Abulhair Saparov

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 22

Top Topics

Natural Language Understanding

Causal Inference

Semantic Parser

Top Venues

Publications

Daking Rai, Yilun Zhou, Shi Feng, Abulhair Saparov, Ziyu Yao
A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models. CoRR (2024)
Nitish Joshi, Abulhair Saparov, Yixin Wang, He He
LLMs Are Prone to Fallacies in Causal Inference. CoRR (2024)
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 (2024)
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 (2024)
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 (2023)
Abulhair Saparov, He He
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought. ICLR (2023)
Andreas Opedal, Niklas Stoehr, Abulhair Saparov, Mrinmaya Sachan
World Models for Math Story Problems. CoRR (2023)
Nitish Joshi, Javier Rando, Abulhair Saparov, Najoung Kim, He He
Personas as a Way to Model Truthfulness in Language Models. CoRR (2023)
Hongyi Zheng, Abulhair Saparov
Noisy Exemplars Make Large Language Models More Robust: A Domain-Agnostic Behavioral Analysis. EMNLP (2023)
Andreas Opedal, Niklas Stoehr, Abulhair Saparov, Mrinmaya Sachan
World Models for Math Story Problems. ACL (Findings) (2023)
Hongyi Zheng, Abulhair Saparov
Noisy Exemplars Make Large Language Models More Robust: A Domain-Agnostic Behavioral Analysis. CoRR (2023)
Vaibhav Mavi, Abulhair Saparov, Chen Zhao
Retrieval-Augmented Chain-of-Thought in Semi-structured Domains. CoRR (2023)
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)
Abulhair Saparov, He He
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought. CoRR (2022)
Abulhair Saparov, Tom M. Mitchell
Towards General Natural Language Understanding with Probabilistic Worldbuilding. Trans. Assoc. Comput. Linguistics 10 (2022)
Abulhair Saparov, Tom M. Mitchell
A Generative Symbolic Model for More General Natural Language Understanding and Reasoning. CoRR (2021)
Emmanouil Antonios Platanios, Abulhair Saparov, Tom M. Mitchell
Jelly Bean World: A Testbed for Never-Ending Learning. CoRR (2020)
Emmanouil Antonios Platanios, Abulhair Saparov, Tom M. Mitchell
Jelly Bean World: A Testbed for Never-Ending Learning. ICLR (2020)
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
Never-ending learning. Commun. ACM 61 (5) (2018)
Abulhair Saparov, Vijay A. Saraswat, Tom M. Mitchell
A Probabilistic Generative Grammar for Semantic Parsing. CoNLL (2017)
Abulhair Saparov, Tom M. Mitchell
A Probabilistic Generative Grammar for Semantic Parsing. CoRR (2016)
Bishan Yang, Ndapandula Nakashole, Bryan Kisiel, Emmanouil A. Platanios, Abulhair Saparov, Shashank Srivastava, Derry Wijaya, Tom M. Mitchell
CMUML Micro-Reader System for KBP 2016 Cold Start Slot Filling, Event Nugget Detection, and Event Argument Linking. TAC (2016)
Bryan Kisiel, Bill McDowell, Matt Gardner, Ndapandula Nakashole, Emmanouil A. Platanios, Abulhair Saparov, Shashank Srivastava, Derry Wijaya, Tom M. Mitchell
CMUML System for KBP 2015 Cold Start Slot Filling. TAC (2015)
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
Never-Ending Learning. AAAI (2015)
Xiaobai Chen, Abulhair Saparov, Bill Pang, Thomas A. Funkhouser
Schelling points on 3D surface meshes. ACM Trans. Graph. 31 (4) (2012)