Papers by Xiang Anthony Chen

1 papers
RAGPPI: Retrieval-Augmented Generation Benchmark for Protein–Protein Interactions in Drug Discovery (2026.eacl-long)

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Challenge: Large Language Models and Retrieval-Augmented Generation (RAG) frameworks have supported Target ID, but no benchmark exists for identifying biological impacts of PPIs.
Approach: They propose to build a factual question-answer benchmark of 4,420 question-announced pairs that focus on the potential biological impacts of PPIs.
Outcome: The proposed benchmark is based on 4,420 question-answer pairs with expert-driven data annotation.

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