Ryo Kamoi
Orcid: 0000-0002-8442-4171
According to our database1,
Ryo Kamoi
authored at least 14 papers
between 2019 and 2024.
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Bibliography
2024
GReaTer: Gradients over Reasoning Makes Smaller Language Models Strong Prompt Optimizers.
CoRR, 2024
VisOnlyQA: Large Vision Language Models Still Struggle with Visual Perception of Geometric Information.
CoRR, 2024
Direct-Inverse Prompting: Analyzing LLMs' Discriminative Capacity in Self-Improving Generation.
CoRR, 2024
When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs.
CoRR, 2024
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.
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.
CoRR, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Shortcomings of Question Answering Based Factuality Frameworks for Error Localization.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
2020
Out-of-Distribution Detection with Likelihoods Assigned by Deep Generative Models Using Multimodal Prior Distributions.
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.
CoRR, 2019