Chenguang Wang
31 papers · 2013–2026 · 11 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (61) π Academic Marathon Β· Half π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Pioneer
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Dynamic Duo
(11)
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Topic Evolution
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Renaissance Researcher
(6)
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
(143)
Venues
Top co-authors
Research topics
Artificial Intelligence
(20)
Machine Learning
(19)
Core AI
(18)
Natural Language Processing
(15)
Deep Learning
(14)
Learning Types Β· Deep Learning
(10)
Resources & Methods
(9)
Learning Types Β· Machine Learning
(8)
Application Areas
(6)
Core Methods
(6)
Applications
(5)
Learning Paradigms
(4)
Models
(4)
Knowledge & Reasoning
(3)
Generation
(3)
Keywords
large language model
(7)
language model
(6)
pre-trained language model
(5)
zero-shot learning
(4)
transfer learning
(3)
relation extraction
(3)
semantic role labeling
(3)
cosine similarity
(2)
data augmentation
(2)
open information extraction
(2)
reinforcement learning
(2)
instruction tuning
(2)
knowledge transfer
(2)
knowledge graph completion
(2)
active learning
(2)
information extraction
(2)
intellectual property
(2)
model evaluation
(2)
natural language processing
(1)
computer vision
(1)
Papers
ProActor: Timing-Aware Reinforcement Learning for Proactive Task Scheduling Agents
ACL 2026
AGENTVIGIL: Automatic Black-Box Red-teaming for Indirect Prompt Injection against LLM Agents
EMNLP 2025
COSMIC: Generalized Refusal Direction Identification in LLM Activations
ACL 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
Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning
ACL 2025
RuleR: Improving LLM Controllability by Rule-based Data Recycling
NAACL 2025
Sampling from Binary Quadratic Distributions via Stochastic Localization
ICML 2025
Agent Instructs Large Language Models to be General Zero-Shot Reasoners
ICML 2024
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
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
Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models
EMNLP 2022
IELM: An Open Information Extraction Benchmark for Pre-Trained Language Models
EMNLP 2022
Joint Language Semantic and Structure Embedding for Knowledge Graph Completion
COLING 2022
PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion
EMNLP 2022
Protecting Intellectual Property of Language Generation APIs with Lexical Watermark
AAAI 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