Chenguang Wang

31 papers · 2013–2026 · 11 conferences · across top CS/AI conferences

Achievements

+10 more ↓

🏃 Academic Marathon (12) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (11) 🐝 Cross-Pollinator (14)

🌍 Conference Polyglot (11) 🏃 Academic Marathon (12) 🐣 Hot Topic Early Bird 🧬 Topic Evolution 🤝 Dynamic Duo (11) 🗃️ Keyword Collector (122) ⚡ Prolific Year (7) 💎 Century Club (30) 🔥 Unstoppable (7) 📈 Trend Setter

Conferences

ACL (8) EMNLP (7) ICML (3) IJCAI (3) COLING (2) ICLR (2) NAACL (2) AAAI (1) CVPR (1) ICCV (1) JMLR (1)

Top co-authors

Dawn Song (11) Ming Zhang (7) Jianhao Shen (4) Xiao Liu (3) Ye Yuan (3) Lingjuan Lyu (3) Nicholas Crispino (3) Kyle Montgomery (3) Jie Tang (2) Zihao Yu (2)

Keywords

language model (6) large language model (5) pre-trained language model (4) zero-shot learning (4) transfer learning (3) relation extraction (3) semantic role labeling (3) knowledge graph completion (2) cosine similarity (2) data augmentation (2) reinforcement learning (2) pretrained language model (2) open information extraction (2) information extraction (2) active learning (2) instruction tuning (2) intellectual property (2) decision making (1) natural language processing (1) semantic segmentation (1)

Papers

ProActor: Timing-Aware Reinforcement Learning for Proactive Task Scheduling Agents ACL 2026 COSMIC: Generalized Refusal Direction Identification in LLM Activations ACL 2025 AGENTVIGIL: Automatic Black-Box Red-teaming for Indirect Prompt Injection against LLM Agents EMNLP 2025 From Perceptions to Decisions: Wildfire Evacuation Decision Prediction with Behavioral Theory-informed LLMs ACL 2025 JudgeBench: A Benchmark for Evaluating LLM-Based Judges ICLR 2025 MLAN: Language-Based Instruction Tuning Preserves and Transfers Knowledge in Multimodal Language Models ACL 2025 RuleR: Improving LLM Controllability by Rule-based Data Recycling NAACL 2025 Sampling from Binary Quadratic Distributions via Stochastic Localization ICML 2025 Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning ACL 2025 Measuring Vision-Language STEM Skills of Neural Models ICLR 2024 Measuring Social Norms of Large Language Models NAACL 2024 Re-Tuning: Overcoming the Compositionality Limits of Large Language Models with Recursive Tuning ACL 2024 Agent Instructs Large Language Models to be General Zero-Shot Reasoners ICML 2024 Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study ICCV 2023 CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models ICML 2023 Benchmarking Language Models for Code Syntax Understanding EMNLP 2022 DeepStruct: Pretraining of Language Models for Structure Prediction ACL 2022 Joint Language Semantic and Structure Embedding for Knowledge Graph Completion COLING 2022 IELM: An Open Information Extraction Benchmark for Pre-Trained Language Models EMNLP 2022 Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models EMNLP 2022 Protecting Intellectual Property of Language Generation APIs with Lexical Watermark AAAI 2022 PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion EMNLP 2022 Zero-Shot Information Extraction as a Unified Text-to-Triple Translation EMNLP 2021 GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing JMLR 2020 PoD: Positional Dependency-Based Word Embedding for Aspect Term Extraction COLING 2020 Co-Occurrent Features in Semantic Segmentation CVPR 2019 Active Learning for Black-Box Semantic Role Labeling with Neural Factors IJCAI 2017 CROWD-IN-THE-LOOP: A Hybrid Approach for Annotating Semantic Roles EMNLP 2017 Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks IJCAI 2017 Constrained Information-Theoretic Tripartite Graph Clustering to Identify Semantically Similar Relations IJCAI 2015 Paraphrasing Adaptation for Web Search Ranking ACL 2013