Abulhair Saparov

40 papers A* 10B 1Journal 25Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Are Language Models Efficient Reasoners? A Perspective from Logic Programming. CoRR Andreas Opedal, Yanick Zengaffinen, Haruki Shirakami, Clemente Pasti, Mrinmaya Sachan, Abulhair Saparov, Ryan Cotterell, Bernhard Schölkopf
2025	J	`jnl`	Language Models Do Not Follow Occam's Razor: A Benchmark for Inductive and Abductive Reasoning. CoRR Yunxin Sun, Abulhair Saparov
2025	J	`jnl`	Language Models Might Not Understand You: Evaluating Theory of Mind via Story Prompting. CoRR Nathaniel Getachew, Abulhair Saparov
2025	A*	`conf`	MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs. ICLR Andreas Opedal, Haruki Shirakami, Bernhard Schölkopf, Abulhair Saparov, Mrinmaya Sachan
2025	—	`conf`	Reasoning Models Reason Well, Until They Don't. IJCNLP-AACL (long papers) Revanth Rameshkumar, Jimson Huang, Yunxin Sun, Fei Xia, Abulhair Saparov
2025	J	`jnl`	Reasoning Models Reason Well, Until They Don't. CoRR Revanth Rameshkumar, Jimson Huang, Yunxin Sun, Fei Xia, Abulhair Saparov
2025	J	`jnl`	Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective. CoRR Zhoujun Cheng, Shibo Hao, Tianyang Liu, Fan Zhou, Yutao Xie, Feng Yao, Yuexin Bian, Yonghao Zhuang, Nilabjo Dey, Yuheng Zha, Yi Gu, Kun Zhou, Yuqi Wang, Yuan Li, Richard Fan, Jianshu She, Chengqian Gao, Abulhair Saparov, Haonan Li, Taylor W. Killian, Mikhail Yurochkin, Zhengzhong Liu, Eric P. Xing, Zhiting Hu
2025	J	`jnl`	Transformers Can Learn Connectivity in Some Graphs but Not Others. CoRR Amit Roy, Abulhair Saparov
2025	A*	`conf`	Transformers Struggle to Learn to Search. ICLR Abulhair Saparov, Srushti Ajay Pawar, Shreyas Pimpalgaonkar, Nitish Joshi, Richard Yuanzhe Pang, Vishakh Padmakumar, Mehran Kazemi, Najoung Kim, He He
2024	J	`jnl`	A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models. CoRR Daking Rai, Yilun Zhou, Shi Feng, Abulhair Saparov, Ziyu Yao
2024	A*	`conf`	Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners? ICML Andreas Opedal, Alessandro Stolfo, Haruki Shirakami, Ying Jiao, Ryan Cotterell, Bernhard Schölkopf, Abulhair Saparov, Mrinmaya Sachan
2024	J	`jnl`	Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners? CoRR Andreas Opedal, Alessandro Stolfo, Haruki Shirakami, Ying Jiao, Ryan Cotterell, Bernhard Schölkopf, Abulhair Saparov, Mrinmaya Sachan
2024	J	`jnl`	Foundational Challenges in Assuring Alignment and Safety of Large Language Models. CoRR Usman Anwar, Abulhair Saparov, Javier Rando, Daniel Paleka, Miles Turpin, Peter Hase, Ekdeep Singh Lubana, Erik Jenner, Stephen Casper, Oliver Sourbut, Benjamin L. Edelman, Zhaowei Zhang, Mario Günther, Anton Korinek, José Hernández-Orallo, Lewis Hammond, Eric J. Bigelow, Alexander Pan, Lauro Langosco, Tomasz Korbak, Heidi C. Zhang, Ruiqi Zhong, Seán Ó hÉigeartaigh, Gabriel Recchia, Giulio Corsi, Alan Chan, Markus Anderljung, Lilian Edwards, Yoshua Bengio, Danqi Chen, Samuel Albanie, Tegan Maharaj, Jakob N. Foerster, Florian Tramèr, He He, Atoosa Kasirzadeh, Yejin Choi, David Krueger
2024	J	`jnl`	Foundational Challenges in Assuring Alignment and Safety of Large Language Models. Trans. Mach. Learn. Res. Usman Anwar, Abulhair Saparov, Javier Rando, Daniel Paleka, Miles Turpin, Peter Hase, Ekdeep Singh Lubana, Erik Jenner, Stephen Casper, Oliver Sourbut, Benjamin L. Edelman, Zhaowei Zhang, Mario Günther, Anton Korinek, José Hernández-Orallo, Lewis Hammond, Eric J. Bigelow, Alexander Pan, Lauro Langosco, Tomasz Korbak, Heidi Chenyu Zhang, Ruiqi Zhong, Seán Ó hÉigeartaigh, Gabriel Recchia, Giulio Corsi, Alan Chan, Markus Anderljung, Lilian Edwards, Aleksandar Petrov, Christian Schröder de Witt, Sumeet Ramesh Motwani, Yoshua Bengio, Danqi Chen, Philip Torr, Samuel Albanie, Tegan Maharaj, Jakob Nicolaus Foerster, Florian Tramèr, He He, Atoosa Kasirzadeh, Yejin Choi, David Krueger
2024	A*	`conf`	LLMs Are Prone to Fallacies in Causal Inference. EMNLP Nitish Joshi, Abulhair Saparov, Yixin Wang, He He
2024	J	`jnl`	LLMs Are Prone to Fallacies in Causal Inference. CoRR Nitish Joshi, Abulhair Saparov, Yixin Wang, He He
