This serves as the main hub for posting the iDAKs reading group's schedules and papers we read. If you have any suggestions or questions, please create an issue or submit a PR : )
LLM + Interesting Topics iDAKs care about
Query Languages/ Data Cleaning/ Trustworthy Machine Learning/ Provenance/ Semantic Scholar/ Knowledge Graph/ Argumentation …
Every Thursday 11am-12pm CST
Sec | Date | Topic | Presenter | Paper |
---|---|---|---|---|
S1 | Sep 19 | LLM Agents | Meng Li | AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation |
S2 | Sep 26 | Programming by Example | Yilin Xia | Is Programming by Example solved by LLMs? |
S3 | Oct 3 | Retrieval-Augmented Generation (RAG) | Yuanxi | Graph Retrieval-Augmented Generation: A Survey |
S4 | Oct 10 | Uses in Cognitive Science / Psychology | Tre | CogBench: a large language model walks into a psychology lab |
S5 | Oct 24 | Persona | Yiren | Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs |
S6 | Nov 7 | Weakly-supervised Text Classification (Practice Talk) | Jerome | SciPrompt: Knowledge-augmented Prompting for Fine-grained Categorization of Scientific Topics |
S7 | Nov 14 | Reasoning Capability | Lan | Chain-of-table: Evolving tables in the reasoning chain for table understanding |
For spring 2024, we meet every Wednesday 11am-12pm CST
- LLMDataHub: Awesome Datasets for LLM Training https://github.com/Zjh-819/LLMDataHub
- ai4db and db4ai work https://github.com/TsinghuaDatabaseGroup/AIDB