Zhen Tan

36 papers · 2019–2026 · 10 conferences · across top CS/AI conferences

Achievements

+8 more ↓

🐝 Cross-Pollinator (12) 🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (10) 🌈 Renaissance Researcher (10)

🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (10) 🤝 Dynamic Duo (14) ⚡ Prolific Year (7) 🚀 Conference Pioneer 💎 Century Club (32) 🗃️ Keyword Collector (163)

Conferences

EMNLP (12) AAAI (10) COLING (4) ACL (3) ICML (2) CONLL (1) EACL (1) ECCV (1) ICLR (1) IJCAI (1)

Top co-authors

Tianlong Chen (16) Huan Liu (12) Song Wang (11) Xiang Zhao (11) Jundong Li (10) Weidong Xiao (7) Dawei Li (5) Yanli Hu (4) Peixin Huang (4) Zihan Chen (4)

Research topics

Reinforcement Learning (1)

Keywords

large language model (13) knowledge distillation (5) graph neural network (4) knowledge graph (4) reinforcement learning (3) event extraction (3) question answering (3) retrieval-augmented generation (3) pretrained language model (2) concept bottleneck model (2) error correction (2) bidirectional attention (2) text classification (2) commonsense reasoning (2) adversarial attack (2) named entity recognition (2) information retrieval (2) information extraction (2) contrastive learning (2) relation extraction (2)

Papers

Multi-granularity Temporal Knowledge Editing over Large Language Models AAAI 2026 OR-R1: Automating Modeling and Solving of Operations Research Optimization Problem via Test-Time Reinforcement Learning AAAI 2026 Model Editing as a Double-Edged Sword: Steering Agent Behavior Toward Beneficence or Harm AAAI 2026 Iterative Multi-Granular RAG with Contextual Hierarchical Graph AAAI 2026 CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models ICLR 2025 MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning ICML 2025 Editable Concept Bottleneck Models ICML 2025 SCALE: Towards Collaborative Content Analysis in Social Science with Large Language Model Agents and Human Intervention ACL 2025 Agents Under Siege: Breaking Pragmatic Multi-Agent LLM Systems with Optimized Prompt Attacks ACL 2025 Cross-modal Multi-task Learning for Multimedia Event Extraction AAAI 2025 Dynamic-prototype Contrastive Fine-tuning for Continual Few-shot Relation Extraction with Unseen Relation Detection COLING 2025 Semantic and Sentiment Dual-Enhanced Generative Model for Script Event Prediction COLING 2025 BrainMAP: Learning Multiple Activation Pathways in Brain Networks AAAI 2025 Logic Induced High-Order Reasoning Network for Event-Event Relation Extraction AAAI 2025 Interpreting Pretrained Language Models via Concept Bottlenecks (Extended Abstract) IJCAI 2025 Tuning-Free Accountable Intervention for LLM Deployment – a Metacognitive Approach AAAI 2025 In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents ACL 2025 EQA-RM: A Generative Embodied Reward Model with Test-time Scaling EMNLP 2025 From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge EMNLP 2025 Bit-Flip Error Resilience in LLMs: A Comprehensive Analysis and Defense Framework EMNLP 2025 Learning from Diverse Reasoning Paths with Routing and Collaboration EMNLP 2025 AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction EMNLP 2025 Separate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation EMNLP 2025 Task-Aware Resolution Optimization for Visual Large Language Models EMNLP 2025 Large Language Models for Data Annotation and Synthesis: A Survey EMNLP 2024 Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention AAAI 2024 Distill, Fuse, Pre-train: Towards Effective Event Causality Identification with Commonsense-Aware Pre-trained Model COLING 2024 Contextualization Distillation from Large Language Model for Knowledge Graph Completion EACL 2024 Facial Affective Behavior Analysis with Instruction Tuning ECCV 2024 Glue pizza and eat rocks - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models EMNLP 2024 DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer’s Disease Questions with Scientific Literature EMNLP 2024 Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance EMNLP 2023 Relation-aware Bidirectional Path Reasoning for Commonsense Question Answering EMNLP 2021 Relation-aware Bidirectional Path Reasoning for Commonsense Question Answering CONLL 2021 Joint Event Extraction with Hierarchical Policy Network COLING 2020 Jointly Extracting Multiple Triplets with Multilayer Translation Constraints AAAI 2019