✨Welcome to SurveyX! This GitHub repository serves as a channel for users to submit requests for paper generation based on specific topics or domains.📚
🚀 We're actively developing a full-featured product with a sleek graphical interface!
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SurveyX is an advanced academic survey automation system that leverages the power of Large Language Models (LLMs) to generate high-quality, domain-specific academic papers and surveys.🚀
By simply providing a paper title and keywords for literature retrieval, users can request comprehensive academic papers or surveys tailored to specific topics.
If you're curious about how SurveyX works or want to understand the underlying technology and methodology, feel free to check out our 📑website, where we provide an in-depth explanation of the system's architecture, data processing methods, and experimental results.
This GitHub repository is designed to provide a platform where users can request the generation of high-quality, domain-specific academic surveys by simply submitting an issue. The main purpose of this repository is to allow users to easily create and receive tailored academic surveys or papers, which are generated using SurveyX📄
By submitting an issue with a paper title and keywords for literature search, users can quickly generate a comprehensive review paper or survey on a specific topic. This process streamlines academic research by automating paper creation, saving users time and effort in compiling research content. 📚💡
To request a paper, create a new issue with the following details:
- Paper Title: Provide the title of the paper you need.
- Keywords for Literature Search: Provide keywords separated by commas that will help retrieve relevant literature and guide the content generation (e.g. "AI in healthcare, climate change impact on agriculture, ethical implications of AI"). We recommend that the number of keywords be limited to 4 ~ 5 for optimal results.
- Your email(optional): Please provide your email address so that we can notify you promptly once the paper is ready.
Title: Controllable text generation of LLM: A Survey
Keywords: AI, healthcare, ethical implications, technology adoption, AI-driven diagnostics
Email: xxxxxxxx@SurveyX.cn
Once your request is submitted, the generated paper will be placed in the user requests folder. Please allow 1-2 business days for processing and generation. ⏳
Title | Keywords |
---|---|
From BERT to GPT-4: A Survey of Architectural Innovations in Pre-trained Language Models | Transformer, BERT, GPT-3, self-attention, masked language modeling, cross-lingual transfer, model scaling |
Unsupervised Cross-Lingual Word Embedding Alignment: Techniques and Applications | low-resource NLP, few-shot learning, data augmentation, unsupervised alignment, synthetic corpora, NLLB, zero-shot transfer |
Vision-Language Pre-training: Architectures, Benchmarks, and Emerging Trends | multimodal learning, CLIP, Whisper, cross-modal retrieval, modality fusion, video-language models, contrastive learning |
Efficient NLP at Scale: A Review of Model Compression Techniques | model compression, knowledge distillation, pruning, quantization, TinyBERT, edge computing, latency-accuracy tradeoff |
Domain-Specific NLP: Adapting Models for Healthcare, Law, and Finance | domain adaptation, BioBERT, legal NLP, clinical text analysis, privacy-preserving NLP, terminology extraction, few-shot domain transfer |
Attention Heads of Large Language Models: A Survey | attention head, attention mechanism, large language model, LLM,transformer architecture, neural networks, natural language processing |
Controllable Text Generation for Large Language Models: A Survey | controlled text generation, text generation, large language model, LLM,natural language processing |
A survey on evaluation of large language models | evaluation of large language models,large language models assessment, natural language processing, AI model evaluation |
Large language models for generative information extraction: a survey | information extraction, large language models, LLM,natural language processing, generative AI, text mining |
Internal consistency and self feedback of LLM | Internal consistency, self feedback, large language model, LLM,natural language processing, model evaluation, AI reliability |
Review of Multi Agent Offline Reinforcement Learning | multi agent, offline policy, reinforcement learning,decentralized learning, cooperative agents, policy optimization |
Reasoning of large language model: A survey | reasoning of large language models, large language models, LLM,natural language processing, AI reasoning, transformer models |
Hierarchy Theorems in Computational Complexity: From Time-Space Tradeoffs to Oracle Separations | P vs NP, NP-completeness, polynomial hierarchy, space complexity, oracle separation, Cook-Levin theorem |
Classical Simulation of Quantum Circuits: Complexity Barriers and Implications | BQP, quantum supremacy, Shor's algorithm, post-quantum cryptography, QMA, hidden subgroup problem |
