Le Sun
158 papers · 2000–2026 · 15 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (14) π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (18) π Interdisciplinary Bridge π Academic Marathon (25)
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Academic Marathon
(25)
πΊοΈ
Taxonomy Completionist
(18)
π§
Keyword Pioneer
π
Conference Loyalist
(60)
π§¬
Topic Evolution
π
Grand Slam
π¬
Deep Specialist
(25)
π€
Dynamic Duo
(120)
π
Trend Setter
π₯
Unstoppable
(12)
π
Conference Pioneer
β‘
Prolific Year
(10)
π
Century Club
(149)
β
The Questioner
(13)
ποΈ
Keyword Collector
(57)
Conferences
ACL (65)
EMNLP (27)
COLING (18)
IJCNLP (14)
AAAI (12)
ICLR (5)
IJCAI (5)
EACL (2)
ICCV (2)
NAACL (2)
SEMEVAL (2)
AACL (1)
CONLL (1)
ICML (1)
NIPS (1)
Top co-authors
Research topics
Keywords
large language model
(38)
named entity recognition
(13)
representation learning
(11)
semantic parsing
(10)
information retrieval
(8)
retrieval-augmented generation
(7)
question answering
(7)
neural network
(7)
benchmark evaluation
(6)
knowledge distillation
(6)
few-shot learning
(6)
structural causal model
(5)
attention mechanism
(5)
entity set expansion
(5)
transfer learning
(5)
knowledge graph
(5)
event extraction
(5)
distant supervision
(4)
information extraction
(4)
zero-shot learning
(4)
Papers
SURE or Not? Investigating Semantic Understanding in Dense Retrieval Models
ACL 2026
CoCoNUTS: Concentrating on Content while Neglecting Uninformative Textual Styles for AI-Generated Peer Review Detection
ACL 2026
Navigating the Infinite Dynamic Web Space: Effective In-Context Exploration via Cognitive Multi-Agent Collaboration
EACL 2026
Expanding the Boundaries of Vision Prior Knowledge in Multi-modal Large Language Models
EACL 2026
PaperRegister: Boosting Flexible-grained Paper Search via Hierarchical Register Indexing
ACL 2026
All Languages Matter: Understanding and Mitigating Language Bias in Multilingual RAG
ACL 2026
AI-Salesman: Towards Reliable Large Language Model Driven Telemarketing
AAAI 2026
Does Question Really Matter? The Attribution of Answer Bias in LLM Evaluation
AAAI 2026
ScaleBox: Enabling High-Fidelity and Scalable Code Verification for Large Language Models
ACL 2026
Large Language Models Often Say One Thing and Do Another
ICLR 2025
StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization
ICLR 2025
CATP-LLM: Empowering Large Language Models for Cost-Aware Tool Planning
ICCV 2025
ShortV: Efficient Multimodal Large Language Models by Freezing Visual Tokens in Ineffective Layers
ICCV 2025
RMTBench: Benchmarking LLMs Through Multi-Turn User-Centric Role-Playing
EMNLP 2025
PPTAgent: Generating and Evaluating Presentations Beyond Text-to-Slides
EMNLP 2025
ConsistentChat: Building Skeleton-Guided Consistent Multi-Turn Dialogues for Large Language Models from Scratch
EMNLP 2025
Teach Small Models to Reason by Curriculum Distillation
EMNLP 2025
Improved Sparse Upcycling for Instruction Tuning
COLING 2025
Can LLMs Clarify? Investigation and Enhancement of Large Language Models on Argument Claim Optimization
COLING 2025
Aligning Retrieval with Reader Needs: Reader-Centered Passage Selection for Open-Domain Question Answering
COLING 2025
Match, Compare, or Select? An Investigation of Large Language Models for Entity Matching
COLING 2025
READoc: A Unified Benchmark for Realistic Document Structured Extraction
ACL 2025
DiffLM: Controllable Synthetic Data Generation via Diffusion Language Models
ACL 2025
Code-SPA: Style Preference Alignment to Large Language Models for Effective and Robust Code Debugging
ACL 2025
Self-Steering Optimization: Autonomous Preference Optimization for Large Language Models
ACL 2025
The Linguistic Connectivities Within Large Language Models
ACL 2025
