Ryo Kamoi

Orcid: 0000-0002-8442-4171

According to our database1, Ryo Kamoi authored at least 14 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2019
2020
2021
2022
2023
2024
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Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

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

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

Evaluating LLMs at Detecting Errors in LLM Responses.
CoRR, 2024

Fair Abstractive Summarization of Diverse Perspectives.
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

WiCE: Real-World Entailment for Claims in Wikipedia.
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
Why is the Mahalanobis Distance Effective for Anomaly Detection?
CoRR, 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


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