Kernelization: Theory, Techniques, and Limits | fixed-parameter tractable (FPT), kernelization, treewidth, W-hierarchy, ETH (Exponential Time Hypothesis), parameterized reduction |
Optimal Inapproximability Thresholds for Combinatorial Optimization Problems | PCP theorem, approximation ratio, Unique Games Conjecture, APX-hardness, gap-preserving reduction, LP relaxation |
Hardness in P: When Polynomial Time is Not Enough | SETH (Strong Exponential Time Hypothesis), 3SUM conjecture, all-pairs shortest paths (APSP), orthogonal vectors problem, fine-grained reduction, dynamic lower bounds |
Consistency Models in Distributed Databases: From ACID to NewSQL | CAP theorem, ACID vs BASE, Paxos/Raft, Spanner, NewSQL, sharding, linearizability |
Cloud-Native Databases: Architectures, Challenges, and Future Directions | cloud databases, AWS Aurora, Snowflake, storage-compute separation, auto-scaling, pay-per-query, multi-tenancy |
Graph Database Systems: Storage Engines and Query Optimization Techniques | graph traversal, Neo4j, SPARQL, property graph, subgraph matching, RDF triplestore, Gremlin |
Real-Time Aggregation in TSDBs: Techniques for High-Cardinality Data | time-series data, InfluxDB, Prometheus, downsampling, time windowing, high-cardinality indexing, stream processing |
Self-Driving Databases: A Survey of AI-Powered Autonomous Management | autonomous databases, learned indexes, query optimization, Oracle AutoML, workload forecasting, anomaly detection |
Multi-Model Databases: Integrating Relational, Document, and Graph Paradigms | multi-model database, MongoDB, ArangoDB, JSONB, unified query language, schema flexibility, polystore |
Vector Databases for AI: Efficient Similarity Search and Retrieval-Augmented Generation | vector database, FAISS, Milvus, ANN search, embedding indexing, RAG (Retrieval-Augmented Generation), HNSW |
Software-Defined Networking: Evolution, Challenges, and Future Scalability | OpenFlow, control plane/data plane separation, NFV orchestration, network slicing, P4 language, OpenDaylight, scalability bottlenecks |
Beyond 5G: Architectural Innovations for Terahertz Communication and Network Slicing | network slicing, MEC (Multi-access Edge Computing), beamforming, mmWave, URLLC (Ultra-Reliable Low-Latency Communication), O-RAN, energy efficiency |
IoT Network Protocols: A Comparative Study of LoRaWAN, NB-IoT, and Thread | LPWAN, LoRa, ZigBee 3.0, 6LoWPAN, TDMA scheduling, RPL routing, device density management |
Edge Caching in Content Delivery Networks: Algorithms and Economic Incentives | CDN, Akamai, cache replacement policies, DASH (Dynamic Adaptive Streaming), QoE optimization, edge server placement, bandwidth cost reduction |
A survey on flow batteries | battery electrolyte formulation |
Research on battery electrolyte formulation | flow batteries |
Title | Keywords |
---|---|
Think and Draw! A survey on Vision-MLLMs that can understand and generate | vision-language models, multimodal learning, generative AI |
A Survey of new intent detection and discovery for Conversational Understanding | Out-of-domain Detection, New Intent Discovery, Generalized Category Discovery |
A Survey of Segment Anything Model (SAM) in Medical Imaging: Advances in Vision Foundation Models | Segment Anything Model (SAM), Medical Image Segmentation, Vision Foundation Models, Prompt Engineering, Efficient Fine-Tuning |
A Survey of joint extraction of medical entities and relations | Medical Entity Recognition, Joint Extraction, Relation Extraction, Biomedical Text Mining, Deep Learning |
Reinforcement Learning for Large Language Models: Methods, Challenges, and Applications | Large Language Models, Reinforcement Learning, RLHF, Reward Modeling, AI Alignment, Fine-Tuning, Prompt Optimization, Self-Supervised Learning, Model-based RL, Meta-Reinforcement Learning, AI Agents, Multi-Agent Reinforcement Learning (MARL), Curriculum Learning, Few-Shot Learning, Continual Learning, Adaptive Learning, Human-in-the-Loop Learning |
Process Reward Models for LLM Reasoning | Process Reward Model, Reasoning, Large Language Model |
Novel Multiferroics coupling ferroelectricity with Skyrmion, altermagnetism or Ferrovalley | Multiferroic, Skyrmion, altermagnetism, Ferrovalley, ferroelectricity |
Comparative study of cardiac markers CKMB and LDH in pericardial fluid for postmortem diagnosis | Forensic medicine, Postmortem diagnosis, Sample timing, Cardiac muscle fibers, Myocardial infarction |
A Multi-dimensional Perspective on Hybrid Human-Artificial Intelligence: Opportunities and Challenges in the Era of Large Language Models | Hybrid Human-Artificial Intelligence, Large Language Models, Deep Learning, Reinforcement learning |
Multimodal fusion with Multimodal Temporal Data for Clinical prediction | Multimodal temporal data, Deep learning in healthcare, Clinical decision support systems (CDSS), Temporal alignment, Uncertainty quantification, Reinforcement learning in medicine, Medical image sequence analysis, Interpretable machine learning |
