| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 744 | 2022 |
| BBQ: A hand-built bias benchmark for question answering A Parrish, A Chen, N Nangia, V Padmakumar, J Phang, J Thompson, ... arXiv preprint arXiv:2110.08193, 2021 | 126 | 2021 |
| QuALITY: Question answering with long input texts, yes! RY Pang, A Parrish, N Joshi, N Nangia, J Phang, A Chen, V Padmakumar, ... arXiv preprint arXiv:2112.08608, 2021 | 63 | 2021 |
| A comparison of methods in political science text classification: Transfer learning language models for politics Z Terechshenko, F Linder, V Padmakumar, M Liu, J Nagler, JA Tucker, ... Available at SSRN 3724644, 2020 | 44 | 2020 |
| Help me write a poem: Instruction tuning as a vehicle for collaborative poetry writing T Chakrabarty, V Padmakumar, H He arXiv preprint arXiv:2210.13669, 2022 | 40 | 2022 |
| Unsupervised extractive summarization using pointwise mutual information V Padmakumar, H He arXiv preprint arXiv:2102.06272, 2021 | 36 | 2021 |
| Testing the general deductive reasoning capacity of large language models using ood examples A Saparov, RY Pang, V Padmakumar, N Joshi, M Kazemi, N Kim, H He Advances in Neural Information Processing Systems 36, 2024 | 21 | 2024 |
| Does Writing with Language Models Reduce Content Diversity? V Padmakumar, H He arXiv preprint arXiv:2309.05196, 2023 | 19 | 2023 |
| Exploring the role of task transferability in large-scale multi-task learning V Padmakumar, L Lausen, M Ballesteros, S Zha, H He, G Karypis arXiv preprint arXiv:2204.11117, 2022 | 16 | 2022 |
| Machine-in-the-loop rewriting for creative image captioning V Padmakumar, H He arXiv preprint arXiv:2111.04193, 2021 | 14 | 2021 |
| Two failures of self-consistency in the multi-step reasoning of llms A Chen, J Phang, A Parrish, V Padmakumar, C Zhao, SR Bowman, K Cho arXiv preprint arXiv:2305.14279, 2023 | 10 | 2023 |
| Extrapolative controlled sequence generation via iterative refinement V Padmakumar, RY Pang, H He, AP Parikh International Conference on Machine Learning, 26792-26808, 2023 | 7 | 2023 |
| Reward gaming in conditional text generation RY Pang, V Padmakumar, T Sellam, AP Parikh, H He arXiv preprint arXiv:2211.08714, 2022 | 7 | 2022 |
| Creativity support in the age of large language models: An empirical study involving emerging writers T Chakrabarty, V Padmakumar, F Brahman, S Muresan arXiv preprint arXiv:2309.12570, 2023 | 6 | 2023 |
| Debate helps supervise unreliable experts J Michael, S Mahdi, D Rein, J Petty, J Dirani, V Padmakumar, ... arXiv preprint arXiv:2311.08702, 2023 | 5 | 2023 |
| Two-Turn Debate Doesn't Help Humans Answer Hard Reading Comprehension Questions A Parrish, H Trivedi, N Nangia, V Padmakumar, J Phang, AS Saimbhi, ... arXiv preprint arXiv:2210.10860, 2022 | 4 | 2022 |
| Investigating the representation of open domain dialogue context for transformer models V Padmakumar, B Hedayatnia, D Jin, PL Lange, S Kim, N Peng, Y Liu, ... Proceedings of the 24th Annual Meeting of the Special Interest Group on …, 2023 | 2 | 2023 |
| A robust approach to open vocabulary image retrieval with deep convolutional neural networks and transfer learning V Padmakumar, R Ranga, S Elluru, S Kamath 2018 Pacific Neighborhood Consortium Annual Conference and Joint Meetings …, 2018 | 2 | 2018 |
| Extract, Select and Rewrite: A Modular Sentence Summarization Method S Guan, V Padmakumar Proceedings of the 4th New Frontiers in Summarization Workshop, 41-48, 2023 | 1 | 2023 |
| Creative Natural Language Generation T Chakrabarty, V Padmakumar, H He, N Peng Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | | 2023 |
He HeNew York UniversityVerified email at cs.nyu.edu