On-Policy Self-Alignment with Fine-grained Knowledge Feedback for Hallucination Mitigation
ACL 2025
Critic-CoT: Boosting the Reasoning Abilities of Large Language Model via Chain-of-Thought Critic
ACL 2025
AutoAlign: Get Your LLM Aligned with Minimal Annotations
ACL 2025
Memorizing is Not Enough: Deep Knowledge Injection Through Reasoning
ACL 2025
From Informal to Formal β Incorporating and Evaluating LLMs on Natural Language Requirements to Verifiable Formal Proofs
ACL 2025
CRUXEVAL-X: A Benchmark for Multilingual Code Reasoning, Understanding and Execution
ACL 2025
Not All Terms Matter: Recall-Oriented Adaptive Learning for PLM-aided Query Expansion in Open-Domain Question Answering
ACL 2025
ARise: Towards Knowledge-Augmented Reasoning via Risk-Adaptive Search
ACL 2025
Cheems: A Practical Guidance for Building and Evaluating Chinese Reward Models from Scratch
ACL 2025
DOMAINEVAL: An Auto-Constructed Benchmark for Multi-Domain Code Generation
AAAI 2025
Transferable Post-training via Inverse Value Learning
NAACL 2025
The Devil Is in the Details: Tackling Unimodal Spurious Correlations for Generalizable Multimodal Reward Models
ICML 2025
DeepSolution: Boosting Complex Engineering Solution Design via Tree-based Exploration and Bi-point Thinking
ACL 2025
Sparse Latents Steer Retrieval-Augmented Generation
ACL 2025
Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree?
ICLR 2025
The Rise and Down of Babel Tower: Investigating the Evolution Process of Multilingual Code Large Language Model
ICLR 2025
Enhancing Learning with Label Differential Privacy by Vector Approximation
ICLR 2025
Beyond Full Fine-tuning: Harnessing the Power of LoRA for Multi-Task Instruction Tuning
COLING 2024
Benchmarking Large Language Models in Retrieval-Augmented Generation
AAAI 2024
Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-Based Retrofitting
AAAI 2024
Rule or Story, Which is a Better Commonsense Expression for Talking with Large Language Models?
ACL 2024
Open Grounded Planning: Challenges and Benchmark Construction
ACL 2024
PRP-Graph: Pairwise Ranking Prompting to LLMs with Graph Aggregation for Effective Text Re-ranking
ACL 2024
Learning or Self-aligning? Rethinking Instruction Fine-tuning
ACL 2024
Navigating the Shadows: Unveiling Effective Disturbances for Modern AI Content Detectors
ACL 2024
Spiral of Silence: How is Large Language Model Killing Information Retrieval?βA Case Study on Open Domain Question Answering
ACL 2024
StructEval: Deepen and Broaden Large Language Model Assessment via Structured Evaluation
ACL 2024
XMC-Agent : Dynamic Navigation over Scalable Hierarchical Index for Incremental Extreme Multi-label Classification
ACL 2024
REInstruct: Building Instruction Data from Unlabeled Corpus
ACL 2024
SoFA: Shielded On-the-fly Alignment via Priority Rule Following
ACL 2024
Debiasing In-Context Learning by Instructing LLMs How to Follow Demonstrations
ACL 2024
Analyze, Generate and Refine: Query Expansion with LLMs for Zero-Shot Open-Domain QA
ACL 2024
Self-Retrieval: End-to-End Information Retrieval with One Large Language Model
NIPS 2024
ChatGPT Is a Knowledgeable but Inexperienced Solver: An Investigation of Commonsense Problem in Large Language Models
COLING 2024
Executing Natural Language-Described Algorithms with Large Language Models: An Investigation
COLING 2024
Few-shot Named Entity Recognition via Superposition Concept Discrimination
COLING 2024
Humanizing Machine-Generated Content: Evading AI-Text Detection through Adversarial Attack
COLING 2024
Meta-Cognitive Analysis: Evaluating Declarative and Procedural Knowledge in Datasets and Large Language Models
COLING 2024
Retentive or Forgetful? Diving into the Knowledge Memorizing Mechanism of Language Models
COLING 2024
