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https://github.com/tomhosking/tomhosking

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https://github.com/tomhosking/tomhosking

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## [Tom Hosking](http://tomho.sk)

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](https://github.com/tomhosking/hiro) - Tom Hosking, Hao Tang & Mirella Lapata

[Human Feedback is not Gold Standard](https://github.com/cohere-ai/human-feedback-paper) - Tom Hosking, Phil Blunsom & Max Bartolo (ICLR 2024)

[Hercules](https://github.com/tomhosking/hercules) - Code for the paper "[Attributable and Scalable Opinion Summarization](https://aclanthology.org/2023.acl-long.473/)", Tom Hosking, Hao Tang & Mirella Lapata (ACL 2023)

[HRQ-VAE](https://github.com/tomhosking/hrq-vae) - Code for the paper "[Hierarchical Sketch Induction for Paraphrase Generation](https://aclanthology.org/2022.acl-long.178/)", Tom Hosking, Hao Tang & Mirella Lapata (ACL 2022)

[Separator](https://github.com/tomhosking/separator) - Code for the paper "[Factorising Meaning and Form for Intent-Preserving Paraphrasing](https://aclanthology.org/2021.acl-long.112/)", Tom Hosking & Mirella Lapata (ACL 2021)

[TorchSeq](https://github.com/tomhosking/torchseq) - a sequence modelling framework, built in PyTorch

[McKenzie](https://github.com/tomhosking/mckenzie) - a Slurm scheduler job monitor

My [neural question generation model](https://github.com/bloomsburyai/question-generation) implementation