2024	J	`jnl`	MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs. CoRR Andreas Opedal, Haruki Shirakami, Bernhard Schölkopf, Abulhair Saparov, Mrinmaya Sachan
2024	A*	`conf`	Personas as a Way to Model Truthfulness in Language Models. EMNLP Nitish Joshi, Javier Rando, Abulhair Saparov, Najoung Kim, He He
2024	J	`jnl`	Transformers Struggle to Learn to Search. CoRR Abulhair Saparov, Srushti Pawar, Shreyas Pimpalgaonkar, Nitish Joshi, Richard Yuanzhe Pang, Vishakh Padmakumar, Seyed Mehran Kazemi, Najoung Kim, He He
2023	A*	`conf`	Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought. ICLR Abulhair Saparov, He He
2023	A*	`conf`	Noisy Exemplars Make Large Language Models More Robust: A Domain-Agnostic Behavioral Analysis. EMNLP Hongyi Zheng, Abulhair Saparov
2023	J	`jnl`	Noisy Exemplars Make Large Language Models More Robust: A Domain-Agnostic Behavioral Analysis. CoRR Hongyi Zheng, Abulhair Saparov
2023	J	`jnl`	Personas as a Way to Model Truthfulness in Language Models. CoRR Nitish Joshi, Javier Rando, Abulhair Saparov, Najoung Kim, He He
2023	J	`jnl`	Retrieval-Augmented Chain-of-Thought in Semi-structured Domains. CoRR Vaibhav Mavi, Abulhair Saparov, Chen Zhao
2023	A*	`conf`	Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples. NeurIPS Abulhair Saparov, Richard Yuanzhe Pang, Vishakh Padmakumar, Nitish Joshi, Mehran Kazemi, Najoung Kim, He He
2023	J	`jnl`	Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples. CoRR Abulhair Saparov, Richard Yuanzhe Pang, Vishakh Padmakumar, Nitish Joshi, Seyed Mehran Kazemi, Najoung Kim, He He
2023	—	`conf`	World Models for Math Story Problems. ACL (Findings) Andreas Opedal, Niklas Stoehr, Abulhair Saparov, Mrinmaya Sachan
2023	J	`jnl`	World Models for Math Story Problems. CoRR Andreas Opedal, Niklas Stoehr, Abulhair Saparov, Mrinmaya Sachan
2022	J	`jnl`	Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought. CoRR Abulhair Saparov, He He
2022	J	`jnl`	Towards General Natural Language Understanding with Probabilistic Worldbuilding. Trans. Assoc. Comput. Linguistics Abulhair Saparov, Tom M. Mitchell
2021	J	`jnl`	A Generative Symbolic Model for More General Natural Language Understanding and Reasoning. CoRR Abulhair Saparov, Tom M. Mitchell
2020	A*	`conf`	Jelly Bean World: A Testbed for Never-Ending Learning. ICLR Emmanouil Antonios Platanios, Abulhair Saparov, Tom M. Mitchell
2020	J	`jnl`	Jelly Bean World: A Testbed for Never-Ending Learning. CoRR Emmanouil Antonios Platanios, Abulhair Saparov, Tom M. Mitchell
2018	J	`jnl`	Never-ending learning. Commun. ACM Tom M. Mitchell, William W. Cohen, Estevam R. Hruschka Jr., Partha P. Talukdar, Bo Yang, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matt Gardner, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Thahir Mohamed, Ndapandula Nakashole, Emmanouil A. Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard C. Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves, Joel Welling
2017	B	`conf`	A Probabilistic Generative Grammar for Semantic Parsing. CoNLL Abulhair Saparov, Vijay A. Saraswat, Tom M. Mitchell
2016	J	`jnl`	A Probabilistic Generative Grammar for Semantic Parsing. CoRR Abulhair Saparov, Tom M. Mitchell
2016	—	`conf`	CMUML Micro-Reader System for KBP 2016 Cold Start Slot Filling, Event Nugget Detection, and Event Argument Linking. TAC Bishan Yang, Ndapandula Nakashole, Bryan Kisiel, Emmanouil A. Platanios, Abulhair Saparov, Shashank Srivastava, Derry Wijaya, Tom M. Mitchell
2015	—	`conf`	CMUML System for KBP 2015 Cold Start Slot Filling. TAC Bryan Kisiel, Bill McDowell, Matt Gardner, Ndapandula Nakashole, Emmanouil A. Platanios, Abulhair Saparov, Shashank Srivastava, Derry Wijaya, Tom M. Mitchell
2015	A*	`conf`	Never-Ending Learning. AAAI Tom M. Mitchell, William W. Cohen, Estevam R. Hruschka Jr., Partha Pratim Talukdar, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matthew Gardner, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Thahir Mohamed, Ndapandula Nakashole, Emmanouil A. Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard C. Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves, Joel Welling
2012	J	`jnl`	Schelling points on 3D surface meshes. ACM Trans. Graph. Xiaobai Chen, Abulhair Saparov, Bill Pang, Thomas A. Funkhouser