| Using content and interactions for discovering communities in social networks M Sachan, D Contractor, TA Faruquie, LV Subramaniam Proceedings of the 21st international conference on World Wide Web, 331-340, 2012 | 238 | 2012 |
| Contextual parameter generation for universal neural machine translation EA Platanios, M Sachan, G Neubig, T Mitchell arXiv preprint arXiv:1808.08493, 2018 | 148 | 2018 |
| Distilling reasoning capabilities into smaller language models K Shridhar, A Stolfo, M Sachan arXiv preprint arXiv:2212.00193, 2022 | 138* | 2022 |
| Solving Electrical Networks to incorporate Supervision in Random Walks M Sachan, D Hovy, E Hovy Proceedings of the 22nd International Conference on World Wide Web, 109-110, 2013 | 111 | 2013 |
| Easy questions first? a case study on curriculum learning for question answering M Sachan, E Xing Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 108 | 2016 |
| Identifying metaphorical word use with tree kernels D Hovy, S Srivastava, SK Jauhar, M Sachan, K Goyal, L Huiying, ... Proceedings of the First Workshop on Metaphor in NLP, 2013 | 107 | 2013 |
| Self-training for jointly learning to ask and answer questions M Sachan, E Xing Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 105 | 2018 |
| Effective use of bidirectional language modeling for transfer learning in biomedical named entity recognition DS Sachan, P Xie, M Sachan, EP Xing Machine learning for healthcare conference, 383-402, 2018 | 88 | 2018 |
| Learning answer-entailing structures for machine comprehension M Sachan, K Dubey, E Xing, M Richardson Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 84 | 2015 |
| Membership inference attacks against language models via neighbourhood comparison J Mattern, F Mireshghallah, Z Jin, B Schölkopf, M Sachan, ... arXiv preprint arXiv:2305.18462, 2023 | 81 | 2023 |
| When to make exceptions: Exploring language models as accounts of human moral judgment Z Jin, S Levine, F Gonzalez Adauto, O Kamal, M Sap, M Sachan, ... Advances in neural information processing systems 35, 28458-28473, 2022 | 79 | 2022 |
| Can large language models infer causation from correlation? Z Jin, J Liu, Z Lyu, S Poff, M Sachan, R Mihalcea, M Diab, B Schölkopf arXiv preprint arXiv:2306.05836, 2023 | 63 | 2023 |
| Logical fallacy detection Z Jin, A Lalwani, T Vaidhya, X Shen, Y Ding, Z Lyu, M Sachan, ... arXiv preprint arXiv:2202.13758, 2022 | 63 | 2022 |
| Text-based rl agents with commonsense knowledge: New challenges, environments and baselines K Murugesan, M Atzeni, P Kapanipathi, P Shukla, S Kumaravel, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 9018-9027, 2021 | 60 | 2021 |
| Cladder: Assessing causal reasoning in language models Z Jin, Y Chen, F Leeb, L Gresele, O Kamal, LYU Zhiheng, K Blin, ... Thirty-seventh conference on neural information processing systems, 2023 | 52* | 2023 |
| Controlled text generation with natural language instructions W Zhou, YE Jiang, E Wilcox, R Cotterell, M Sachan International Conference on Machine Learning, 42602-42613, 2023 | 50 | 2023 |
| Autoregressive structured prediction with language models T Liu, Y Jiang, N Monath, R Cotterell, M Sachan arXiv preprint arXiv:2210.14698, 2022 | 49 | 2022 |
| Learning to solve geometry problems from natural language demonstrations in textbooks M Sachan, E Xing Proceedings of the 6th Joint Conference on Lexical and Computational …, 2017 | 48 | 2017 |
| Machine comprehension using rich semantic representations M Sachan, E Xing Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 47 | 2016 |
| Agents: An open-source framework for autonomous language agents W Zhou, YE Jiang, L Li, J Wu, T Wang, S Qiu, J Zhang, J Chen, R Wu, ... arXiv preprint arXiv:2309.07870, 2023 | 45 | 2023 |
Zhijing JinMax Planck Institute & ETH Zürich | Assistant Prof @ University of TorontoVerified email at ethz.ch
