Yoshi Suhara

According to our database1, Yoshi Suhara authored at least 15 papers between 2022 and 2025.

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Bibliography

2025
Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games.
CoRR, June, 2025

Llama-Nemotron: Efficient Reasoning Models.
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CoRR, May, 2025

CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training.
CoRR, April, 2025

Efficient Hybrid Language Model Compression through Group-Aware SSM Pruning.
CoRR, April, 2025

When2Call: When (not) to Call Tools.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Hymba: A Hybrid-head Architecture for Small Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Your Large Language Models are Leaving Fingerprints.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
Large Language Models are Inconsistent and Biased Evaluators.
CoRR, 2024

Noisy Pairing and Partial Supervision for Stylized Opinion Summarization.
Proceedings of the 17th International Natural Language Generation Conference, 2024

Source Identification in Abstractive Summarization.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Characterizing the Confidence of Large Language Model-Based Automatic Evaluation Metrics.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
Effective entity matching with transformers.
VLDB J., November, 2023

2022
Noisy Pairing and Partial Supervision for Opinion Summarization.
CoRR, 2022

Beyond Opinion Mining: Summarizing Opinions of Customer Reviews.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Summarizing Community-based Question-Answer Pairs.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022


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