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Ryo Kamoi
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2020 – today
- 2024
- [c5]Yilun Zhao, Yitao Long, Hongjun Liu, Ryo Kamoi, Linyong Nan, Lyuhao Chen, Yixin Liu, Xiangru Tang, Rui Zhang, Arman Cohan:
DocMath-Eval: Evaluating Math Reasoning Capabilities of LLMs in Understanding Financial Documents. ACL (1) 2024: 16103-16120 - [c4]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:
Fair Abstractive Summarization of Diverse Perspectives. NAACL-HLT 2024: 3404-3426 - [i9]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:
Evaluating LLMs at Detecting Errors in LLM Responses. CoRR abs/2404.03602 (2024) - [i8]Ryo Kamoi
When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs. CoRR abs/2406.01297 (2024) - [i7]Jihyun Janice Ahn, Ryo Kamoi
Direct-Inverse Prompting: Analyzing LLMs' Discriminative Capacity in Self-Improving Generation. CoRR abs/2407.11017 (2024) - 2023
- [c3]Ryo Kamoi, Tanya Goyal, Greg Durrett:
Shortcomings of Question Answering Based Factuality Frameworks for Error Localization. EACL 2023: 132-146 - [c2]Ryo Kamoi, Tanya Goyal, Juan Diego Rodriguez, Greg Durrett:
WiCE: Real-World Entailment for Claims in Wikipedia. EMNLP 2023: 7561-7583 - [i6]Ryo Kamoi
WiCE: Real-World Entailment for Claims in Wikipedia. CoRR abs/2303.01432 (2023) - [i5]Yusen Zhang, Nan Zhang, Yixin Liu, Alexander R. Fabbri, Junru Liu, Ryo Kamoi
Fair Abstractive Summarization of Diverse Perspectives. CoRR abs/2311.07884 (2023) - [i4]Yilun Zhao, Yitao Long, Hongjun Liu, Linyong Nan, Lyuhao Chen, Ryo Kamoi
DocMath-Eval: Evaluating Numerical Reasoning Capabilities of LLMs in Understanding Long Documents with Tabular Data. CoRR abs/2311.09805 (2023) - 2022
- [i3]Ryo Kamoi
Shortcomings of Question Answering Based Factuality Frameworks for Error Localization. CoRR abs/2210.06748 (2022) - 2020
- [c1]Ryo Kamoi, Kei Kobayashi:
Out-of-Distribution Detection with Likelihoods Assigned by Deep Generative Models Using Multimodal Prior Distributions. SafeAI@AAAI 2020: 113-116 - [i2]Ryo Kamoi, Kei Kobayashi:
Why is the Mahalanobis Distance Effective for Anomaly Detection? CoRR abs/2003.00402 (2020)
2010 – 2019
- 2019
- [i1]Ryo Kamoi, Kei Kobayashi:
Likelihood Assignment for Out-of-Distribution Inputs in Deep Generative Models is Sensitive to Prior Distribution Choice. CoRR abs/1911.06515 (2019)
Coauthor Index
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