A Survey on Unit Test Case Generation | Unit Test, Unit Testing, Large Language Model |
Enhancing Blind Image Deblurring Robustness Against Saturated Images | Blind Deblurring, Impulse Noise Detection, Non-convex Optimization, Saturated Images |
A Comprehensive Survey of Token Compression for Vision Transformers, Vision Generation, Large Language Models, Large Multimodal Models | Token Compression, Token Pruning, Token Reduction, Token Merging, Accelerating Diffusion Transformers, Vision-Language Models, Image Generation, Video Generation, Vision Transformers. Large Language Models, Acceleration, Efficient Large Multimodal Models |
Automatic Detection of Age-Related Macular Degeneration in Mice Using OCT Images and Deep Neural Networks | Age-Related Macular Degeneration (AMD), Optical Coherence Tomography (OCT), Convolutional Neural Networks (CNN), VGG16, ResNet, Deep Learning,nnUNet, Biomedical Image Analysis, Classification Models, Artificial Intelligence in Ophthalmology |
Deep learning for depression recognition with multimodal : A Review | Depression, Multimodal methods, Emotion recognition, Deep learning, Unimodal methods, Psychological abnormalities |
Paper on the PET image reconstruction, focused on the methods in the generation AI era, comparing deterministic and generative methods | AI, medical imaging, PET, reconstruction, generative model |
LLM-based Autonomous Agents Empowered Social Sciences: From a Social Simulation Perspective | large language models, LLM-based agent, social simulation, social science, social intelligence, world simulation |
Multi-modal Knowledge Graph Completion and Its Application: A Comprehensive Survey | Knowledge Graphs, Multi-modal Knowledge Graph Completion, Multi-modal Fusion, Knowledge Graph Application, Link Prediction |
A Fingerprint Localization Algorithm Based on Low-Density Tags | Indoor location, Fingerprint location |
Document Understanding with Multi-modal Large Language Model : A Survey | Document Understanding, Multi-modal Large Language, Document AI, Document VQA |
Towards human-like multimodal perception and cognition: A review of challenges and future prospects of MLLM multimodal alignment. | nan |
Automated Material Synthesis Laboratory: A Survey | Robotics, AI, LLM, Autonomous laboratory, Active learning, Machine learning, Deep learning, High-throughput, DFT, Materials science, Chemistry |
Emergent Abilities in Large Language Models: a Survey | Large Language Models, Emergent Abilities |
A Comprehensive Survey of Text-to-Speech Synthesis: Technologies, Methodologies, and Applications | Text-to-speech (TTS) systems, speech synthesis architectures, parametric TTS, neural TTS, deep learning for speech synthesis, waveform generation, vocoders, prosody modeling, multilingual speech synthesis, real-time TTS, voice conversion, zero-shot TTS, evaluation metrics for TTS |
From Signal to Parameter: A Complete Technical Guide to All PPG-Derived Measurements and Their Extraction Methods | Photoplethysmography, Biosensors, Signal processing, Optical monitoring, Vital signs, Biomedical engineering |
The Potential and Challenges of Artificial Intelligence in Policing : A survey | AI, Policing, Law enforcement, Crime prevention, Surveillance, Predictive analytics, Ethics, Bias, Decision-making, Legal implications |
Application of multi-modal large-scale model in robot orientation | Multi-modal large model, robot, Reinforcement learning, embodied intelligence,Hybrid model of experts |
Application Research on fatigue detection using face recognition technology | Fatigue detection, face recognition, deep learning image processing |
Deep Learning Applications in Single-cell Omics for Colorectal Cancer Research | Deep Learning, Single-cell Omics, Colorectal Cancer, Bioinformatics |
Prediction of shear strength parameters of granite residual soil based on machine learning | granite residual soil, machine learning, shear strength parameters, data processing, model interpretability |
Quantifying the Use and Impact of Machine Learning in Lung Sound Classification and Recognition | Machine learning, lung sounds, respiratory sound recognition, Pulmonary sound analysis,Feature extraction |
Process Reward Models for Large Language Model Reasoning: A Comprehensive Review | Large Language Models, process supervision, step-level supervision, process reward model (PRM), step-level reward, process verifier, step-by-step verifier, Reinforcement Learning |
A Comprehensive Survey of Low-Rank Adaptation (LoRA) in Large Language Models, Vision Generation, Large Multimodal Models and Beyond: Methods, Theories, Applications and Opportunities | LoRA (Low-Rank Adaptation), LoRA Hyperparameters, LoRA with Pruning, Multimodal learning, Vision-Language Models |
Symbolic Regression: Architectures, Benchmarks, and Emerging Trends | symbolic regression, sparse regression, equation discovery, genetic algorithms, Reinforcement Learning, large language models |
