Huimin Wang
17 papers · 2020–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (12) π Academic Marathon (5) π§ Keyword Pioneer π Conference Polyglot (6) π Renaissance Researcher (8)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(50)
π§
Keyword Pioneer
π€
Dynamic Duo
(11)
π
Keyword Champion
β
The Questioner
(2)
β‘
Prolific Year
(5)
π
Century Club
(16)
ποΈ
Keyword Collector
(94)
Conferences
ACL (5)
EMNLP (5)
COLING (3)
NAACL (2)
IJCAI (1)
NIPS (1)
Top co-authors
Keywords
large language model
(8)
contrastive learning
(3)
disease diagnosis
(3)
question answering
(2)
knowledge graph
(2)
dialogue policy
(2)
medical knowledge graph
(2)
clinical decision support
(2)
reinforcement learning
(2)
few-shot learning
(1)
natural language generation
(1)
domain adaptation
(1)
benchmark evaluation
(1)
chain-of-thought reasoning
(1)
variational inference
(1)
policy optimization
(1)
zero-shot learning
(1)
task-oriented dialogue
(1)
meme analysis
(1)
context understanding
(1)
Papers
Guaranteeing Knowledge Integration with Joint Decoding for Retrieval-Augmented Generation
ACL 2026
RareSyn: Health Record Synthesis for Rare Disease Diagnosis
EMNLP 2025
Monte Carlo Tree Search Based Prompt Autogeneration for Jailbreak Attacks against LLMs
COLING 2025
T2: An Adaptive Test-Time Scaling Strategy for Contextual Question Answering
EMNLP 2025
A Layered Debating Multi-Agent System for Similar Disease Diagnosis
NAACL 2025
Self-DC: When to Reason and When to Act? Self Divide-and-Conquer for Compositional Unknown Questions
NAACL 2025
MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models
EMNLP 2025
MedJourney: Benchmark and Evaluation of Large Language Models over Patient Clinical Journey
NIPS 2024
imapScore: Medical Fact Evaluation Made Easy
ACL 2024
JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialogue Policy Learning
COLING 2024
MKeCL: Medical Knowledge-Enhanced Contrastive Learning for Few-shot Disease Diagnosis
COLING 2024
Can LLMs Replace Clinical Doctors? Exploring Bias in Disease Diagnosis by Large Language Models
EMNLP 2024
UniTRec: A Unified Text-to-Text Transformer and Joint Contrastive Learning Framework for Text-based Recommendation
ACL 2023
CoAD: Automatic Diagnosis through Symptom and Disease Collaborative Generation
ACL 2023
A Collaborative Multi-agent Reinforcement Learning Framework for Dialog Action Decomposition
EMNLP 2021
Structured Probabilistic End-to-End Learning from Crowds
IJCAI 2020
Learning Efficient Dialogue Policy from Demonstrations through Shaping
ACL 2020