Lei Hou
89 papers · 2013–2026 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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πΊοΈ Taxonomy Completionist (127) π Interdisciplinary Bridge Β· Gold π Conference Polyglot Β· Gold π Academic Marathon Β· Half π£ Hot Topic Early Bird
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(22)
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Venues
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Research topics
Natural Language Processing
(62)
Artificial Intelligence
(55)
Machine Learning
(53)
Core AI
(50)
Applications
(41)
Deep Learning
(36)
Learning Types Β· Machine Learning
(29)
Resources & Methods
(28)
Learning Types Β· Deep Learning
(23)
Core Methods
(18)
Knowledge & Reasoning
(12)
Learning Paradigms
(12)
Application Areas
(11)
Optimization & Theory
(11)
Understanding
(9)
Keywords
large language model
(24)
knowledge graph
(12)
question answering
(12)
knowledge base
(11)
pre-trained language model
(11)
benchmark evaluation
(8)
link prediction
(8)
multi-hop reasoning
(6)
event extraction
(6)
event detection
(6)
reinforcement learning
(6)
transfer learning
(5)
information extraction
(5)
instruction following
(5)
few-shot learning
(4)
unsupervised learning
(4)
text generation
(4)
attention mechanism
(4)
named entity recognition
(4)
supervised fine-tuning
(4)
Papers
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
WildReward: Learning Reward Models from In-the-Wild Human Interactions
ACL 2026
AdaptThink: Reasoning Models Can Learn When to Think
EMNLP 2025
Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems
ACL 2025
CogCoM: A Visual Language Model with Chain-of-Manipulations Reasoning
ICLR 2025
Establishing Trustworthy LLM Evaluation via Shortcut Neuron Analysis
ACL 2025
EventSum: A Large-Scale Event-Centric Summarization Dataset for Chinese Multi-News Documents
AAAI 2025
LinguaLens: Towards Interpreting Linguistic Mechanisms of Large Language Models via Sparse Auto-Encoder
EMNLP 2025
LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks
ACL 2025
LongCite: Enabling LLMs to Generate Fine-grained Citations in Long-Context QA
ACL 2025
LongReward: Improving Long-context Large Language Models with AI Feedback
ACL 2025
LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs
ICLR 2025
MMD-ERE: Multi-Agent Multi-Sided Debate for Event Relation Extraction
COLING 2025
Pre-training Distillation for Large Language Models: A Design Space Exploration
ACL 2025
RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style
ICLR 2025
SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation
ACL 2025
Simulating Classroom Education with LLM-Empowered Agents
NAACL 2025
VerIF: Verification Engineering for Reinforcement Learning in Instruction Following
EMNLP 2025
A Cause-Effect Look at Alleviating Hallucination of Knowledge-grounded Dialogue Generation
COLING 2024
ADELIE: Aligning Large Language Models on Information Extraction
EMNLP 2024
DocEE-zh: A Fine-grained Benchmark for Chinese Document-level Event Extraction
EMNLP 2024
Evaluating Generative Language Models in Information Extraction as Subjective Question Correction
COLING 2024
How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering
ACL 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
LC4EE: LLMs as Good Corrector for Event Extraction
ACL 2024
LongAlign: A Recipe for Long Context Alignment of Large Language Models
EMNLP 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
MAVEN-FACT: A Large-scale Event Factuality Detection Dataset
EMNLP 2024
MM-MATH: Advancing Multimodal Math Evaluation with Process Evaluation and Fine-grained Classification
EMNLP 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
WaterBench: Towards Holistic Evaluation of Watermarks for Large Language Models
ACL 2024
Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization
ICML 2023
Benchmarking Foundation Models with Language-Model-as-an-Examiner
NeurIPS 2023
Distantly Supervised Course Concept Extraction in MOOCs with Academic Discipline
ACL 2023
Exploring the Cognitive Knowledge Structure of Large Language Models: An Educational Diagnostic Assessment Approach
EMNLP 2023
KoRC: Knowledge Oriented Reading Comprehension Benchmark for Deep Text Understanding
ACL 2023
Learn to Not Link: Exploring NIL Prediction in Entity Linking
ACL 2023
OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event Understanding
EMNLP 2023
Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction
EMNLP 2023
Probabilistic Tree-of-thought Reasoning for Answering Knowledge-intensive Complex Questions
EMNLP 2023
Reasoning over Hierarchical Question Decomposition Tree for Explainable Question Answering
ACL 2023
The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation
ACL 2023
Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsing
AAAI 2023
VisKoP: Visual Knowledge oriented Programming for Interactive Knowledge Base Question Answering
ACL 2023
COPEN: Probing Conceptual Knowledge in Pre-trained Language Models
EMNLP 2022
Dependency Parsing via Sequence Generation
EMNLP 2022
DocEE: A Large-Scale and Fine-grained Benchmark for Document-level Event Extraction
NAACL 2022
Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable Approach
ACL 2022
Finding Skill Neurons in Pre-trained Transformer-based Language Models
EMNLP 2022
GraphQ IR: Unifying the Semantic Parsing of Graph Query Languages with One Intermediate Representation
EMNLP 2022
How Can Cross-lingual Knowledge Contribute Better to Fine-Grained Entity Typing?
ACL 2022
KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base
ACL 2022
LEVEN: A Large-Scale Chinese Legal Event Detection Dataset
ACL 2022
MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction
EMNLP 2022
On Transferability of Prompt Tuning for Natural Language Processing
NAACL 2022
ParaMac: A General Unsupervised Paraphrase Generation Framework Leveraging Semantic Constraints and Diversifying Mechanisms
EMNLP 2022
Program Transfer for Answering Complex Questions over Knowledge Bases
ACL 2022
SQUIRE: A Sequence-to-sequence Framework for Multi-hop Knowledge Graph Reasoning
EMNLP 2022
Syntactically Robust Training on Partially-Observed Data for Open Information Extraction
EMNLP 2022
UPER: Boosting Multi-Document Summarization with an Unsupervised Prompt-based Extractor
COLING 2022
CLEVE: Contrastive Pre-training for Event Extraction
ACL 2021
Interpretable and Low-Resource Entity Matching via Decoupling Feature Learning from Decision Making
ACL 2021
Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability
EMNLP 2021
Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition
ACL 2021
TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph
EMNLP 2021
TWAG: A Topic-Guided Wikipedia Abstract Generator
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
EMNLP 2019
Course Concept Expansion in MOOCs with External Knowledge and Interactive Game
ACL 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
Learning to Embed Sentences Using Attentive Recursive Trees
AAAI 2019
Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model
EMNLP 2019
Attributed and Predictive Entity Embedding for Fine-Grained Entity Typing in Knowledge Bases
COLING 2018
Differentiating Concepts and Instances for Knowledge Graph Embedding
EMNLP 2018
Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision
EMNLP 2018
Neural Collective Entity Linking
COLING 2018
What Users Care About: A Framework for Social Content Alignment
IJCAI 2013