Seungone Kim
According to our database1,
Seungone Kim
authored at least 28 papers
between 2022 and 2024.
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Bibliography
2024
CoRR, 2024
MM-Eval: A Multilingual Meta-Evaluation Benchmark for LLM-as-a-Judge and Reward Models.
CoRR, 2024
Can Language Models Evaluate Human Written Text? Case Study on Korean Student Writing for Education.
CoRR, 2024
The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models.
CoRR, 2024
Self-Explore to Avoid the Pit: Improving the Reasoning Capabilities of Language Models with Fine-grained Rewards.
CoRR, 2024
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models.
CoRR, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Self-Explore: Enhancing Mathematical Reasoning in Language Models with Fine-grained Rewards.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Multi-Task Inference: Can Large Language Models Follow Multiple Instructions at Once?
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging.
CoRR, 2023
CoRR, 2023
Proceedings of the International Conference on Machine Learning, 2023
The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. EACL 2023, 2023
2022
Mind the Gap! Injecting Commonsense Knowledge for Abstractive Dialogue Summarization.
Proceedings of the 29th International Conference on Computational Linguistics, 2022