Lei Hou
96 papers · 2013–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (17) π Interdisciplinary Bridge π Renaissance Researcher (6) π Conference Polyglot (11)
π
Interdisciplinary Bridge
π
Conference Polyglot
(11)
πΊοΈ
Taxonomy Completionist
(17)
π
Conference Loyalist
(30)
π₯
Mega-Team
(35)
π
Grand Slam
π¬
Deep Specialist
(23)
π§¬
Topic Evolution
π
Keyword Champion
(3)
π€
Dynamic Duo
(90)
ποΈ
Keyword Collector
(52)
β
The Questioner
(4)
π
Century Club
(90)
π
Trend Setter
π
Conference Pioneer
π₯
Unstoppable
(8)
β‘
Prolific Year
(13)
Conferences
ACL (36)
EMNLP (29)
COLING (8)
IJCNLP (7)
AAAI (5)
ICLR (4)
NAACL (3)
AACL (1)
ICML (1)
IJCAI (1)
NIPS (1)
Top co-authors
Research topics
Keywords
large language model
(23)
question answering
(12)
knowledge graph
(12)
knowledge base
(12)
link prediction
(8)
pre-trained language model
(7)
multi-hop reasoning
(7)
event extraction
(6)
benchmark evaluation
(6)
event detection
(6)
reinforcement learning
(6)
pretrained language model
(6)
few-shot learning
(6)
named entity recognition
(5)
transfer learning
(5)
information extraction
(5)
instruction following
(5)
unsupervised learning
(4)
multi-document summarization
(4)
attention mechanism
(4)
Papers
WildReward: Learning Reward Models from In-the-Wild Human Interactions
ACL 2026
Boundary-Guided Policy Optimization for Memory-efficient RL of Diffusion Large Language Models
ACL 2026
Chaining the Evidence: Robust Reinforcement Learning for Deep Search Agents with Citation-Aware Rubric Rewards
ACL 2026
From Knowing to Teaching: Scaffolding Pedagogical Decisions for LLM Agent
ACL 2026
RPC-Bench: A Fine-grained Benchmark for Research Paper Comprehension
ACL 2026
SimPBL: A Multi-Agent Framework for Project-Based Learning
ACL 2026
Pre-training Distillation for Large Language Models: A Design Space Exploration
ACL 2025
LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks
ACL 2025
LongReward: Improving Long-context Large Language Models with AI Feedback
ACL 2025
EventSum: A Large-Scale Event-Centric Summarization Dataset for Chinese Multi-News Documents
AAAI 2025
Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems
ACL 2025
SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation
ACL 2025
LongCite: Enabling LLMs to Generate Fine-grained Citations in Long-Context QA
ACL 2025
LinguaLens: Towards Interpreting Linguistic Mechanisms of Large Language Models via Sparse Auto-Encoder
EMNLP 2025
AdaptThink: Reasoning Models Can Learn When to Think
EMNLP 2025
Simulating Classroom Education with LLM-Empowered Agents
NAACL 2025
Establishing Trustworthy LLM Evaluation via Shortcut Neuron Analysis
ACL 2025
LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs
ICLR 2025
CogCoM: A Visual Language Model with Chain-of-Manipulations Reasoning
ICLR 2025
RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style
ICLR 2025
MMD-ERE: Multi-Agent Multi-Sided Debate for Event Relation Extraction
COLING 2025
VerIF: Verification Engineering for Reinforcement Learning in Instruction Following
EMNLP 2025
MM-MATH: Advancing Multimodal Math Evaluation with Process Evaluation and Fine-grained Classification
EMNLP 2024
ADELIE: Aligning Large Language Models on Information Extraction
EMNLP 2024
A Cause-Effect Look at Alleviating Hallucination of Knowledge-grounded Dialogue Generation
COLING 2024
Evaluating Generative Language Models in Information Extraction as Subjective Question Correction
COLING 2024
TacoERE: Cluster-aware Compression for Event Relation Extraction
COLING 2024
Untangle the KNOT: Interweaving Conflicting Knowledge and Reasoning Skills in Large Language Models
COLING 2024
KB-Plugin: A Plug-and-play Framework for Large Language Models to Induce Programs over Low-resourced Knowledge Bases
EMNLP 2024
KoLA: Carefully Benchmarking World Knowledge of Large Language Models
ICLR 2024
MAVEN-FACT: A Large-scale Event Factuality Detection Dataset
EMNLP 2024
LongAlign: A Recipe for Long Context Alignment of Large Language Models
EMNLP 2024
WaterBench: Towards Holistic Evaluation of Watermarks for Large Language Models
ACL 2024
LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding
ACL 2024
MAVEN-ARG: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation
ACL 2024
How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering
ACL 2024
LC4EE: LLMs as Good Corrector for Event Extraction
ACL 2024
DocEE-zh: A Fine-grained Benchmark for Chinese Document-level Event Extraction
EMNLP 2024
Benchmarking Foundation Models with Language-Model-as-an-Examiner
NIPS 2023
Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsing
