← Authors

Muhao Chen

122 papers · 2017–2025 · 13 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (13) 🐝 Cross-Pollinator (15) πŸƒ Academic Marathon (8) πŸ—ΊοΈ Taxonomy Completionist (147) 🌈 Renaissance Researcher (11) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (3) 🏠 Conference Loyalist (24) 🀝 Dynamic Duo (28) πŸ‘₯ Mega-Team (21) πŸ”¬ Deep Specialist (16) 🧬 Topic Evolution πŸ† Keyword Champion (2) ❓ The Questioner (15) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (458) πŸ”₯ Unstoppable (9) ⚑ Prolific Year (8) πŸ’Ž Century Club (122) πŸš€ Conference Pioneer

Conferences

EMNLP (41) NAACL (24) ACL (20) IJCNLP (8) ICLR (7) IJCAI (5) AAAI (4) EACL (4) AACL (3) CONLL (3) CVPR (1) ECCV (1) NIPS (1)

Top co-authors

Fei Wang (28) Wenxuan Zhou (27) Dan Roth (16) Chaowei Xiao (14) Hongming Zhang (13) Kai-Wei Chang (12) Qin Liu (10) Yiwei Wang (9) Ben Zhou (8) Nan Xu (8)

Research topics

Privacy (2) Applications (1) Reasoning (1)

Keywords

large language model (29) relation extraction (11) language model (10) entity alignment (7) text classification (7) knowledge graph embedding (7) knowledge graph (7) transfer learning (6) contrastive learning (6) indirect supervision (5) representation learning (5) pretrained language model (4) text generation (4) event extraction (4) reinforcement learning (4) adversarial learning (4) bias mitigation (4) backdoor attack (4) information extraction (4) graph neural network (4)