A Comparative Analysis of Dual Vocational Education Systems: Germany vs. Spain and Implications for Chinese Vocational Education Reform | Dual vocational education system, Germany vocational training, Spain vocational education |
EEG Foundation Model: A Survey | AI, EEG, Foundation model, Deep Learning, Time Series, BCI |
Large Language Model Security: A Survey | Adversarial sample defense and attack, Backdoor attack and defense, Training data poisoning, Model watermarking |
Survey On Image Segmentation Machine Learning Models. | Image Segmentation, Instance segmentation, Semantic segmentation, Panoptic segmentation, SAM2, SegFormer, BiRefNet, DeepLab, Mask2FormerForUniversalSegmentation. |
Video Generative Models in Embodied Intelligence: Advances, Applications, and Future Directions | Video Generation Models, Embodied Intelligence, Generative Adversarial Networks (GANs), Diffusion Models |
PCB defect detection: a survey | PCB defect detection |
Diffusion Models in object detection: A survey. | Diffusion Models, object detection, object recognition |
The Impact of AI Image Recognition Technology in Sports Fitness Training on Customer Participation and Repurchase Intention: A Survey | Image Recognition, Sports Fitness Training, Customer Participation, Repurchase Intention |
A review on AGI-enabled solutions for IoX services exploding with cyber-physical-social-thinking space | services exploding, AI, internet of things, internet of people, Internet of Thinking |
Automatic Vulnerability Detection in Distributed System: A Survey | AI, Vulnerability Detection, Distributed System, RDMA, Cloud, MPI, File System, Large Scale, LLM |
A review of deep-learning-based approaches for Positron Emission Tomography Reconstrution | deep learning, Positron Emission Tomography, PET image reconstrution |
Finetuning Mixture of Experts LLMs: Methods, Applications, Risks and Opportunities | LLMs, Large Language Models, Mixture of Experts, training, Continued Pretraining, Finetuning, SFT, Supervised Finetuning, MOE, Expert router, LORA, PEFT, Full Finetuning, retraining experts, finetuning experts |
A Survey on Large Language Model based Autonomous Agents | Autonomous agent, Large language model, Human-level intelligence, AGI, ASI, coding |
Progress and Prospects of Research on the Whole Stage of Coal Spontaneous Combustion | spontaneous combustion, comprehensive prevention and control throughout all stages, machine learning, artificial intelligence, informatization, monitoring and early warning, fire prevention and control, emergency rescue |
a survey on large language model for debugging the programs | Autonomous agent, Large language model, Debug, Debug like a Human, Human in the loop, Human-Computer Interaction, Automatic Program Repair, self-debug, testing |
Advancing Cardiovascular Care Through Digital Twin Technology: A Comprehensive Review of State-of-the-Art Methods | Computational Modelling, Digital Twin, Personalized Treatment, Electrophysiology, Atrial Fibrillation, Ventricular Tachycardia, Ischemic Heart Disease, Heart Failure, CRT, PET, diagnosis, treatment selection (stent, operation, drugs), responders and non-responders, intra-operative |
3D Generation and Editing Technology Guided by Large Language Models: A Survey | large language models, 3d representation, inverse graphics, text-to-3D, diffusion model, 3D understanding and reasoning, multimodal information Fusion, physics-based modeling, efficiency and interactivity, fine-grained control and semantic chasm |
Deepfake Detection Guided by data augmentation: A Survey | deepfake, data augmentation, inverse graphics, classifier, computer vision, faceswap |
A Comprehensive Survey of Facial Landmark Detection | facial landmark detection, face alignment, 3d facial landmarks, face morphing, facial retouching, virtual makeup |
Acceleration of an aligner for long noisy sequences in multicore CPUs | Multicore CPUs, OpenMP, Python, SuffixAligner, BAM, SuffixArray |
Domain Adaptation in Medical Imaging: A Survey | medical imaging, domain adaptation, machine learning, healthcare, image processing |
Energy Communities: Global Trends, Nordic Innovations, and the Swedish Transition | decentralized energy systems, renewable energy transition, citizen participation, energy democracy |
A Comprehensive Review of Sepsis: Mechanisms, Clinical Management, and MIMIC Database-Driven Insights | Sepsis, mimic database, data mining, critical care, pathophysiology, clinical management, prognostic indicators, big data analytics, machine learning, deep learning, evidence-based medicine |
Tree Crown Delineation in Remote Sensing: A Review | Individual tree crown delineation, Tree crown detection, LiDAR, RGB high-resolution imagery, UAV remote sensing, very high-resolution , multispectral, deep learning, tropical forest, ecology, remote sensing, aerial imagery, automatic tree crown delineation |
Saudi Arabia Defense Diplomacy | Defense diplomacy, military diplomacy, defense policy, saudi arabia |
Ecological Succession and Canopy Gaps: A Survey on Tree Architecture, Species Strategies, and Gap Dynamics | Ecological succession, canopy gaps, tree architecture, species temperament |
