Ryo Kamoi

According to our database, Ryo Kamoi authored at least 20 papers between 2019 and 2026.

Collaborative distances:

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

2026

Bridging the Know-Act Gap via Task-Level Autoregressive Reasoning.

Jihyun Janice Ahn, Ryo Kamoi, Berk Atil, Renze Lou, WonWoo Kang, Heehyun Park, Sarkar Snigdha Sarathi Das, Zhuoyang Zou, Xiaoxin Lu, Yusen Zhang, Asfahan Shah, Ridwanul Hasan Tanvir, Lingxiao Zhao, Hongxi Huang, Vignesh Venkatesh, Dianjun Lin, Hamid Shah, Wentao Wang, Zhanpeng Song, Joshua Reed Bassin, Dax Patel, Ishan Appareddy Agrahar, Sahil Pardasani, Xin Dong, Fatemeh Rahbari, Benjamin David Rishel, Soochan Andrew Lee, Yuv Boghani, Ali B. AlNaseeb, Pranav Suby, Seokhyeon Bae, Shreya Buddharaju, Damien Kula, Soumyadeep Das, Hanyang Frank Liu, Faye Mo, Wenpeng Yin

CoRR, March, 2026

Evaluating LLM-Simulated Conversations in Modeling Inconsistent and Uncollaborative Behaviors in Human Social Interaction.

Ryo Kamoi, Ameya Godbole, Longqi Yang, Rui Zhang, Mengting Wan, Pei Zhou

CoRR, March, 2026

One Model, All Roles: Multi-Turn, Multi-Agent Self-Play Reinforcement Learning for Conversational Social Intelligence.

Bowen Jiang, Taiwei Shi, Ryo Kamoi, Yuan Yuan, Camillo J. Taylor, Longqi Yang, Pei Zhou, Sihao Chen

CoRR, February, 2026

2025

Training Step-Level Reasoning Verifiers with Formal Verification Tools.

Ryo Kamoi, Yusen Zhang, Nan Zhang, Sarkar Snigdha Sarathi Das, Rui Zhang

CoRR, May, 2025

AAAR-1.0: Assessing AI's Potential to Assist Research.

Renze Lou, Hanzi Xu, Sijia Wang, Jiangshu Du, Ryo Kamoi, Xiaoxin Lu, Jian Xie, Yuxuan Sun, Yusen Zhang, Jihyun Janice Ahn, Hongchao Fang, Zhuoyang Zou, Wenchao Ma, Xi Li, Kai Zhang, Congying Xia, Lifu Huang, Wenpeng Yin

Proceedings of the Forty-second International Conference on Machine Learning, 2025

GReaTer: Gradients Over Reasoning Makes Smaller Language Models Strong Prompt Optimizers.

Sarkar Snigdha Sarathi Das, Ryo Kamoi, Bo Pang, Yusen Zhang, Caiming Xiong, Rui Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

HRScene: How Far are VLMs from Effective High-Resolution Image Understanding?

Yusen Zhang, Wenliang Zheng, Aashrith Madasu, Peng Shi, Ryo Kamoi, Hao Zhou, Zhuoyang Zou, Shu Zhao, Sarkar Snigdha Sarathi Das, Vipul Gupta, Xiaoxin Lu, Nan Zhang, Ranran Haoran Zhang, Avitej Iyer, Renze Lou, Wenpeng Yin, Rui Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

When Can LLMs <i>Actually</i> Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs.

Ryo Kamoi, Yusen Zhang, Nan Zhang, Jiawei Han, Rui Zhang

Trans. Assoc. Comput. Linguistics, 2024

VisOnlyQA: Large Vision Language Models Still Struggle with Visual Perception of Geometric Information.

Ryo Kamoi, Yusen Zhang, Sarkar Snigdha Sarathi Das, Ranran Haoran Zhang, Rui Zhang

CoRR, 2024

Direct-Inverse Prompting: Analyzing LLMs' Discriminative Capacity in Self-Improving Generation.

Jihyun Janice Ahn, Ryo Kamoi, Lu Cheng, Rui Zhang, Wenpeng Yin

CoRR, 2024

When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs.

Ryo Kamoi, Yusen Zhang, Nan Zhang, Jiawei Han, Rui Zhang

CoRR, 2024

Evaluating LLMs at Detecting Errors in LLM Responses.

Ryo Kamoi, Sarkar Snigdha Sarathi Das, Renze Lou, Jihyun Janice Ahn, Yilun Zhao, Xiaoxin Lu, Nan Zhang, Yusen Zhang, Ranran Haoran Zhang, Sujeeth Reddy Vummanthala, Salika Dave, Shaobo Qin, Arman Cohan, Wenpeng Yin, Rui Zhang

CoRR, 2024

Fair Abstractive Summarization of Diverse Perspectives.

Yusen Zhang, Nan Zhang, Yixin Liu, Alexander R. Fabbri, Junru Liu, Ryo Kamoi, Xiaoxin Lu, Caiming Xiong, Jieyu Zhao, Dragomir Radev, Kathleen R. McKeown, Rui Zhang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

DocMath-Eval: Evaluating Math Reasoning Capabilities of LLMs in Understanding Financial Documents.

Yilun Zhao, Yitao Long, Hongjun Liu, Ryo Kamoi, Linyong Nan, Lyuhao Chen, Yixin Liu, Xiangru Tang, Rui Zhang, Arman Cohan

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

DocMath-Eval: Evaluating Numerical Reasoning Capabilities of LLMs in Understanding Long Documents with Tabular Data.

Yilun Zhao, Yitao Long, Hongjun Liu, Linyong Nan, Lyuhao Chen, Ryo Kamoi, Yixin Liu, Xiangru Tang, Rui Zhang, Arman Cohan

CoRR, 2023

WiCE: Real-World Entailment for Claims in Wikipedia.

Ryo Kamoi, Tanya Goyal, Juan Diego Rodriguez, Greg Durrett

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Shortcomings of Question Answering Based Factuality Frameworks for Error Localization.

Ryo Kamoi, Tanya Goyal, Greg Durrett

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2020

Why is the Mahalanobis Distance Effective for Anomaly Detection?

Ryo Kamoi, Kei Kobayashi

CoRR, 2020

Out-of-Distribution Detection with Likelihoods Assigned by Deep Generative Models Using Multimodal Prior Distributions.

Ryo Kamoi, Kei Kobayashi

Proceedings of the Workshop on Artificial Intelligence Safety, 2020

2019

Likelihood Assignment for Out-of-Distribution Inputs in Deep Generative Models is Sensitive to Prior Distribution Choice.

Ryo Kamoi, Kei Kobayashi

CoRR, 2019