Papers by Leo Luo

2 papers
Reaction Miner: An Integrated System for Chemical Reaction Extraction from Textual Data (2023.emnlp-demo)

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Challenge: Reaction Miner is a system designed to extract chemical reactions from raw scientific PDFs.
Approach: They propose a system that extracts chemical reactions directly from raw scientific PDFs.
Outcome: The proposed system can extract chemical reactions from raw scientific PDFs.
Mistake Notebook Learning: Batch-Clustered Failures for Training-Free Agent Adaptation (2026.findings-acl)

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Challenge: Mistake Notebook Learning (MNL) is a new memory framework for large language model agents . it allows agents to distill shared error patterns into structured "mistake notes"
Approach: They propose a new memory framework that enables agents to self-curate generalizable guidance from batch-clustered failures.
Outcome: The proposed framework achieves competitive performance compared to existing memory mechanisms.

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