Hongzhan Lin
27 papers · 2021–2026 · 8 conferences · across top CS/AI conferences
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ACL (9)
EMNLP (7)
AAAI (4)
COLING (2)
NAACL (2)
AACL (1)
IJCNLP (1)
NIPS (1)
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Keywords
large language model
(10)
multimodal learning
(5)
code generation
(4)
large multimodal model
(4)
social media
(3)
knowledge distillation
(3)
contrastive learning
(3)
rumor detection
(3)
benchmark evaluation
(3)
multimodal reasoning
(3)
multi-agent system
(3)
fake news detection
(2)
valence prediction
(2)
disease diagnosis
(2)
social norm
(2)
ethical assessment
(2)
language model
(2)
multimodal large language model
(2)
text classification
(2)
adversarial learning
(2)
Papers
REFLEX: Self-Refining Explainable Fact-Checking via Verdict-Anchored Style Control
ACL 2026
ProMedTS: A Self-Supervised, Prompt-Guided Multimodal Approach for Integrating Medical Text and Time Series
ACL 2025
Codec Does Matter: Exploring the Semantic Shortcoming of Codec for Audio Language Model
AAAI 2025
Explainable Ethical Assessment on Human Behaviors by Generating Conflicting Social Norms
AACL 2025
Tree-of-Evolution: Tree-Structured Instruction Evolution for Code Generation in Large Language Models
ACL 2025
FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models
ACL 2025
AdamMeme: Adaptively Probe the Reasoning Capacity of Multimodal Large Language Models on Harmfulness
ACL 2025
Knowledge-Augmented Multimodal Clinical Rationale Generation for Disease Diagnosis with Small Language Models
ACL 2025
SHARP: Unlocking Interactive Hallucination via Stance Transfer in Role-Playing LLMs
ACL 2025
CodeJudge-Eval: Can Large Language Models be Good Judges in Code Understanding?
COLING 2025
MemeArena: Automating Context-Aware Unbiased Evaluation of Harmfulness Understanding for Multimodal Large Language Models
EMNLP 2025
MM-CRITIC: A Holistic Evaluation of Large Multimodal Models as Multimodal Critique
EMNLP 2025
Explainable Ethical Assessment on Human Behaviors by Generating Conflicting Social Norms
IJCNLP 2025
ScratchEval: Are GPT-4o Smarter than My Child? Evaluating Large Multimodal Models with Visual Programming Challenges
NAACL 2025
Meme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal Triggers
AAAI 2025
Collaborative Synthesis of Patient Records through Multi-Visit Health State Inference
AAAI 2024
CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models
ACL 2024
Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Models
ACL 2024
AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation
EMNLP 2024
Towards Low-Resource Harmful Meme Detection with LMM Agents
EMNLP 2024
Mixture of In-Context Experts Enhance LLMs' Long Context Awareness
NIPS 2024
WSDMS: Debunk Fake News via Weakly Supervised Detection of Misinforming Sentences with Contextualized Social Wisdom
EMNLP 2023
Beneath the Surface: Unveiling Harmful Memes with Multimodal Reasoning Distilled from Large Language Models
EMNLP 2023
Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning
AAAI 2023
A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection
COLING 2022
Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning
NAACL 2022
Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks
EMNLP 2021