Papers by Chaoqi Yang

2 papers
LLMs as Lab Engineers: A Benchmark for Analytical Method Lifecycle Management (2026.findings-acl)

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Challenge: General-purpose commercial models outperform domain-specialized ones, while RAG and reasoning significantly improve performance.
Approach: They propose a benchmark to evaluate LLMs' capabilities in analytical chemistry scenarios.
Outcome: The proposed framework outperforms existing benchmarks focused on factual knowledge and provides practical guidance for analytical chemistry challenges.
Topic-Oriented Open Relation Extraction with A Priori Seed Generation (2024.emnlp-main)

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Challenge: Existing methods for open relation extraction give sub-optimal results on specific topics.
Approach: They propose a method that leverages the built-in knowledge of large language models to maintain a dynamic seed relation dictionary for the topic.
Outcome: The proposed approach empowers better topic-oriented control over the generated relations and improves ORE performance along the five dimensions, especially on specialized and narrow topics.

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