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tomhosking/README.md

I'm a PhD student in NLP at Edinburgh supervised by Mirella Lapata, working on discrete latent variable models for language generation.

Projects

HIRO: Hierarchical Indexing for Retrieval-Augmented Opinion Summarization - Tom Hosking, Hao Tang & Mirella Lapata

Human Feedback is not Gold Standard - Tom Hosking, Phil Blunsom & Max Bartolo (ICLR 2024)

Hercules - Code for the paper "Attributable and Scalable Opinion Summarization", Tom Hosking, Hao Tang & Mirella Lapata (ACL 2023)

HRQ-VAE - Code for the paper "Hierarchical Sketch Induction for Paraphrase Generation", Tom Hosking, Hao Tang & Mirella Lapata (ACL 2022)

Separator - Code for the paper "Factorising Meaning and Form for Intent-Preserving Paraphrasing", Tom Hosking & Mirella Lapata (ACL 2021)

TorchSeq - a sequence modelling framework, built in PyTorch

McKenzie - a Slurm scheduler job monitor

My neural question generation model implementation

Pinned Loading

  1. hercules hercules Public

    Hercules: Attributable and Scalable Opinion Summarization (ACL 2023)

    Python 19 3

  2. cohere-ai/human-feedback-paper cohere-ai/human-feedback-paper Public

    Code and data from the paper 'Human Feedback is not Gold Standard'

    Jupyter Notebook 18 1

  3. hiro hiro Public

    HTML 3 1

  4. hrq-vae hrq-vae Public

    Hierarchical Sketch Induction for Paraphrase Generation (Hosking et al., ACL 2022)

    Python 51 7

  5. torchseq torchseq Public

    Pytorch Seq2Seq framework

    Python 26 4

  6. separator separator Public

    Code for the paper "Factorising Meaning and Form for Intent-Preserving Paraphrasing", Tom Hosking & Mirella Lapata (ACL 2021)

    Python 27 5