| Never Ending Learning. TM Mitchell, WW Cohen, ER Hruschka Jr, PP Talukdar, J Betteridge, ... AAAI, 2302-2310, 2015 | 1293 | 2015 |
| Schelling points on 3D surface meshes X Chen, A Saparov, B Pang, T Funkhouser ACM Transactions on Graphics (TOG) 31 (4), 29, 2012 | 161 | 2012 |
| Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought A Saparov, H He arXiv preprint arXiv:2210.01240, 2022 | 136 | 2022 |
| Jelly Bean World: A testbed for never-ending learning EA Platanios, A Saparov, T Mitchell arXiv preprint arXiv:2002.06306, 2020 | 30 | 2020 |
| 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 | 26 | 2024 |
| Foundational Challenges in Assuring Alignment and Safety of Large Language Models U Anwar, A Saparov, J Rando, D Paleka, M Turpin, P Hase, ES Lubana, ... arXiv preprint arXiv:2404.09932, 2024 | 19 | 2024 |
| Personas as a Way to Model Truthfulness in Language Models N Joshi, J Rando, A Saparov, N Kim, H He arXiv preprint arXiv:2310.18168, 2023 | 9 | 2023 |
| Effects of passive dendritic tree properties on the firing dynamics of a leaky-integrate-and-fire neuron A Saparov, MA Schwemmer Mathematical biosciences 269, 61-75, 2015 | 9 | 2015 |
| A Probabilistic Generative Grammar for Semantic Parsing A Saparov, V Saraswat, T Mitchell Proceedings of the 21st Conference on Computational Natural Language …, 2017 | 7 | 2017 |
| A Probabilistic Generative Grammar for Semantic Parsing A Saparov, TM Mitchell arXiv preprint arXiv:1606.06361, 2016 | 7 | 2016 |
| CMUML system for KBP 2015 Cold Start Slot Filling B Kisiel, B McDowell, M Gardner, N Nakashole, EA Platanios, A Saparov, ... Proceedings of the Eighth Text Analysis Conference (TAC2015), 2015 | 7 | 2015 |
| CMUML Micro-Reader System for KBP 2016 Cold Start Slot Filling, Event Nugget Detection, and Event Argument Linking B Yang, N Nakashole, B Kisiel, EA Platanios, A Saparov, S Srivastava, ... | 5* | |
| Towards General Natural Language Understanding with Probabilistic Worldbuilding A Saparov, TM Mitchell Transactions of the Association for Computational Linguistics 10, 325-342, 2022 | 4 | 2022 |
| Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners? A Opedal, A Stolfo, H Shirakami, Y Jiao, R Cotterell, B Schölkopf, ... arXiv preprint arXiv:2401.18070, 2024 | 2 | 2024 |
| Noisy Exemplars Make Large Language Models More Robust: A Domain-Agnostic Behavioral Analysis H Zheng, A Saparov The 2023 Conference on Empirical Methods in Natural Language Processing, 2023 | 2 | 2023 |
| Retrieval-Augmented Chain-of-Thought in Semi-structured Domains V Mavi, A Saparov, C Zhao arXiv preprint arXiv:2310.14435, 2023 | 2 | 2023 |
| World Models for Math Story Problems A Opedal, N Stoehr, A Saparov, M Sachan arXiv preprint arXiv:2306.04347, 2023 | 2 | 2023 |
| Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought A Saparov, H He International Conference on Learning Representations, 2023 | 2* | 2023 |
| LLMs Are Prone to Fallacies in Causal Inference N Joshi, A Saparov, Y Wang, H He arXiv preprint arXiv:2406.12158, 2024 | | 2024 |
| Neuro-Symbolic Learning and Reasoning in the era of Large Language Models (NuCLeaR) A Munawar, E Barezi, P Madhyastha, A Saparov, A Gray AAAI Conference on Artificial Intelligence, 2024 | | 2024 |
Tom MitchellFounders University Professor of Machine Learning, Carnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
