Papers by Shiwei Lyu

2 papers
ClinAlign: Scaling Healthcare Alignment from Clinician Preference (2026.findings-acl)

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Challenge: Existing methods for aligning open-ended outputs with fine-grained clinician preferences are weakly grounded in professional guidelines.
Approach: They propose a framework to align large language models' outputs with fine-grained clinician preferences . they propose 119 broadly reusable, clinically grounded principles organized by clinical dimensions .
Outcome: The proposed framework outperforms existing models on HealthBench-Hard and Deepseek-R1 and o3.
KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents (2025.findings-naacl)

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Challenge: Large Language Models (LLMs) fail to effectively guide the planning trajectories during task solving and result in planning hallucinations.
Approach: They propose a novel approach to enhance the planning capabilities of large language models by incorporating explicit action knowledge.
Outcome: The proposed approach can achieve comparable or superior performance to existing baselines on HotpotQA and ALFWorld.

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