Understanding Geospatial Data Through Deep Learning: A Survey on LLM-Based Approaches | Geospatial data, deep learning, large language models (LLMs), remote sensing |
Systematic Review on Telemedicine Pre and Post Covid 19 Pandemic and Impact of Generative AI | Telemedicine, AI in healthcare, pandemic healthcare, medical LLMs, vision-language models, patient outcomes. |
Tropical Forest Degradation and Changes in Tree and Canopy Structure: From Local Observations to Large-Scale Remote Sensing Analyses (Imagery and LiDAR) | Tropical forest degradation, canopy structure, tree architecture, spatiotemporal dynamics |
The Application of Artificial Intelligence in Hematolymphoid Diseases | artificial intelligence, machine learning, deep learning, lymphopoietic diseases |
Adversarial Malware: AI-Driven Evasion Techniques and Countermeasures | adversarial malware, machine learning evasion, AI-based malware detection, dynamic analysis |
Cognitive Bias and Gender Stereotypes in Large Language Models: Toward Controllable and Ethical Text Generation | AI, Cognitive Bias, Ethical Implications, Gender Stereotypes, Language Models |
Numerical simulation and analysis of expansion for supercritical carbon dioxide: A Survey | Supercritical CO2, Real Gas, Equation of state, CFD, impinging jet, multi-phase, transcritical flow |
Prediction of Emerging Small E-waste Generation: A Review of Multi-source Heterogeneous Data Fusion Methods Based on Machine Learning | Emerging small e-waste (ESW), multi-source heterogeneous data fusion, machine learning |
Artificial Intelligence Data Center for AI model training: a Survey | Model Training, RDMA, Network topology, congestion control, load balancing |
Evolution and Challenges in Discrete Representation TTS: A Systematic Analysis of Encoding, Modeling and Decoding | Discrete Representation, Text-to-Speech, Vector Quantization, Codebook Learning |
Generate personalized text summaries using LLM | personalized LLM, text summaries, abstractive summaries, user portrait |
Reinforcement Learning Training Mechanisms in Large Language Models: Key Technical Analyses from Reward Modeling to Policy Optimization | Reinforcement Learning, Reward Modeling, PPO, GRPO, Reinforcement Learning from Human Feedback (RLHF) |
Immersive VR Training for Educators: A Solution to Managing Student Crises and Promoting Mental Health Awareness | student crisis management, teacher training, mental health education, virtual reality training, depression, VR in education |
LLM-Assisted Low-Resource Code Generation: A Comprehensive Survey on Techniques and Future Directions | LLMs, Low-Resource, Code Generation, Code Synthesis, Prompt Engineering, Agent System |
LLM agents in Science of Science: A survey | LLM agents in the Science of Science, AI in the Science of Science, LLM agents in Scientometrics, LLM agents in the Library and Information Science |
Cardiovascular disease therapeutics via engineered gut microbiota: Applications and perspective | cardiovascular disease, therapeutics, gut microbiota, clinical applications |
A Comprehensive Survey on LLM-Post-Training-oriented Data Synthesis | - |
Using Large Language Model Agents in psychology | Large Language Model, LLM Agents, psychology |
Hybrid Multi-Scale Attention Network (HMSA-Net) using YOLOv11 | GAM, SPPF, YOLOv11, Super Resolution |
Request for a Survey Paper on Agricultural AI Applications | - |
Vision-and-language navigation:Task,Method | vision-and-language navigation, LSTM, Transformer, Cross-modal, LLM, VLM, RL, IL, A2C |
Design of bridge pile foundation in karst area based on three-dimensional geological model | Karst, three-dimensional geological model, Passing through karst cave pile foundation, finite element simulation, monopile, Pile effect coefficient |
Comprehensive Review of Document Layout Analysis: Techniques, Applications, and Future Directions | Document Layout Analysis, Page Segmentation, Deep Learning, Computer Vision |
Exploring the Influence of Free Iron Oxide Content on the Mechanical Properties of Granite Residual Soil Based on PFC3D Discrete Element Method | residual soil of granite, Free iron oxide, Discrete Element Method, Shear strength of residual granite soil, Compressibility of residual granite soil, PFC3D |
A Comprehensive Review of Computer Vision, Augmented Reality, and Human Pose Estimation Applications in Medical Rehabilitation | Computer Vision, Augmented Reality (AR), Human Pose Estimation, Medical Rehabilitation |
Review of Federated Recommender Systems From Recommendation Task View | Recommender systems, Federated learning, Privacy preservation, Collaborative recommendation |
Intelligent Data Processing Techniques for Space Object Sensing: Feature Extraction, Multi-Source Fusion, and Heterogeneous Orbit Determination | Space Object Sensing, Space Situational Awareness (SSA), Heterogeneous Multi-Source Orbit Determination, Multi-Dimensional Space Data Fusion |