AAAI 2023
Distantly Supervised Course Concept Extraction in MOOCs with Academic Discipline
ACL 2023
Reasoning over Hierarchical Question Decomposition Tree for Explainable Question Answering
ACL 2023
VisKoP: Visual Knowledge oriented Programming for Interactive Knowledge Base Question Answering
ACL 2023
The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation
ACL 2023
Learn to Not Link: Exploring NIL Prediction in Entity Linking
ACL 2023
KoRC: Knowledge Oriented Reading Comprehension Benchmark for Deep Text Understanding
ACL 2023
Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction
EMNLP 2023
OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event Understanding
EMNLP 2023
Exploring the Cognitive Knowledge Structure of Large Language Models: An Educational Diagnostic Assessment Approach
EMNLP 2023
Probabilistic Tree-of-thought Reasoning for Answering Knowledge-intensive Complex Questions
EMNLP 2023
Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization
ICML 2023
GraphQ IR: Unifying the Semantic Parsing of Graph Query Languages with One Intermediate Representation
EMNLP 2022
Finding Skill Neurons in Pre-trained Transformer-based Language Models
EMNLP 2022
Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable Approach
ACL 2022
How Can Cross-lingual Knowledge Contribute Better to Fine-Grained Entity Typing?
ACL 2022
LEVEN: A Large-Scale Chinese Legal Event Detection Dataset
ACL 2022
Program Transfer for Answering Complex Questions over Knowledge Bases
ACL 2022
KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base
ACL 2022
ParaMac: A General Unsupervised Paraphrase Generation Framework Leveraging Semantic Constraints and Diversifying Mechanisms
EMNLP 2022
Syntactically Robust Training on Partially-Observed Data for Open Information Extraction
EMNLP 2022
Dependency Parsing via Sequence Generation
EMNLP 2022
SQUIRE: A Sequence-to-sequence Framework for Multi-hop Knowledge Graph Reasoning
EMNLP 2022
COPEN: Probing Conceptual Knowledge in Pre-trained Language Models
EMNLP 2022
MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction
EMNLP 2022
DocEE: A Large-Scale and Fine-grained Benchmark for Document-level Event Extraction
NAACL 2022
On Transferability of Prompt Tuning for Natural Language Processing
NAACL 2022
UPER: Boosting Multi-Document Summarization with an Unsupervised Prompt-based Extractor
COLING 2022
TWAG: A Topic-Guided Wikipedia Abstract Generator
ACL 2021
TWAG: A Topic-Guided Wikipedia Abstract Generator
IJCNLP 2021
Interpretable and Low-Resource Entity Matching via Decoupling Feature Learning from Decision Making
IJCNLP 2021
TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph
EMNLP 2021
Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability
EMNLP 2021
CLEVE: Contrastive Pre-training for Event Extraction
IJCNLP 2021
Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition
IJCNLP 2021
CLEVE: Contrastive Pre-training for Event Extraction
ACL 2021
Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition
ACL 2021
Interpretable and Low-Resource Entity Matching via Decoupling Feature Learning from Decision Making
ACL 2021
Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph
EMNLP 2020
ExpanRL: Hierarchical Reinforcement Learning for Course Concept Expansion in MOOCs
AACL 2020
Image Enhanced Event Detection in News Articles
AAAI 2020
Improving Event Detection via Open-domain Trigger Knowledge
ACL 2020
MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs
ACL 2020
Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations
IJCNLP 2019
Course Concept Expansion in MOOCs with External Knowledge and Interactive Game
ACL 2019
Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model
EMNLP 2019
Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations
EMNLP 2019
Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model
IJCNLP 2019
Fine-Grained Entity Typing via Hierarchical Multi Graph Convolutional Networks
IJCNLP 2019
Learning to Embed Sentences Using Attentive Recursive Trees
AAAI 2019
DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization
AAAI 2019
Fine-Grained Entity Typing via Hierarchical Multi Graph Convolutional Networks
EMNLP 2019
Differentiating Concepts and Instances for Knowledge Graph Embedding
EMNLP 2018
Attributed and Predictive Entity Embedding for Fine-Grained Entity Typing in Knowledge Bases
COLING 2018
Neural Collective Entity Linking
COLING 2018
Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision
EMNLP 2018
What Users Care About: A Framework for Social Content Alignment
IJCAI 2013