Papers

SudoLM: Learning Access Control of Parametric Knowledge with Authorization Alignment ACL 2025
R2D2: Remembering, Replaying and Dynamic Decision Making with a Reflective Agentic Memory ACL 2025
ThinkGuard: Deliberative Slow Thinking Leads to Cautious Guardrails ACL 2025
MetaScientist: A Human-AI Synergistic Framework for Automated Mechanical Metamaterial Design NAACL 2025
From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning NAACL 2025
Teaching Language Models To Gather Information Proactively EMNLP 2025
SleeperMark: Towards Robust Watermark against Fine-Tuning Text-to-image Diffusion Models CVPR 2025
Making Every Step Effective: Jailbreaking Large Vision-Language Models Through Hierarchical KV Equalization EMNLP 2025
Vulnerability of Large Language Models to Output Prefix Jailbreaks: Impact of Positions on Safety NAACL 2025
Code Execution as Grounded Supervision for LLM Reasoning EMNLP 2025
Active Layer-Contrastive Decoding Reduces Hallucination in Large Language Model Generation EMNLP 2025
Familiarity-Aware Evidence Compression for Retrieval-Augmented Generation EMNLP 2025
Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations NAACL 2025
Assessing LLMs for Zero-shot Abstractive Summarization Through the Lens of Relevance Paraphrasing NAACL 2025
MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding ICLR 2025
Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset ICLR 2025
BadJudge: Backdoor Vulnerabilities of LLM-As-A-Judge ICLR 2025
AGrail: A Lifelong Agent Guardrail with Effective and Adaptive Safety Detection ACL 2025
QA‐LIGN: Aligning LLMs through Constitutionally Decomposed QA EMNLP 2025
Instructional Fingerprinting of Large Language Models NAACL 2024
On-the-fly Denoising for Data Augmentation in Natural Language Understanding EACL 2024
AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting ECCV 2024
From Shortcuts to Triggers: Backdoor Defense with Denoised PoE NAACL 2024
Rethinking Tabular Data Understanding with Large Language Models NAACL 2024
UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition ICLR 2024
AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models ICLR 2024
Securing Multi-turn Conversational Language Models From Distributed Backdoor Attacks EMNLP 2024
Monotonic Paraphrasing Improves Generalization of Language Model Prompting EMNLP 2024
Enhancing LLM Capabilities Beyond Scaling Up EMNLP 2024
Are Large Language Models Capable of Generating Human-Level Narratives? EMNLP 2024
Red Teaming Language Models for Processing Contradictory Dialogues EMNLP 2024
mDPO: Conditional Preference Optimization for Multimodal Large Language Models EMNLP 2024
Getting Sick After Seeing a Doctor? Diagnosing and Mitigating Knowledge Conflicts in Event Temporal Reasoning NAACL 2024
BackdoorAlign: Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment NIPS 2024
Cognitive Overload: Jailbreaking Large Language Models with Overloaded Logical Thinking NAACL 2024
Planning and Editing What You Retrieve for Enhanced Tool Learning NAACL 2024
RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models ACL 2024
X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in Classification ACL 2024
Contrastive Instruction Tuning ACL 2024
Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models NAACL 2024
How Trustworthy are Open-Source LLMs? An Assessment under Malicious Demonstrations Shows their Vulnerabilities NAACL 2024
Combating Security and Privacy Issues in the Era of Large Language Models NAACL 2024
Two Heads are Better than One: Nested PoE for Robust Defense Against Multi-Backdoors NAACL 2024
Deceptive Semantic Shortcuts on Reasoning Chains: How Far Can Models Go without Hallucination? NAACL 2024
Affective and Dynamic Beam Search for Story Generation EMNLP 2023
Self-Augmentation Improves Zero-Shot Cross-Lingual Transfer AACL 2023
Can NLI Provide Proper Indirect Supervision for Low-resource Biomedical Relation Extraction? ACL 2023
Continual Contrastive Finetuning Improves Low-Resource Relation Extraction ACL 2023
Improving Factuality of Abstractive Summarization without Sacrificing Summary Quality ACL 2023
Contrastive Bootstrapping for Label Refinement ACL 2023
Indirectly Supervised Natural Language Processing ACL 2023
Robust Natural Language Understanding with Residual Attention Debiasing ACL 2023
Take a Break in the Middle: Investigating Subgoals towards Hierarchical Script Generation ACL 2023
Multi-hop Evidence Retrieval for Cross-document Relation Extraction ACL 2023
How Fragile is Relation Extraction under Entity Replacements? CONLL 2023
Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction EACL 2023
Parameter-Efficient Tuning with Special Token Adaptation EACL 2023
Primacy Effect of ChatGPT EMNLP 2023
Are All Steps Equally Important? Benchmarking Essentiality Detection in Event Processes EMNLP 2023
GeoLM: Empowering Language Models for Geospatially Grounded Language Understanding EMNLP 2023
Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations EMNLP 2023
VIPHY: Probing β€œVisible” Physical Commonsense Knowledge EMNLP 2023
Context-faithful Prompting for Large Language Models EMNLP 2023
Dense Retrieval as Indirect Supervision for Large-space Decision Making EMNLP 2023
A Causal View of Entity Bias in (Large) Language Models EMNLP 2023
How Fragile is Relation Extraction under Entity Replacements? EMNLP 2023
PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales ICLR 2023
Self-Augmentation Improves Zero-Shot Cross-Lingual Transfer IJCNLP 2023
Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning NAACL 2022
Answer Consolidation: Formulation and Benchmarking NAACL 2022
Sharpness-Aware Minimization with Dynamic Reweighting EMNLP 2022
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis NAACL 2022
Unified Semantic Typing with Meaningful Label Inference NAACL 2022
Salience Allocation as Guidance for Abstractive Summarization EMNLP 2022
SpaBERT: A Pretrained Language Model from Geographic Data for Geo-Entity Representation EMNLP 2022
Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing EMNLP 2022
PInKS: Preconditioned Commonsense Inference with Minimal Supervision IJCNLP 2022
An Improved Baseline for Sentence-level Relation Extraction IJCNLP 2022
Contextualized Scene Imagination for Generative Commonsense Reasoning ICLR 2022
Summarization as Indirect Supervision for Relation Extraction EMNLP 2022
PaCo: Preconditions Attributed to Commonsense Knowledge EMNLP 2022
PInKS: Preconditioned Commonsense Inference with Minimal Supervision AACL 2022
An Improved Baseline for Sentence-level Relation Extraction AACL 2022
Prix-LM: Pretraining for Multilingual Knowledge Base Construction ACL 2022
GraphCache: Message Passing as Caching for Sentence-Level Relation Extraction NAACL 2022
Dangling-Aware Entity Alignment with Mixed High-Order Proximities NAACL 2022
New Frontiers of Information Extraction NAACL 2022
Learning from Noisy Labels for Entity-Centric Information Extraction EMNLP 2021
HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning EMNLP 2021
Table-based Fact Verification With Salience-aware Learning EMNLP 2021
Learning Constraints and Descriptive Segmentation for Subevent Detection EMNLP 2021
Salience-Aware Event Chain Modeling for Narrative Understanding EMNLP 2021
Contrastive Out-of-Distribution Detection for Pretrained Transformers EMNLP 2021
SPADE: A Semi-supervised Probabilistic Approach for Detecting Errors in Tables IJCAI 2021
Knowing the No-match: Entity Alignment with Dangling Cases IJCNLP 2021
Event-Centric Natural Language Processing IJCNLP 2021
Do Language Models Perform Generalizable Commonsense Inference? IJCNLP 2021
Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning NAACL 2021
Cross-lingual Entity Alignment with Incidental Supervision EACL 2021
Do Language Models Perform Generalizable Commonsense Inference? ACL 2021
Event-Centric Natural Language Processing ACL 2021
Knowing the No-match: Entity Alignment with Dangling Cases ACL 2021
Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks AAAI 2021
Visual Pivoting for (Unsupervised) Entity Alignment AAAI 2021
Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer EMNLP 2020
What Are You Trying to Do? Semantic Typing of Event Processes EMNLP 2020
Knowledge Graph Alignment Network with Gated Multi-Hop Neighborhood Aggregation AAAI 2020
Knowledge Association with Hyperbolic Knowledge Graph Embeddings EMNLP 2020
What Are You Trying to Do? Semantic Typing of Event Processes CONLL 2020
Joint Constrained Learning for Event-Event Relation Extraction EMNLP 2020
Analogous Process Structure Induction for Sub-event Sequence Prediction EMNLP 2020
Retrofitting Contextualized Word Embeddings with Paraphrases IJCNLP 2019
Multi-view Knowledge Graph Embedding for Entity Alignment IJCAI 2019
Examining Gender Bias in Languages with Grammatical Gender EMNLP 2019
Retrofitting Contextualized Word Embeddings with Paraphrases EMNLP 2019
Learning to Represent Bilingual Dictionaries CONLL 2019
Embedding Uncertain Knowledge Graphs AAAI 2019
Learning Bilingual Word Embeddings Using Lexical Definitions ACL 2019
Examining Gender Bias in Languages with Grammatical Gender IJCNLP 2019
Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment IJCAI 2018
Learning Multi-faceted Knowledge Graph Embeddings for Natural Language Processing IJCAI 2017
Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment IJCAI 2017