industrial automation with computer vision intelligence: A Survey | AI, Industry 4.0, Automation, Computer Vision, Surveillance, Safety, Anomaly |
Fabric defect detection: a survey | Fabric defect detection |
Variation Propagation Model in “Pose Adjustment - Matching”Process for Aircraft Component Assembly: A Survey | Variation Propagation, Large Aircraft Component Assembly, Pose Adjustment in Assembly |
Joint optimization of space allocation and yard crane deployment in container terminal under uncertain demand | Container terminal, Space allocation, Yard crane deployment, Uncertainty |
Trustworthiness of Large Language Models: A Survey | LLM, trustworthiness, uncertainty, hallucination, faithfulness |
Progress in the Application of GEOAI in Land System Science | - |
Event Extraction Framework Based On Large Language Models | Event Extraction, Large Language Model, Data Augmentation, Few-shot |
Bias and Fairness Metrics: Practical Applications, Limitations, and Future Directions | Bias Measurement, Fairness Metrics, Algorithmic Fairness, Fairness Evaluation |
Applications of Neural Networks in Fault Diagnosis:Difficulties, Methods, Cutting-edge Technologies | Machine Learning, Deep Learning, Artificial Neural Networks, Convolutional Neural Networks |
Research on IT Service Support Process Improvement based ITIL-A Case Study on M Company’s X System | IT service support, IT service management, ITIL3.0, process improvement, process performance baseline |
Research on the Symbiosis Pathway between Locality and Popular Culture in Tourist Destinations Driven by Cultural Endogeneity | culturally endogenous-driven, symbiosis pathway, locality of tourist destinations, popular culture |
Taxonomy and Ecological Associations of Mytilinidiaceae and Sistotrema: Focus on Coniferous Hosts and Pine | - |
A Comprehensive Review of research and development of fault-tolerant architecture of natural language processing problem | audio processing, Fault-tolerant, Scalability, Microservices |
Multimodal Retrieval-Augmented Generation: A Survey | Multimodal, Large Language Model, Retrieval-Augmented Generation |
A Comprehensive Review of AutoML systems and approaches | AutoML, Machine Learning, Model Selection, Hyperparameter Optimization, Feature Engineering, Machine Learning Pipelines, Data Preprocessing, Model Evaluation |
Model Context Protocol (MCP): A Survey | Model Context Protocol (MCP), AI model interoperability, context-aware systems, protocol design, distributed AI frameworks |
Large Language Models for Data Quality Processing: A Survey | AI, LLM, Data Quality, ETL, Knowledge Models, Shift Left, Data Contracts, Data Observability, Knowledge Models, Ontology |
Optimization of Metal-Organic Framework Membranes for Desalination Driven by Machine Learning | Metal-Organic Framework Membranes, Desalination, Machine Learning, Molecular dynamics |
The Chinese University of Hong Kong, Shenzhen students' Understanding of International Relations | international relations, the Chinese University of HongKong Shenzhen, Sino-foreign cooperative education, Chinese undergraduates, educational innovations |
Synthetic Training Data via Diffusion Model: A Review on Boosting Object Detection with Diffusion Model | Diffusion Models, Data Augmentation, Object Detection Enhancement, Image Generation |
Evaluation Benchmarks for Multimodal Large Language Models in Video Tasks: Current State and Challenges | Multimodal Large Language Models, Video, Evaluation Benchmarks, Video Understanding |
In-context Learning for LLM Complex Reasoning Tasks: A Survey | In-context learning, LLM, reasoning, logical problem, math problem. |
A survey on classifier fine-tuning alignment in federated long-tail learning | federated long-tail learning, classifier fine-tuning, distribution alignment |
Estimation of oil tank reserves based on remote sensing images: A Survey | AI, Oil tank, Optical high resolution remote sensing images |
Dynamic Task Planning for Long-horizon Mobile Manipulation: A Survey | task planning, mobile manipulation, long-horizon, robotics |
Quadruped Robot Learning: A Survey | quadruped robots, mobile manipulation, legged locomotion, whole-body control |
Microservice Scheduling in Hybrid Cloud Scenarios: A Survey | microservices, hybrid cloud, schdule |
A Survey on Microservice Autoscaling | microservices, autoscaling, schdule |
A Survey on query-product relevance predicting | sentence relevance, recommend system |
A Survey on deep research relevance Technology Progress | deep research, search agent, ai writing |
A Survey on Unsupervised Domain Adaptation for Semantic Segmentation of Remote Sensing Images | Remote sensing, semantic segmentation, unsupervised domain adaptation |
Intelligent Massage Robots: Motion Control, Key Algorithms, and Advancements in AI and Embodied Intelligence | Intelligent Massage Robots, healthcare, Motion Control, Key Algorithms |
Deep Learning-based Methods for Multivariate Time Series Imputation: A Survey | Deep learning, Multivariate Time Series, Imputation |
