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McGill NLP's Projects

aurora icon aurora

Code and data for the paper: Learning Action and Reasoning-Centric Image Editing from Videos and Simulation

bias-bench icon bias-bench

ACL 2022: An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models.

diffusers icon diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

diffusion-itm icon diffusion-itm

Code and data setup for the paper "Are Diffusion Models Vision-and-language Reasoners?"

feedbackqa icon feedbackqa

FeedbackQA: Improving Question Answering Post-Deployment with Interactive Feedback

imagecode icon imagecode

Code and data for ImageCoDe, a contextual vison-and-language benchmark

instruct-qa icon instruct-qa

Code and Data for "Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering"

length-generalization icon length-generalization

Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023

llm2vec icon llm2vec

Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'

medal icon medal

Large medical text dataset curated for abbreviation disambiguation, designed for natural language understanding pre-training in the medical domain

retriever-lm-reasoning icon retriever-lm-reasoning

Code for "Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model", EMNLP Findings 2023

scope-ambiguity icon scope-ambiguity

Code and data for the paper 'Scope Ambiguities in Large Language Models'.

topiocqa icon topiocqa

Code and data for reproducing baselines for TopiOCQA, an open-domain conversational question-answering dataset

ud-to-meaning icon ud-to-meaning

A repository for code related to a project mapping Universal Dependencies syntactic forms to meaning representations.

vision-language-models-are-bows icon vision-language-models-are-bows

Experiments and data for the paper "When and why vision-language models behave like bags-of-words, and what to do about it?" Oral @ ICLR 2023

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