Papers by Hyangsuk Min

2 papers
Towards a Holistic and Automated Evaluation Framework for Multi-Level Comprehension of LLMs in Book-Length Contexts (2025.emnlp-main)

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Challenge: HAMLET is a framework for evaluating the long-context comprehension of large language models.
Approach: They propose a framework for evaluating the long-context comprehension of large language models . HAMLET structures key information of source texts into a three-level hierarchy .
Outcome: HAMLET achieves 90% agreement with expert judgments while reducing evaluation cost by up to 25.
Towards Multi-dimensional Evaluation of LLM Summarization across Domains and Languages (2025.acl-long)

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Challenge: Existing evaluation frameworks for text summarization lack domain-specific assessment criteria and are predominantly English-centric.
Approach: They propose a multi-dimensional, multi-domain evaluation of summarization in English and Chinese that incorporates specialized assessment criteria for each domain and leverages a debate system to enhance annotation quality.
Outcome: The proposed evaluation framework provides a multi-dimensional, multi-domain evaluation of summarization in English and Chinese.

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