Taehun Cha

According to our database, Taehun Cha authored at least 7 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

The Weight Gram Matrix Captures Sequential Feature Linearization in Deep Networks.

Taehun Cha, Daniel Beaglehole, Adityanarayanan Radhakrishnan, Donghun Lee

CoRR, May, 2026

2025

Curse of Smoothness in Functional Neural Networks.

Taehun Cha, Donghun Lee

IEEE Signal Process. Lett., 2025

Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia.

Chandler Smith, Marwa Abdulhai, Manfred Diaz, Marko Tesic, Rakshit S. Trivedi, Alexander Sasha Vezhnevets, Lewis Hammond, Jesse Clifton, Minsuk Chang, Edgar A. Duéñez-Guzmán, John P. Agapiou, Jayd Matyas, Danny Karmon, Beining Zhang, Jim Dilkes, Akash Kundu, Hieu Minh Nguyen, Emanuel Tewolde, Jebish Purbey, Ram Mohan Rao Kadiyala, Siddhant Gupta, Aliaksei Korshuk, Buyantuev Alexander, Ilya Makarov, Gang Zhao, Rolando Fernandez, Zhihan Wang, Caroline Wang, Jiaxun Cui, Lingyun Xiao, Di Shi, Yoonchang Sung, Muhammad Arrasy Rahman, Peter Stone, Yipeng Kang, Hyeonggeun Yun, Ananya Ananya, Taehun Cha, Zhiqiang Wu, Elizaveta Tennant, Olivia Macmillan-Scott, Marta Segura, Diana Riazi, Fuyang Cui, Sriram Ganapathi, Toryn Q. Klassen, Nico Schiavone, Mogtaba Alim, Sheila A. McIlraith, Manuel Ríos, Oswaldo Peña, Carlos Rojas, Manuela Chacon-Chamorro, Rubén Manrique, Luis Felipe Giraldo, Nicanor Quijano, Yiding Wang, Yuxuan Chen, Fangwei Zhong, Mengmeng Wang, Wenming Tu, Zhaowei Zhang, Ziang Chen, Zixia Jia, Xue Feng, Zilong Zheng, Chichen Lin, Weijian Fan, Chenao Liu, Sneheel Sarangi, Ziyan Wang, Shuqing Shi, Yali Du, Avinaash Anand Kulandaivel, Yang Liu, Ruiyang Wu, Chetan Talele, Sunjia Lu, Gema Parreno, Shamika Dhuri, Bain McHale, Tim Baarslag, Dylan Hadfield-Menell, Natasha Jaques, José Hernández-Orallo, Joel Z. Leibo

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

ABC3: Active Bayesian Causal Inference with Cohn Criteria in Randomized Experiments.

Taehun Cha, Donghun Lee

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Pre-trained Language Models Return Distinguishable Probability Distributions to Unfaithfully Hallucinated Texts.

Taehun Cha, Donghun Lee

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

SentenceLDA: Discriminative and Robust Document Representation with Sentence Level Topic Model.

Taehun Cha, Donghun Lee

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2022

Noun-MWP: Math Word Problems Meet Noun Answers.

Taehun Cha, Jaeheun Jung, Donghun Lee

Proceedings of the 29th International Conference on Computational Linguistics, 2022