Abulhair Saparov
Cited by
Cited by
Never Ending Learning.
TM Mitchell, WW Cohen, ER Hruschka Jr, PP Talukdar, J Betteridge, ...
AAAI, 2302-2310, 2015
Schelling points on 3D surface meshes
X Chen, A Saparov, B Pang, T Funkhouser
ACM Transactions on Graphics (TOG) 31 (4), 29, 2012
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought
A Saparov, H He
arXiv preprint arXiv:2210.01240, 2022
Jelly Bean World: A testbed for never-ending learning
EA Platanios, A Saparov, T Mitchell
arXiv preprint arXiv:2002.06306, 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
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
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
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
A Probabilistic Generative Grammar for Semantic Parsing
A Saparov, V Saraswat, T Mitchell
Proceedings of the 21st Conference on Computational Natural Language …, 2017
A Probabilistic Generative Grammar for Semantic Parsing
A Saparov, TM Mitchell
arXiv preprint arXiv:1606.06361, 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
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, ...
Towards General Natural Language Understanding with Probabilistic Worldbuilding
A Saparov, TM Mitchell
Transactions of the Association for Computational Linguistics 10, 325-342, 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
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
Retrieval-Augmented Chain-of-Thought in Semi-structured Domains
V Mavi, A Saparov, C Zhao
arXiv preprint arXiv:2310.14435, 2023
World Models for Math Story Problems
A Opedal, N Stoehr, A Saparov, M Sachan
arXiv preprint arXiv:2306.04347, 2023
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought
A Saparov, H He
International Conference on Learning Representations, 2023
LLMs Are Prone to Fallacies in Causal Inference
N Joshi, A Saparov, Y Wang, H He
arXiv preprint arXiv:2406.12158, 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
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