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Hongzhan Lin

27 papers · 2021–2026 · 8 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+9 more ↓ πŸ—ΊοΈ Taxonomy Completionist (69) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🀝 Dynamic Duo (24) 🧬 Topic Evolution πŸ”¬ Deep Specialist (10) 🌈 Renaissance Researcher (7) πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner (2) ⚑ Prolific Year Β· Prolific πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (139)

Venues

ACL (9) EMNLP (7) AAAI (4) COLING (2) NAACL (2) CVPR (1) IJCNLP (1) NeurIPS (1)

Top co-authors

Jing Ma (24) Ziyang Luo (14) Wei Gao (5) Kaixin Li (4) Zhiwei Yang (4) Guang Chen (4) Mingfei Cheng (3) Zhen Ye (3) Yuxi Sun (3) Ruichao Yang (3)

Research topics

Artificial Intelligence (25) Core AI (24) Machine Learning (17) Deep Learning (15) Natural Language Processing (13) Learning Types Β· Machine Learning (10) Applications (9) Learning Types Β· Deep Learning (9) Application Areas (8) Models (7) Resources & Methods (5) Techniques (4) Healthcare & Medicine (3) Architectures (3) Clinical (3)

Keywords

large language model (10) multimodal learning (5) large multimodal model (4) code generation (4) knowledge distillation (3) multi-agent system (3) multimodal reasoning (3) rumor detection (3) benchmark evaluation (3) multimodal large language model (3) social media (3) disease diagnosis (2) fake news detection (2) hierarchical attention (2) harmful meme detection (2) adversarial learning (2) text classification (2) contrastive learning (2) model evaluation (2) natural language inference (1)

Papers

Probabilistic Concept Graph Reasoning for Multimodal Misinformation Detection CVPR 2026 REFLEX: Self-Refining Explainable Fact-Checking via Verdict-Anchored Style Control ACL 2026 AdamMeme: Adaptively Probe the Reasoning Capacity of Multimodal Large Language Models on Harmfulness ACL 2025 Codec Does Matter: Exploring the Semantic Shortcoming of Codec for Audio Language Model AAAI 2025 CodeJudge-Eval: Can Large Language Models be Good Judges in Code Understanding? COLING 2025 Explainable Ethical Assessment on Human Behaviors by Generating Conflicting Social Norms IJCNLP 2025 FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models ACL 2025 Knowledge-Augmented Multimodal Clinical Rationale Generation for Disease Diagnosis with Small Language Models ACL 2025 MemeArena: Automating Context-Aware Unbiased Evaluation of Harmfulness Understanding for Multimodal Large Language Models EMNLP 2025 Meme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal Triggers AAAI 2025 MM-CRITIC: A Holistic Evaluation of Large Multimodal Models as Multimodal Critique EMNLP 2025 ProMedTS: A Self-Supervised, Prompt-Guided Multimodal Approach for Integrating Medical Text and Time Series ACL 2025 ScratchEval: Are GPT-4o Smarter than My Child? Evaluating Large Multimodal Models with Visual Programming Challenges NAACL 2025 SHARP: Unlocking Interactive Hallucination via Stance Transfer in Role-Playing LLMs ACL 2025 Tree-of-Evolution: Tree-Structured Instruction Evolution for Code Generation in Large Language Models ACL 2025 AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation EMNLP 2024 CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models ACL 2024 Collaborative Synthesis of Patient Records through Multi-Visit Health State Inference AAAI 2024 Mixture of In-Context Experts Enhance LLMs' Long Context Awareness NeurIPS 2024 Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Models ACL 2024 Towards Low-Resource Harmful Meme Detection with LMM Agents EMNLP 2024 Beneath the Surface: Unveiling Harmful Memes with Multimodal Reasoning Distilled from Large Language Models EMNLP 2023 WSDMS: Debunk Fake News via Weakly Supervised Detection of Misinforming Sentences with Contextualized Social Wisdom 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