Yaojie Lu
72 papers · 2015–2026 · 12 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (11) π§ Keyword Pioneer π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (14) π Academic Marathon (10)
πΊοΈ
Taxonomy Completionist
(14)
π§
Keyword Pioneer
π
Academic Marathon
(10)
π
Conference Loyalist
(28)
π€
Dynamic Duo
(60)
π
Grand Slam
π¬
Deep Specialist
(15)
π§¬
Topic Evolution
π
Trend Setter
β‘
Prolific Year
(16)
β
The Questioner
(3)
ποΈ
Keyword Collector
(308)
π
Century Club
(66)
π₯
Unstoppable
(8)
Conferences
ACL (31)
EMNLP (11)
COLING (8)
AAAI (5)
IJCNLP (4)
ICLR (3)
EACL (2)
NAACL (2)
NIPS (2)
SEMEVAL (2)
ICCV (1)
ICML (1)
Top co-authors
Research topics
Keywords
large language model
(29)
named entity recognition
(8)
knowledge distillation
(6)
transfer learning
(5)
neural network
(4)
domain adaptation
(4)
question answering
(4)
information extraction
(4)
event extraction
(4)
reinforcement learning
(3)
few-shot learning
(3)
self-supervised learning
(3)
reward model
(3)
event detection
(3)
model compression
(3)
knowledge graph
(3)
instruction tuning
(3)
preference learning
(3)
retrieval-augmented generation
(3)
semantic parsing
(2)
Papers
Navigating the Infinite Dynamic Web Space: Effective In-Context Exploration via Cognitive Multi-Agent Collaboration
EACL 2026
PaperRegister: Boosting Flexible-grained Paper Search via Hierarchical Register Indexing
ACL 2026
ScaleBox: Enabling High-Fidelity and Scalable Code Verification for Large Language Models
ACL 2026
Expanding the Boundaries of Vision Prior Knowledge in Multi-modal Large Language Models
EACL 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
The Rise and Down of Babel Tower: Investigating the Evolution Process of Multilingual Code Large Language Model
ICLR 2025
Aligning Retrieval with Reader Needs: Reader-Centered Passage Selection for Open-Domain Question Answering
COLING 2025
Improved Sparse Upcycling for Instruction Tuning
COLING 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
StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization
ICLR 2025
DOMAINEVAL: An Auto-Constructed Benchmark for Multi-Domain Code Generation
AAAI 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
Cheems: A Practical Guidance for Building and Evaluating Chinese Reward Models from Scratch
ACL 2025
CRUXEVAL-X: A Benchmark for Multilingual Code Reasoning, Understanding and Execution
ACL 2025
From Informal to Formal β Incorporating and Evaluating LLMs on Natural Language Requirements to Verifiable Formal Proofs
ACL 2025
Memorizing is Not Enough: Deep Knowledge Injection Through Reasoning
ACL 2025
AutoAlign: Get Your LLM Aligned with Minimal Annotations
ACL 2025
Critic-CoT: Boosting the Reasoning Abilities of Large Language Model via Chain-of-Thought Critic
ACL 2025
On-Policy Self-Alignment with Fine-grained Knowledge Feedback for Hallucination Mitigation
ACL 2025
The Linguistic Connectivities Within Large Language Models
ACL 2025
ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
ACL 2025
Self-Steering Optimization: Autonomous Preference Optimization for Large Language Models
ACL 2025
READoc: A Unified Benchmark for Realistic Document Structured Extraction
ACL 2025
ShortV: Efficient Multimodal Large Language Models by Freezing Visual Tokens in Ineffective Layers
ICCV 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
Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree?
ICLR 2025
ChatGPT Is a Knowledgeable but Inexperienced Solver: An Investigation of Commonsense Problem in Large Language Models
COLING 2024
Base of RoPE Bounds Context Length
NIPS 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
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
Beyond Full Fine-tuning: Harnessing the Power of LoRA for Multi-Task Instruction Tuning
COLING 2024
Self-Retrieval: End-to-End Information Retrieval with One Large Language Model
NIPS 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
Meta-Cognitive Analysis: Evaluating Declarative and Procedural Knowledge in Datasets and Large Language Models
COLING 2024
Seg2Act: Global Context-aware Action Generation for Document Logical Structuring
EMNLP 2024
Chain-of-Rewrite: Aligning Question and Documents for Open-Domain Question Answering
EMNLP 2024
Learning In-context Learning for Named Entity Recognition
ACL 2023
Universal Information Extraction as Unified Semantic Matching
AAAI 2023
Procedural Text Understanding via Scene-Wise Evolution
AAAI 2022
Unified Structure Generation for Universal Information Extraction
ACL 2022
ISCAS at SemEval-2022 Task 10: An Extraction-Validation Pipeline for Structured Sentiment Analysis
NAACL 2022
ISCAS at SemEval-2022 Task 10: An Extraction-Validation Pipeline for Structured Sentiment Analysis
SEMEVAL 2022
From Discourse to Narrative: Knowledge Projection for Event Relation Extraction
ACL 2021
Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction
ACL 2021
From Discourse to Narrative: Knowledge Projection for Event Relation Extraction
IJCNLP 2021
Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction
IJCNLP 2021
ISCAS at SemEval-2020 Task 5: Pre-trained Transformers for Counterfactual Statement Modeling
COLING 2020
ISCAS at SemEval-2020 Task 5: Pre-trained Transformers for Counterfactual Statement Modeling
SEMEVAL 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
Cost-sensitive Regularization for Label Confusion-aware Event Detection
ACL 2019
Iterative Dual Domain Adaptation for Neural Machine Translation
IJCNLP 2019
Gazetteer-Enhanced Attentive Neural Networks for Named Entity Recognition
IJCNLP 2019
Gazetteer-Enhanced Attentive Neural Networks for Named Entity Recognition
EMNLP 2019
Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks
ACL 2019
Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning
ACL 2019
Iterative Dual Domain Adaptation for Neural Machine Translation
EMNLP 2019
Adaptive Scaling for Sparse Detection in Information Extraction
ACL 2018
Nugget Proposal Networks for Chinese Event Detection
ACL 2018
Shallow Convolutional Neural Network for Implicit Discourse Relation Recognition
EMNLP 2015