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Abulhair Saparov
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2020 – today
- 2024
- [c10]Nitish Joshi, Javier Rando, Abulhair Saparov, Najoung Kim, He He:
Personas as a Way to Model Truthfulness in Language Models. EMNLP 2024: 6346-6359 - [c9]Nitish Joshi, Abulhair Saparov, Yixin Wang, He He:
LLMs Are Prone to Fallacies in Causal Inference. EMNLP 2024: 10553-10569 - [c8]Andreas Opedal, Alessandro Stolfo, Haruki Shirakami, Ying Jiao, Ryan Cotterell, Bernhard Schölkopf, Abulhair Saparov, Mrinmaya Sachan:
Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners? ICML 2024 - [i16]Andreas Opedal, Alessandro Stolfo, Haruki Shirakami, Ying Jiao, Ryan Cotterell, Bernhard Schölkopf, Abulhair Saparov, Mrinmaya Sachan:
Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners? CoRR abs/2401.18070 (2024) - [i15]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 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:
Foundational Challenges in Assuring Alignment and Safety of Large Language Models. CoRR abs/2404.09932 (2024) - [i14]Nitish Joshi, Abulhair Saparov, Yixin Wang, He He:
LLMs Are Prone to Fallacies in Causal Inference. CoRR abs/2406.12158 (2024) - [i13]Daking Rai, Yilun Zhou, Shi Feng, Abulhair Saparov, Ziyu Yao:
A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models. CoRR abs/2407.02646 (2024) - [i12]Andreas Opedal, Haruki Shirakami, Bernhard Schölkopf, Abulhair Saparov, Mrinmaya Sachan:
MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs. CoRR abs/2410.13502 (2024) - 2023
- [c7]Andreas Opedal, Niklas Stoehr, Abulhair Saparov, Mrinmaya Sachan:
World Models for Math Story Problems. ACL (Findings) 2023: 9088-9115 - [c6]Hongyi Zheng, Abulhair Saparov:
Noisy Exemplars Make Large Language Models More Robust: A Domain-Agnostic Behavioral Analysis. EMNLP 2023: 4560-4568 - [c5]Abulhair Saparov, He He:
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought. ICLR 2023 - [c4]Abulhair Saparov, Richard Yuanzhe Pang, Vishakh Padmakumar, Nitish Joshi, Mehran Kazemi, Najoung Kim, He He:
Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples. NeurIPS 2023 - [i11]Abulhair Saparov, Richard Yuanzhe Pang, Vishakh Padmakumar, Nitish Joshi, Seyed Mehran Kazemi, Najoung Kim, He He:
Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples. CoRR abs/2305.15269 (2023) - [i10]Andreas Opedal, Niklas Stoehr, Abulhair Saparov, Mrinmaya Sachan:
World Models for Math Story Problems. CoRR abs/2306.04347 (2023) - [i9]Vaibhav Mavi, Abulhair Saparov, Chen Zhao:
Retrieval-Augmented Chain-of-Thought in Semi-structured Domains. CoRR abs/2310.14435 (2023) - [i8]Nitish Joshi, Javier Rando, Abulhair Saparov, Najoung Kim, He He:
Personas as a Way to Model Truthfulness in Language Models. CoRR abs/2310.18168 (2023) - [i7]Hongyi Zheng, Abulhair Saparov:
Noisy Exemplars Make Large Language Models More Robust: A Domain-Agnostic Behavioral Analysis. CoRR abs/2311.00258 (2023) - 2022
- [j3]Abulhair Saparov, Tom M. Mitchell:
Towards General Natural Language Understanding with Probabilistic Worldbuilding. Trans. Assoc. Comput. Linguistics 10: 325-342 (2022) - [i6]Abulhair Saparov, He He:
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought. CoRR abs/2210.01240 (2022) - 2021
- [i5]Abulhair Saparov, Tom M. Mitchell:
A Generative Symbolic Model for More General Natural Language Understanding and Reasoning. CoRR abs/2105.02486 (2021) - 2020
- [c3]Emmanouil Antonios Platanios, Abulhair Saparov, Tom M. Mitchell:
Jelly Bean World: A Testbed for Never-Ending Learning. ICLR 2020 - [i4]Emmanouil Antonios Platanios, Abulhair Saparov, Tom M. Mitchell:
Jelly Bean World: A Testbed for Never-Ending Learning. CoRR abs/2002.06306 (2020)
2010 – 2019
- 2018
- [j2]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
Never-ending learning. Commun. ACM 61(5): 103-115 (2018) - 2017
- [c2]Abulhair Saparov, Vijay A. Saraswat, Tom M. Mitchell:
A Probabilistic Generative Grammar for Semantic Parsing. CoNLL 2017: 248-259 - 2016
- [i3]Bishan Yang, Ndapandula Nakashole
CMUML Micro-Reader System for KBP 2016 Cold Start Slot Filling, Event Nugget Detection, and Event Argument Linking. TAC 2016 - [i2]Abulhair Saparov, Tom M. Mitchell:
A Probabilistic Generative Grammar for Semantic Parsing. CoRR abs/1606.06361 (2016) - 2015
- [c1]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
Never-Ending Learning. AAAI 2015: 2302-2310 - [i1]Bryan Kisiel, Bill McDowell, Matt Gardner, Ndapandula Nakashole
CMUML System for KBP 2015 Cold Start Slot Filling. TAC 2015 - 2012
- [j1]Xiaobai Chen, Abulhair Saparov, Bill Pang, Thomas A. Funkhouser:
Schelling points on 3D surface meshes. ACM Trans. Graph. 31(4): 29:1-29:12 (2012)
Coauthor Index
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last updated on 2024-11-25 22:46 CET by the dblp team
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