PAG2ADMG: A Novel Methodology to Enumerate Causal Graph Structures. - Nishant Subramani; Doug Downey (AAAI, 2017)

Can Unconditional Language Models Recover Arbitrary Sentences? - Nishant Subramani; Samuel R. Bowman; Kyunghyun Cho (NeurIPS, 2019)

Learning Efficient Representations for Fake Speech Detection. - Nishant Subramani; Delip Rao (AAAI, 2020)

Discovering Useful Sentence Representations from Large Pretrained Language Models. - Nishant Subramani; Nivedita Suresh (CoRR, 2020)

A Survey of Deep Learning Approaches for OCR and Document Understanding. - Nishant Subramani; Alexandre Matton; Malcolm Greaves; Adrian Lam (CoRR, 2020)

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics. - Sebastian Gehrmann; Tosin P. Adewumi; Karmanya Aggarwal; Pawan Sasanka Ammanamanchi; Aremu Anuoluwapo; Antoine Bosselut; Khyathi Raghavi Chandu; Miruna-Adriana Clinciu; Dipanjan Das 001; Kaustubh D. Dhole; Wanyu Du; Esin Durmus; et al. (CoRR, 2021)

Natural Adversarial Objects. - Felix Lau; Nishant Subramani; Sasha Harrison; Aerin Kim; Elliot Branson; Rosanne Liu (CoRR, 2021)

Extracting Latent Steering Vectors from Pretrained Language Models. - Nishant Subramani; Nivedita Suresh; Matthew E. Peters (ACL (Findings), 2022)

Data Governance in the Age of Large-Scale Data-Driven Language Technology. - Yacine Jernite; Huu Nguyen; Stella Biderman; Anna Rogers; Maraim Masoud; Valentin Danchev; Samson Tan; Alexandra Sasha Luccioni; Nishant Subramani; Isaac Johnson 001; Gérard Dupont; Jesse Dodge; et al. (FAccT, 2022)

Don't Say What You Don't Know: Improving the Consistency of Abstractive Summarization by Constraining Beam Search. - Daniel King; Zejiang Shen 001; Nishant Subramani; Daniel S. Weld; Iz Beltagy; Doug Downey (CoRR, 2022)

Data Governance in the Age of Large-Scale Data-Driven Language Technology. - Yacine Jernite; Huu Nguyen; Stella Biderman; Anna Rogers; Maraim Masoud; Valentin Danchev; Samson Tan; Alexandra Sasha Luccioni; Nishant Subramani; Gérard Dupont; Jesse Dodge; Kyle Lo; et al. (CoRR, 2022)

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. - Sebastian Gehrmann; Abhik Bhattacharjee; Abinaya Mahendiran; Alex Wang; Alexandros Papangelis; Aman Madaan; Angelina McMillan-Major; Anna Shvets; Ashish Upadhyay; Bingsheng Yao; Bryan Wilie; Chandra Bhagavatula; et al. (CoRR, 2022)

Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets. - Julia Kreutzer; Isaac Caswell; Lisa Wang; Ahsan Wahab; Daan van Esch; Nasanbayar Ulzii-Orshikh; Allahsera Tapo; Nishant Subramani; Artem Sokolov; Claytone Sikasote; Monang Setyawan; Supheakmungkol Sarin; et al. (Trans. Assoc. Comput. Linguistics, 2022)

OLMo: Accelerating the Science of Language Models. - Dirk Groeneveld; Iz Beltagy; Evan Pete Walsh; Akshita Bhagia; Rodney Kinney; Oyvind Tafjord; Ananya Harsh Jha; Hamish Ivison; Ian Magnusson; Yizhong Wang; Shane Arora; David Atkinson; et al. (ACL (1), 2024)

Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research. - Luca Soldaini; Rodney Kinney; Akshita Bhagia; Dustin Schwenk; David Atkinson; Russell Authur; Ben Bogin; Khyathi Raghavi Chandu; Jennifer Dumas; Yanai Elazar; Valentin Hofmann; Ananya Harsh Jha; et al. (ACL (1), 2024)

OLMo: Accelerating the Science of Language Models. - Dirk Groeneveld; Iz Beltagy; Pete Walsh; Akshita Bhagia; Rodney Kinney; Oyvind Tafjord; Ananya Harsh Jha; Hamish Ivison; Ian Magnusson; Yizhong Wang; Shane Arora; David Atkinson; et al. (CoRR, 2024)

MICE for CATs: Model-Internal Confidence Estimation for Calibrating Agents with Tools. - Nishant Subramani; Jason Eisner; Justin Svegliato; Benjamin Van Durme; Yu Su 001; Sam Thomson (NAACL (Long Papers), 2025)

Model Internal Sleuthing: Finding Lexical Identity and Inflectional Morphology in Modern Language Models. - Michael Li; Nishant Subramani (CoRR, 2025)