Seg2Act: Global Context-aware Action Generation for Document Logical Structuring
EMNLP 2024
Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation
EMNLP 2024
Chain-of-Rewrite: Aligning Question and Documents for Open-Domain Question Answering
EMNLP 2024
Toward Unified Controllable Text Generation via Regular Expression Instruction
AACL 2023
Dialogue Rewriting via Skeleton-Guided Generation
AAAI 2023
Universal Information Extraction as Unified Semantic Matching
AAAI 2023
Hidding the Ghostwriters: An Adversarial Evaluation of AI-Generated Student Essay Detection
EMNLP 2023
WebDP: Understanding Discourse Structures in Semi-Structured Web Documents
ACL 2023
Towards Imperceptible Document Manipulations against Neural Ranking Models
ACL 2023
Contextual Interaction for Argument Post Quality Assessment
EMNLP 2023
Contrastive Distant Supervision for Debiased and Denoised Machine Reading Comprehension
EMNLP 2023
Does the Correctness of Factual Knowledge Matter for Factual Knowledge-Enhanced Pre-trained Language Models?
EMNLP 2023
Learning In-context Learning for Named Entity Recognition
ACL 2023
Toward Unified Controllable Text Generation via Regular Expression Instruction
IJCNLP 2023
Understanding Differential Search Index for Text Retrieval
ACL 2023
Ambiguous Learning from Retrieval: Towards Zero-shot Semantic Parsing
ACL 2023
Semantic-aware Contrastive Learning for More Accurate Semantic Parsing
EMNLP 2022
Pre-training to Match for Unified Low-shot Relation Extraction
ACL 2022
Can Prompt Probe Pretrained Language Models? Understanding the Invisible Risks from a Causal View
ACL 2022
Towards Robust Dense Retrieval via Local Ranking Alignment
IJCAI 2022
ECO v1: Towards Event-Centric Opinion Mining
ACL 2022
Procedural Text Understanding via Scene-Wise Evolution
AAAI 2022
Bridging the Gap between Reality and Ideality of Entity Matching: A Revisiting and Benchmark Re-Construction
IJCAI 2022
Few-shot Named Entity Recognition with Self-describing Networks
ACL 2022
Unified Structure Generation for Universal Information Extraction
ACL 2022
From Paraphrasing to Semantic Parsing: Unsupervised Semantic Parsing via Synchronous Semantic Decoding
ACL 2021
De-biasing Distantly Supervised Named Entity Recognition via Causal Intervention
ACL 2021
From Paraphrasing to Semantic Parsing: Unsupervised Semantic Parsing via Synchronous Semantic Decoding
IJCNLP 2021
De-biasing Distantly Supervised Named Entity Recognition via Causal Intervention
IJCNLP 2021
Element Intervention for Open Relation Extraction
IJCNLP 2021
Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction
IJCNLP 2021
Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases
IJCNLP 2021
From Discourse to Narrative: Knowledge Projection for Event Relation Extraction
IJCNLP 2021
Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention
EMNLP 2021
Element Intervention for Open Relation Extraction
ACL 2021
Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction
ACL 2021
Progressive Adversarial Learning for Bootstrapping: A Case Study on Entity Set Expansion
EMNLP 2021
Benchmarking Knowledge-Enhanced Commonsense Question Answering via Knowledge-to-Text Transformation
AAAI 2021
Fine-grained Entity Typing via Label Reasoning
EMNLP 2021
From Discourse to Narrative: Knowledge Projection for Event Relation Extraction
ACL 2021
Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases
ACL 2021
Denoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic Model
AAAI 2021
ISCAS at SemEval-2020 Task 5: Pre-trained Transformers for Counterfactual Statement Modeling
SEMEVAL 2020
ISCAS at SemEval-2020 Task 5: Pre-trained Transformers for Counterfactual Statement Modeling
COLING 2020
A Rigorous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land?
