| Diverse beam search: Decoding diverse solutions from neural sequence models AK Vijayakumar, M Cogswell, RR Selvaraju, Q Sun, S Lee, D Crandall, ... arXiv preprint arXiv:1610.02424, 2016 | 606* | 2016 |
| Neural-guided deductive search for real-time program synthesis from examples A Kalyan, A Mohta, O Polozov, D Batra, P Jain, S Gulwani arXiv preprint arXiv:1804.01186, 2018 | 160 | 2018 |
| Learn to explain: Multimodal reasoning via thought chains for science question answering P Lu, S Mishra, T Xia, L Qiu, KW Chang, SC Zhu, O Tafjord, P Clark, ... Advances in Neural Information Processing Systems 35, 2507-2521, 2022 | 85 | 2022 |
| We are humor beings: Understanding and predicting visual humor A Chandrasekaran, AK Vijayakumar, S Antol, M Bansal, D Batra, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 59 | 2016 |
| Toxicity in chatgpt: Analyzing persona-assigned language models A Deshpande, V Murahari, T Rajpurohit, A Kalyan, K Narasimhan arXiv preprint arXiv:2304.05335, 2023 | 36 | 2023 |
| Dynamic prompt learning via policy gradient for semi-structured mathematical reasoning P Lu, L Qiu, KW Chang, YN Wu, SC Zhu, T Rajpurohit, P Clark, A Kalyan arXiv preprint arXiv:2209.14610, 2022 | 35 | 2022 |
| Numglue: A suite of fundamental yet challenging mathematical reasoning tasks S Mishra, A Mitra, N Varshney, B Sachdeva, P Clark, C Baral, A Kalyan arXiv preprint arXiv:2204.05660, 2022 | 31 | 2022 |
| Sound-word2vec: Learning word representations grounded in sounds AK Vijayakumar, R Vedantam, D Parikh arXiv preprint arXiv:1703.01720, 2017 | 28 | 2017 |
| Lila: A unified benchmark for mathematical reasoning S Mishra, M Finlayson, P Lu, L Tang, S Welleck, C Baral, T Rajpurohit, ... arXiv preprint arXiv:2210.17517, 2022 | 26 | 2022 |
| Programming puzzles T Schuster, A Kalyan, O Polozov, AT Kalai arXiv preprint arXiv:2106.05784, 2021 | 18 | 2021 |
| Proknow: Process knowledge for safety constrained and explainable question generation for mental health diagnostic assistance K Roy, M Gaur, M Soltani, V Rawte, A Kalyan, A Sheth Frontiers in big Data 5, 1056728, 2023 | 11 | 2023 |
| RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs AF Akyürek, E Akyürek, A Madaan, A Kalyan, P Clark, D Wijaya, ... arXiv preprint arXiv:2305.08844, 2023 | 9 | 2023 |
| How much coffee was consumed during EMNLP 2019? fermi problems: A new reasoning challenge for AI A Kalyan, A Kumar, A Chandrasekaran, A Sabharwal, P Clark arXiv preprint arXiv:2110.14207, 2021 | 5 | 2021 |
| Learn from your neighbor: Learning multi-modal mappings from sparse annotations A Kalyan, S Lee, A Kannan, D Batra International Conference on Machine Learning, 2449-2458, 2018 | 5 | 2018 |
| Model-Advantage Optimization for Model-Based Reinforcement Learning N Modhe, H Kamath, D Batra, A Kalyan CoRR abs/2106.14080, 2021 | 4 | 2021 |
| Estimating multiple physical parameters from speech data SB Kalluri, A Vijayakumar, D Vijayasenan, R Singh 2016 IEEE 26th International Workshop on Machine Learning for Signal …, 2016 | 4 | 2016 |
| Trainable decoding of sets of sequences for neural sequence models A Kalyan, P Anderson, S Lee, D Batra International Conference on Machine Learning, 3211-3221, 2019 | 3 | 2019 |
| Predicting $ Gamaka $ s—The Essential Embellishments in Karnatic Music MR Rajan, D Vijayasenan, A Vijayakumar IEEE Access 7, 175386-175395, 2019 | 2 | 2019 |
| Estimation of a violin source/filter model JW Beauchamp, AK Vijayakumar Journal of the Acoustical Society of America 137 (4_Supplement), 2405-2405, 2015 | 2 | 2015 |
| Anthropomorphization of AI: Opportunities and Risks A Deshpande, T Rajpurohit, K Narasimhan, A Kalyan arXiv preprint arXiv:2305.14784, 2023 | 1 | 2023 |