A Comprehensive Review of Multimodal Large Models: Mechanisms, Applications, and Insights from Sensory Integration | Multimodal AI, sensory integration, cross-modal learning, audio-visual perception |
A Comprehensive Review of Scene Text Synthesis and Visual Text Generation: Techniques, Applications, and Future Prospects | Scene text synthesis, visual text generation, natural language processing, deep learning |
A comprehensive review of core/cusp problem and oblateness of the dark matter halos of galaxies | galaxy, Milky Way, dark matter, galaxy simulation, stellar feedback |
Evaluating Personality in Large Language Models: A Survey | LLM, Personality |
Large Language Models in Transportation: A Survey, Tutorial, and Outlook | LLMs, VLMs, MLLMs, Transportation, Intelligent Transportation Systems |
Unifying LLM and Operating System: A Survey | Large Language Models, Operating System, Edge Device Deployment, AI Agent Schedule |
Deep Learning for Time Series Anomaly Detection: A Survey | Deep learning, Time Series, Anomaly Detection, Outlier Detection |
Null Space Methods in Large Language Models: Applications and Insights | Parameter-efficient tuning, Large language models |
AI Alignment and Human-Machine Trust: A Survey | Value Alignment, AI Alignment, Trust in AI systems |
Recent advances in AI-aided brain state modeling and decoding: a comprehensive review | Brain-computer interface, EEG acquisition device in medical care and daily life scenerios, Progress in deep learning-based EEG signal decoding, Complex network theory-based brain network modeling |
Exploiting MSK Orthogonality in CDMA and DSSS Systems: A Survey | MSK, CDMA, DSSS, Temporal Correlation |
Vocabulary Object Detection in VLM Era: A Survey | Open Vocabulary, Scene Understanding, Object Detection, Vision Large Language Model |
Research and Optimization of Steel Structure Node Design | steel structure, node design, connection performance, seismic design |
Three-dimensional Medical Image Semantic Segmentation Research | artificial intelligence, machine learning, deep learning, medicine |
Implementation plan for AI model implementation in Macao enterprises | artificial intelligence, ethical impact, technology adoption |
Application of Diffusion Models in Medical Imaging | Diffusion Models, Medical Imaging, Data Synthesis |
Few-shot continual learning | few-shot learning, continuous learning, catastrophic forgetting |
Systemic risk measure and contagion network: A Survey | Systemic risk, risk measure, contagion network, spillover network |
Classical Simulation of Quantum Computers | quantum computing fundamentals, quantum state representation, strong/weak simulation theory, state vector simulation techniques |
Quantum Machine Learning Application on Quantum Computational Chemistry | Quantum Computing, Symmetry, Quantum Chemistry, Quantum Machine Learning |
Advancement of oriented tissue regeneration via 3D printing technique | 3D printing technique, regulating cell behavior, oriented tissue regeneration |
survey on image-based person re-identification | deep learning, opencv, person re-identification, image |
survey on Off-Road 3D Perception for mobile robots | traversability estimation, Off-road environments, 3D Semantic Segmentation |
A survey of the application of deep learning in the field of oral cone-beam CT | deep learning, cone-beam CT, image analysis, dentistry |
Graph Neural Network-based Surrogate PDE Solvers: A Review and Perspectives | Partial Differential Equations, Graph, GNN-based, Surrogate PDE Solvers |
A review of intelligent design of architectured material | Machine Learning, AI, LLM, metamaterials |
A review of Multiscale Mechanics | Machine Learning, AI, LLM, Multiscale Mechanics |
A review of AI application in Multiscale Mechanics | Machine Learning, AI, LLM, Multiscale Mechanics |
Distributed Strategies for Pursuit-Evasion Games with A Single Evader and Multiple Pursuers | Pursuit-Evasion Games, Distributed Control, Differential Games |
The α-Synuclein Origin and Connectome Model (SOC Model) of synucleinopathy: Status as of 2025 | alpha-synuclein, autonomic nervous system, connectome |
A Comprehensive Survey On Prompting Languages And Paradigms for Large Language Models | prompt programming, Prompting Language, Prompting Is Programming |
Large Language Models as Autonomous Researchers: A Systematic Review of AI Scientist Systems for Scientific Discovery | AI scientist, Large Language Model, multi agent, scientific discovery |
The Application of Digital Technology in Oral Surgery Nursing Care:a literature review | orthognathic surgery, oral surgery, Oral and Maxillofacial Surgery, computer⁃aided design, computer⁃as⁃sisted surgery |
Deep Learning Models for Automated Medical Coding from EHRs: A survey | Automated Medical coding, Deep learning, Computer assisted clinical coding, Clinical classification and coding |
Multimodal Large Language Models in Cross-Cultural Contexts: A Comprehensive Review of Opportunities and Challenges | Multimodal Large Language Model, Multicultural, Cross-Cultural |
