Muhao Chen
125 papers · 2017–2026 · 13 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (13) π£ Hot Topic Early Bird π§ Keyword Pioneer π Interdisciplinary Bridge π Academic Marathon (8)
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Interdisciplinary Bridge
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Keyword Pioneer
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Hot Topic Early Bird
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Keyword Trendsetter Combo
(3)
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Conference Loyalist
(24)
π€
Dynamic Duo
(28)
π₯
Mega-Team
(21)
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Deep Specialist
(16)
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Topic Evolution
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Keyword Champion
(2)
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The Questioner
(15)
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Trend Setter
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Keyword Collector
(458)
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Unstoppable
(9)
β‘
Prolific Year
(8)
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Century Club
(122)
π
Conference Pioneer
Conferences
EMNLP (41)
NAACL (24)
ACL (23)
IJCNLP (8)
ICLR (7)
IJCAI (5)
AAAI (4)
EACL (4)
AACL (3)
CONLL (3)
CVPR (1)
ECCV (1)
NIPS (1)
Top co-authors
Research topics
Keywords
large language model
(31)
relation extraction
(11)
language model
(11)
entity alignment
(7)
text classification
(7)
knowledge graph embedding
(7)
knowledge graph
(7)
transfer learning
(6)
contrastive learning
(6)
representation learning
(5)
indirect supervision
(5)
event extraction
(4)
text generation
(4)
pretrained language model
(4)
reinforcement learning
(4)
adversarial learning
(4)
backdoor attack
(4)
information extraction
(4)
adversarial attack
(4)
bias mitigation
(4)
Papers
GTA: Generating Long-horizon Tasks for Web Agents at Scale
ACL 2026
Taming Extreme Tokens: Covariance-Aware GRPO with Gaussian-Kernel Advantage Reweighting
ACL 2026
RedCoder: Automated Multi-Turn Red Teaming for Code LLMs
ACL 2026
Vulnerability of Large Language Models to Output Prefix Jailbreaks: Impact of Positions on Safety
NAACL 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
SleeperMark: Towards Robust Watermark against Fine-Tuning Text-to-image Diffusion Models
CVPR 2025
Code Execution as Grounded Supervision for LLM Reasoning
EMNLP 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
Active Layer-Contrastive Decoding Reduces Hallucination in Large Language Model Generation
EMNLP 2025
Familiarity-Aware Evidence Compression for Retrieval-Augmented Generation
EMNLP 2025
Teaching Language Models To Gather Information Proactively
EMNLP 2025
Making Every Step Effective: Jailbreaking Large Vision-Language Models Through Hierarchical KV Equalization
EMNLP 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
SudoLM: Learning Access Control of Parametric Knowledge with Authorization Alignment
ACL 2025
QAβLIGN: Aligning LLMs through Constitutionally Decomposed QA
EMNLP 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
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
BackdoorAlign: Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment
NIPS 2024
RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models
ACL 2024
mDPO: Conditional Preference Optimization for Multimodal Large Language Models
EMNLP 2024
Red Teaming Language Models for Processing Contradictory Dialogues
EMNLP 2024
Are Large Language Models Capable of Generating Human-Level Narratives?
EMNLP 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
Combating Security and Privacy Issues in the Era of Large Language Models
NAACL 2024
Deceptive Semantic Shortcuts on Reasoning Chains: How Far Can Models Go without Hallucination?
NAACL 2024
Getting Sick After Seeing a Doctor? Diagnosing and Mitigating Knowledge Conflicts in Event Temporal Reasoning
NAACL 2024
Instructional Fingerprinting of Large Language Models
NAACL 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
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
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
Two Heads are Better than One: Nested PoE for Robust Defense Against Multi-Backdoors
NAACL 2024
Context-faithful Prompting for Large Language Models
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 βVisibleβ Physical Commonsense Knowledge
EMNLP 2023
Affective and Dynamic Beam Search for Story Generation
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
New Frontiers of Information Extraction
NAACL 2022
Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning
NAACL 2022
Contextualized Scene Imagination for Generative Commonsense Reasoning
ICLR 2022
Summarization as Indirect Supervision for Relation Extraction
EMNLP 2022
Salience Allocation as Guidance for Abstractive Summarization
EMNLP 2022
PInKS: Preconditioned Commonsense Inference with Minimal Supervision
IJCNLP 2022
An Improved Baseline for Sentence-level Relation Extraction
IJCNLP 2022
Answer Consolidation: Formulation and Benchmarking
NAACL 2022
SpaBERT: A Pretrained Language Model from Geographic Data for Geo-Entity Representation
EMNLP 2022
Unified Semantic Typing with Meaningful Label Inference
NAACL 2022
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis
NAACL 2022
Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing
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
Sharpness-Aware Minimization with Dynamic Reweighting
EMNLP 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
Knowledge Association with Hyperbolic Knowledge Graph Embeddings
EMNLP 2020
Joint Constrained Learning for Event-Event Relation Extraction
EMNLP 2020
What Are You Trying to Do? Semantic Typing of Event Processes
CONLL 2020
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
Analogous Process Structure Induction for Sub-event Sequence Prediction
EMNLP 2020
Learning to Represent Bilingual Dictionaries
CONLL 2019
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
Examining Gender Bias in Languages with Grammatical Gender
IJCNLP 2019
Learning Bilingual Word Embeddings Using Lexical Definitions
ACL 2019
Embedding Uncertain Knowledge Graphs
AAAI 2019
Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment
IJCAI 2018
Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment
IJCAI 2017
Learning Multi-faceted Knowledge Graph Embeddings for Natural Language Processing
IJCAI 2017