News
[01/06/24] Serving as a Senior Area Chair at ACL 2024.
[16/05/24] Excited to announce our large multimodal language model, Chameleon, is now released on arxiv! We have also released the code and model weights, as per our Open Source Strategy!
[10/18/23] MLRC 2023 challenge goes live in partnership with TMLR! Read our blog post for more information.
[07/10/23] Excited to share that our paper “Language model acceptability judgements are not always robust to context” has received Outstanding Paper Award at ACL 2023! Very happy and honored!
[06/01/23] New paper: “Language model acceptability judgements are not always robust to context”, which is now accepted as a long paper in ACL 2023, Toronto.
[11/02/22] Successfully defended my PhD! Checkout my thesis here.
[08/29/22] Excited to announce a major life event: I’m starting today as a Research Scientist (Speech & NLP) in Meta AI New York!
[08/19/22] Happy to announce yet another Machine Learning Reproducibility Challenge, the MLRC 2022! This is our six edition!
[01/10/21] Happy to update that our paper “Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little” is accepted as a long paper at EMNLP 2021!
[01/09/21] Happy to announce the new iteration of ML Reproducibility Challenge 2021, which has now enlarged to cover 9 top ML conferences! Submit your reports through Feb 2022!
[03/07/21] On a personal news, got married to my sweetheart Atrayee this July!
[02/07/21] Thrilled to share that our paper UnNatural Language Inference has received Outstanding Paper Award at ACL 2021! Deeply honored!
[15/04/21] Announcing the pre-print of our paper “Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little”. We find RoBERTa trained with sentence word order shuffled data performs remarkably close to natural word order pre-trained models on several downstream and probing tasks!
[01/06/21] Excited to announce that our paper “UnNatural Language Inference”, has been accepted to ACL 2021 (Long paper, Oral), where we stumble upon the weird language understanding mechanisms employed by NLU models!
[02/10/20] Happy to announce our paper “Measuring Systematic Generalization in Neural Proof Generation with Transformers” is accepted at NeurIPS 2020!
[05/09/20] Excited to announce the 2020 edition of the ML Reproducibility Challenge! We now cover 7 major ML conferences, do check it out!
[05/08/20] We released a new blog post on ML Reproducibility Tools and Best Practices. Check it out!
[30/04/20] Public release of our new multi-task graph dataset,
GraphLog. Check out the blog post for more information.[08/04/20] Report on NeurIPS 2019 Reproducibility Program published on arxiv. We have also published our thoughts on Designing the Reproducibility Program for NeurIPS 2020 on Medium.
[15/04/20] Excited to announce two papers accepted to ACL 2020! Probing Linguistic Systematicity and Learning an unreferenced metric for online Dialog evaluation.
[01/12/19] Co-organizing NeurIPS 2019 ML Retrospectives Workshop
[01/09/19] Co-organizing NeurIPS 2019 Reproducibility Challenge and honored to be the NeurIPS 2019 Reproducibility Co-Chair.
[28/01/19] Excited to join Facebook AI Research (FAIR) as PhD Intern!
[14/08/19] Our paper CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text accepted at EMNLP 2019!
[28/09/18] Co-organizing ICLR Reproducibility Challenge, 2019
[04/09/18] Starting PhD at McGill University, advised by Dr Joelle Pineau and Dr William L. Hamilton, from Fall 2018.
[31/08/18] Our paper on A Hierarchical Neural Attention-based Text Classifier accepted at EMNLP 2018!
[01/06/18] Intern-ing at Samsung Advanced Institute of Technology for the Summer!
[01/02/18] Our paper on Ethics in Data Driven Dialog Systems accepted at AAAI/ACM conference on Ethics & Safety.