EMNLP 2020
Syntactic and Semantic-driven Learning for Open Information Extraction
EMNLP 2020
Global Bootstrapping Neural Network for Entity Set Expansion
EMNLP 2020
BERT-QE: Contextualized Query Expansion for Document Re-ranking
EMNLP 2020
End-to-End Bootstrapping Neural Network for Entity Set Expansion
AAAI 2020
Learning to Map Frequent Phrases to Sub-Structures of Meaning Representation for Neural Semantic Parsing
AAAI 2020
Global Structure and Local Semantics-Preserved Embeddings for Entity Alignment
IJCAI 2020
Hierarchical Matching Network for Heterogeneous Entity Resolution
IJCAI 2020
Learning to Bootstrap for Entity Set Expansion
IJCNLP 2019
End-to-End Multi-Perspective Matching for Entity Resolution
IJCAI 2019
Gazetteer-Enhanced Attentive Neural Networks for Named Entity Recognition
EMNLP 2019
Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning
ACL 2019
EUSP: An Easy-to-Use Semantic Parsing PlatForm
EMNLP 2019
Cost-sensitive Regularization for Label Confusion-aware Event Detection
ACL 2019
Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks
ACL 2019
EUSP: An Easy-to-Use Semantic Parsing PlatForm
IJCNLP 2019
Gazetteer-Enhanced Attentive Neural Networks for Named Entity Recognition
IJCNLP 2019
Learning to Bootstrap for Entity Set Expansion
EMNLP 2019
Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis
ACL 2019
Accurate Text-Enhanced Knowledge Graph Representation Learning
NAACL 2018
Sequence-to-Action: End-to-End Semantic Graph Generation for Semantic Parsing
ACL 2018
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval
EMNLP 2018
Semi-Supervised Lexicon Learning for Wide-Coverage Semantic Parsing
COLING 2018
TDNN: A Two-stage Deep Neural Network for Prompt-independent Automated Essay Scoring
ACL 2018
Adaptive Scaling for Sparse Detection in Information Extraction
ACL 2018
Nugget Proposal Networks for Chinese Event Detection
ACL 2018
Model-Free Context-Aware Word Composition
COLING 2018
Reasoning with Heterogeneous Knowledge for Commonsense Machine Comprehension
EMNLP 2017
Context-Sensitive Inference Rule Discovery: A Graph-Based Method
COLING 2016
Sentence Rewriting for Semantic Parsing
ACL 2016
ISCAS_NLP at SemEval-2016 Task 1: Sentence Similarity Based on Support Vector Regression using Multiple Features
SEMEVAL 2016
Learning to Mine Query Subtopics from Query Log
IJCNLP 2015
Learning to Mine Query Subtopics from Query Log
ACL 2015
Semantic Consistency: A Local Subspace Based Method for Distant Supervised Relation Extraction
ACL 2014
A Feature-Enriched Tree Kernel for Relation Extraction
ACL 2014
A Probabilistic Co-Bootstrapping Method for Entity Set Expansion
COLING 2014
An Entity-Topic Model for Entity Linking
EMNLP 2012
An Entity-Topic Model for Entity Linking
CONLL 2012
A Generative Entity-Mention Model for Linking Entities with Knowledge Base
ACL 2011
Improving Word Sense Induction by Exploiting Semantic Relevance
IJCNLP 2011
A Structured Prediction Approach for Statistical Machine Translation
IJCNLP 2008
Two Step Chinese Named Entity Recognition Based on Conditional Random Fields Models
IJCNLP 2008
An Iterative Implicit Feedback Approach to Personalized Search
COLING 2006
An Iterative Implicit Feedback Approach to Personalized Search
ACL 2006
A Trigger Language Model-based IR System
COLING 2004
Query Translation in Chinese-English Cross-Language Information Retrieval
EMNLP 2000
Word Alignment of English-Chinese Bilingual Corpus Based on Chucks
ACL 2000
Query Translation in Chinese-English Cross-Language Information Retrieval
ACL 2000
Word Alignment of English-Chinese Bilingual Corpus Based on Chucks
EMNLP 2000