Deepfake Generation and Detection in the Era of Multimodal Large Models: Theory, Practice, and Future Perspectives | Multimodal Large Models, Deepfake, Multimedia |
Large Language Model for Tabular Intelligent Tasks:A Survey | tabular data, table understanding, prompt engineering, datasets |
Document Retrieval and Layout Understanding for Multimodal RAG: A Comprehensive Review | Retrieval-augmented generation (RAG), Multimodal retrieval, document understanding, Document retrieval |
Large Language Model Jailbreak | Attack, Defend, Evaluate |
The molecular and physiological link between sugar metabolism and phytic acid synthesis and metabolism during rice grain filling. | sucrose, phytic acid, grain filling, sugar metabolism |
Deep Learning based Fault Localization and Program Repair: A Survey | Fault Localization, Program Repair, Deep Learning |
PinTu: From Asynchronous Pipeline to Asynchronous Logic | Asynchronous Circuits, Bundle Data, Design Flow, Click |
Hyper-Parallel Superscalar RISC-V Processor Based on Event-Driven Logic | Asynchronous circuits, Superscalar processor, Parallel computing, Instruction-level-parallelism |
A Low-Power Integer Division Architecture for Asynchronous RISC-V Processors | No-restoring algorithm, asynchronous divider, RISC-V processor |
Exploring Federated Learning with Lora-based Finetuning for Personalized Models | Federated Learning, LoRA, Finetuning, Personalization |
Neural Mechanisms of Large Models: A Literature Review on Neuron-Level Interpretation | Large Language Models, Neuron-Level Interpretability, Model Transparency |
Machine Learning enables GC-MS data in field of food industry: A comprehensive Survey | GC-MS, food authentication, AI, deep learning |
A Real-Time Monitoring and Energy Efficiency Optimization Framework for Building Electrical Equipment Based on Edge Computing | Real-time monitoring, Energy efficiency optimization, Edge computing |
Research and implementation of modulation recognition algorithm based on multi-node cooperation | Modulation recognition, Model segmentation, Inference acceleration, Multi-node cooperation |
Learning robot task specification with natural language: A survey | Task specification, task planning, natural language processing |
A Survey on 3D Inverse Rendering from Multi-view Images | 3D vision, inverse rendering, relighting, material estimation |
Multi-agent Systems in Large Language Model Era | multi-agent system, large language model, Artificial Intelligence, Software Engineering |
Analysis of Earth's Rotation Effect on High-Precision Vertical Drilling for Deep Scientific Research Wells | vertical drilling, Earth rotation, Coriolis effect, deep wells |
Application of Neural Symbol Method in LLM Reasoning Tasks: A Survey | Neural Symbol, LLM, reasoning, logical problem, math problem |
Human-AI Collaboration and Governance in Financial Multi-Agent LLM Systems | Multi-Agent LLMs in Finance, Human-AI Collaboration, Task Allocation in AI Decision-Making, AI Governance in Financial Services |
Communication efficient distributed optimization algorithm: A Survey | compressed communication, quantization compression, distributed adaptive filtering |
Neural network methods in the problem of defecting road infrastructure: A Survey | artificial intelligence, defect detection, defect classification, road infrastructure |
Advancements in Efficient Decoding for Large Language Models: A Comprehensive Review | Efficient Decoding, Large Language Models (LLMs), Speculative Decoding, Tree-based Verification |
Sustainable supply chain network optimization for relief items considering resilient strategies and humanitarian | Relief items, Resilient strategies, Humanitarian Supply Chain (HSC) |
Please cite us if you find this project helpful for your project/paper:
@misc{liang2025surveyxacademicsurveyautomation,
title={SurveyX: Academic Survey Automation via Large Language Models},
author={Xun Liang and Jiawei Yang and Yezhaohui Wang and Chen Tang and Zifan Zheng and Shichao Song and Zehao Lin and Yebin Yang and Simin Niu and Hanyu Wang and Bo Tang and Feiyu Xiong and Keming Mao and Zhiyu li},
year={2025},
eprint={2502.14776},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2502.14776},
}
- Our retrieval engine may not have access to many papers that require commercial licensing. If your research topic requires papers from sources other than arXiv, the quality and comprehensiveness of the generated papers may be affected due to limitations in our retrieval scope.
- We currently only support the generation of English academic survey generation. Support for other languages is not available.
- To ensure fair access for all users, each user is limited to one generation per day, prioritizing diverse user needs.
SurveyX uses advanced language models to assist with the generation of academic papers. However, it is important to note that the generated content is a tool for research assistance. Users should verify the accuracy of the generated papers, as SurveyX cannot guarantee full compliance with academic standards.