Papers by Huiqun Yu

2 papers
VenusFactory: An Integrated System for Protein Engineering with Data Retrieval and Language Model Fine-Tuning (2025.acl-demo)

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Challenge: Pre-trained protein language models have been used in protein engineering, but their adoption is limited due to data collection, task benchmarking, and application challenges.
Approach: They propose a versatile engine that integrates biological data retrieval, standardized task benchmarking, and modular fine-tuning of PLMs.
Outcome: The proposed engine integrates biological data retrieval, task benchmarking, and modular fine-tuning of PLMs.
ASTRA: An Automated Framework for Strategy Discovery, Retrieval, and Evolution for Jailbreaking LLMs (2026.acl-long)

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Challenge: Existing methods lack the capability for continuous learning and self-evolution from interactions, limiting the diversity and adaptability of attack strategies.
Approach: They propose an automated framework capable of discovering, retrieving, and evolving attack strategies.
Outcome: The proposed framework outperforms existing baselines in a black-box setting.

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