← Authors

Chenguang Wang

30 papers · 2013–2025 · 11 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (7) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (14) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (58) 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (12) 🐣 Hot Topic Early Bird 🧬 Topic Evolution 🀝 Dynamic Duo (11) πŸ—ƒοΈ Keyword Collector (122) ⚑ Prolific Year (7) πŸ’Ž Century Club (30) πŸ”₯ Unstoppable (7) πŸ“ˆ Trend Setter

Conferences

ACL (7) 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) zero-shot learning (4) pre-trained language model (4) transfer learning (3) relation extraction (3) semantic role labeling (3) data augmentation (2) knowledge graph completion (2) intellectual property (2) open information extraction (2) cosine similarity (2) active learning (2) instruction tuning (2) pretrained language model (2) information extraction (2) decision making (1) natural language processing (1) semantic segmentation (1) computer vision (1)

Papers

From Perceptions to Decisions: Wildfire Evacuation Decision Prediction with Behavioral Theory-informed LLMs ACL 2025
Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning ACL 2025
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
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
Measuring Social Norms of Large Language Models NAACL 2024
Measuring Vision-Language STEM Skills of Neural Models ICLR 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
CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models ICML 2023
Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study ICCV 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
Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks IJCAI 2017
CROWD-IN-THE-LOOP: A Hybrid Approach for Annotating Semantic Roles EMNLP 2017
Active Learning for Black-Box Semantic Role Labeling with Neural Factors IJCAI 2017
Constrained Information-Theoretic Tripartite Graph Clustering to Identify Semantically Similar Relations IJCAI 2015
Paraphrasing Adaptation for Web Search Ranking ACL 2013