Yongqi Fan
According to our database1,
Yongqi Fan authored at least 15 papers
between 2024 and 2026.
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Bibliography
2026
PsychēChat: An Empathic Framework Focused on Emotion Shift Tracking and Safety Risk Analysis in Psychological Counseling.
CoRR, January, 2026
CoRR, January, 2026
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
KG-o1: Enhancing Multi-hop Question Answering in Large Language Models via Knowledge Graph Integration.
CoRR, August, 2025
MSDiagnosis: A benchmark and framework for evaluating large language models in multi-step clinical diagnosis.
Knowl. Based Syst., 2025
MedEureka: A Medical Domain Benchmark for Multi-Granularity and Multi-Data-Type Embedding-Based Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025
MedOdyssey: A Medical Domain Benchmark for Long Context Evaluation Up to 200K Tokens.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025
An LLM-based Framework for Biomedical Terminology Normalization in Social Media via Multi-Agent Collaboration.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
LCDS: A Logic-Controlled Discharge Summary Generation System Supporting Source Attribution and Expert Review.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2025
CMQCIC-Bench: A Chinese Benchmark for Evaluating Large Language Models in Medical Quality Control Indicator Calculation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Text-to-ES Bench: A Comprehensive Benchmark for Converting Natural Language to Elasticsearch Query.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
MinosEval: Distinguishing Factoid and Non-Factoid for Tailored Open-Ended QA Evaluation with LLMs.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
2024
Tool Calling: Enhancing Medication Consultation via Retrieval-Augmented Large Language Models.
CoRR, 2024
RRNorm: A Novel Framework for Chinese Disease Diagnoses Normalization via LLM-Driven Terminology Component Recognition and Reconstruction.
Proceedings of the Findings of the Association for Computational Linguistics, 2024