Lei Hou
Orcid: 0000-0002-8907-3526Affiliations:
- Tsinghua University, Department of Computer Science and Technology, BDCST, BNRist, KIRC, Institute for Artificial Intelligence, Beijing, China
According to our database1,
Lei Hou
authored at least 172 papers
between 2010 and 2025.
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Bibliography
2025
Expert Syst. Appl., 2025
2024
Towards Knowledge-Aware and Deep Reinforced Cross-Domain Recommendation Over Collaborative Knowledge Graph.
IEEE Trans. Knowl. Data Eng., November, 2024
IEEE Trans. Knowl. Data Eng., April, 2024
IEEE ACM Trans. Audio Speech Lang. Process., 2024
Expert Syst. Appl., 2024
Constraint Back-translation Improves Complex Instruction Following of Large Language Models.
CoRR, 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
Awaking the Slides: A Tuning-free and Knowledge-regulated AI Tutoring System via Language Model Coordination.
CoRR, 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
DICE: Detecting In-distribution Contamination in LLM's Fine-tuning Phase for Math Reasoning.
CoRR, 2024
CoRR, 2024
CogCoM: Train Large Vision-Language Models Diving into Details through Chain of Manipulations.
CoRR, 2024
Probing Structured Semantics Understanding and Generation of Language Models via Question Answering.
CoRR, 2024
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the Knowledge Science, Engineering and Management, 2024
R-Eval: A Unified Toolkit for Evaluating Domain Knowledge of Retrieval Augmented Large Language Models.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
KB-Plugin: A Plug-and-play Framework for Large Language Models to Induce Programs over Low-resourced Knowledge Bases.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
MM-MATH: Advancing Multimodal Math Evaluation with Process Evaluation and Fine-grained Classification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
A Cause-Effect Look at Alleviating Hallucination of Knowledge-grounded Dialogue Generation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Untangle the KNOT: Interweaving Conflicting Knowledge and Reasoning Skills in Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Evaluating Generative Language Models in Information Extraction as Subjective Question Correction.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
DiaKoP: Dialogue-based Knowledge-oriented Programming for Neural-symbolic Knowledge Base Question Answering.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
MAVEN-ARG: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
HKGCL: Hierarchical graph contrastive learning for multi-domain recommendation over knowledge graph.
Expert Syst. Appl., December, 2023
Pre-training language model incorporating domain-specific heterogeneous knowledge into a unified representation.
Expert Syst. Appl., April, 2023
Preference-aware Graph Attention Networks for Cross-Domain Recommendations with Collaborative Knowledge Graph.
ACM Trans. Inf. Syst., 2023
When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks.
CoRR, 2023
Mastering the Task of Open Information Extraction with Large Language Models and Consistent Reasoning Environment.
CoRR, 2023
BiLL-VTG: Bridging Large Language Models and Lightweight Visual Tools for Video-based Texts Generation.
CoRR, 2023
GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation.
CoRR, 2023
Language-independent Taxonomy Derivation from Wikipedia via Multi-task Adversarial Learning.
Proceedings of the Wikidata Workshop 2023 co-located with 22nd International Semantic Web Conference (ISWC 2023), 2023
MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCs.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization.
Proceedings of the International Conference on Machine Learning, 2023
Exploring the Cognitive Knowledge Structure of Large Language Models: An Educational Diagnostic Assessment Approach.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Probabilistic Tree-of-thought Reasoning for Answering Knowledge-intensive Complex Questions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
LittleMu: Deploying an Online Virtual Teaching Assistant via Heterogeneous Sources Integration and Chain of Teach Prompts.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Improving the Consistency of Semantic Parsing in KBQA Through Knowledge Distillation.
Proceedings of the Web and Big Data - 7th International Joint Conference, 2023
Exploring the Effectiveness of Student Behavior in Prerequisite Relation Discovery for Concepts.
Proceedings of the Web and Big Data - 7th International Joint Conference, 2023
Proceedings of the Web and Big Data - 7th International Joint Conference, 2023
Proceedings of the Web and Big Data - 7th International Joint Conference, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Reasoning over Hierarchical Question Decomposition Tree for Explainable Question Answering.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
KoRC: Knowledge Oriented Reading Comprehension Benchmark for Deep Text Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
VisKoP: Visual Knowledge oriented Programming for Interactive Knowledge Base Question Answering.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023
Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsing.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Expert Syst. Appl., 2022
Step out of KG: Knowledge Graph Completion via Knowledgeable Retrieval and Reading Comprehension.
CoRR, 2022
ConstGCN: Constrained Transmission-based Graph Convolutional Networks for Document-level Relation Extraction.
CoRR, 2022
Guiding the PLMs with Semantic Anchors as Intermediate Supervision: Towards Interpretable Semantic Parsing.
CoRR, 2022
GraphQ IR: Unifying Semantic Parsing of Graph Query Language with Intermediate Representation.
CoRR, 2022
CoRR, 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
XDAI: A Tuning-free Framework for Exploiting Pre-trained Language Models in Knowledge Grounded Dialogue Generation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Syntactically Robust Training on Partially-Observed Data for Open Information Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
GraphQ IR: Unifying the Semantic Parsing of Graph Query Languages with One Intermediate Representation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
ParaMac: A General Unsupervised Paraphrase Generation Framework Leveraging Semantic Constraints and Diversifying Mechanisms.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the Database Systems for Advanced Applications, 2022
UPER: Boosting Multi-Document Summarization with an Unsupervised Prompt-based Extractor.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable Approach.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
TravelBERT: Pre-training Language Model Incorporating Domain-specific Heterogeneous Knowledge into A Unified Representation.
CoRR, 2021
Encoding the Meaning Triangle (Object, Entity, and Concept) as the Semantic Foundation for Entity Alignment.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021
Multi-Grained Dependency Graph Neural Network for Chinese Open Information Extraction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021
Predicting Categorial Sememe for English-Chinese Word Pairs via Representations in Explainable Sememe Space.
Proceedings of the Natural Language Processing and Chinese Computing, 2021
Proceedings of the Data Science, 2021
Proceedings of the Data Science, 2021
TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the Information Retrieval - 27th China Conference, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Interpretable and Low-Resource Entity Matching via Decoupling Feature Learning from Decision Making.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
KQA Pro: A Large Diagnostic Dataset for Complex Question Answering over Knowledge Base.
CoRR, 2020
Proceedings of the Natural Language Processing and Chinese Computing, 2020
Proceedings of the Knowledge Science, Engineering and Management, 2020
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020
Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph and Cognitive Intelligence, 2020
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph and Cognitive Intelligence, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Web Information Systems and Applications, 2020
2019
Data Intell., 2019
Proceedings of the Natural Language Processing and Chinese Computing, 2019
Unsupervised Cross-Lingual Sentence Representation Learning via Linguistic Isomorphism.
Proceedings of the Knowledge Science, Engineering and Management, 2019
Proceedings of the Semantic Technology - 9th Joint International Conference, 2019
Proceedings of the Semantic Technology - 9th Joint International Conference, 2019
Knowledge-Enhanced Bilingual Textual Representations for Cross-Lingual Semantic Textual Similarity.
Proceedings of the Data Science, 2019
Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the Chinese Computational Linguistics - 18th China National Conference, 2019
Proceedings of the Chinese Computational Linguistics - 18th China National Conference, 2019
How Important Is POS to Dependency Parsing? Joint POS Tagging and Dependency Parsing Neural Networks.
Proceedings of the Chinese Computational Linguistics - 18th China National Conference, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Category Multi-representation: A Unified Solution for Named Entity Recognition in Clinical Texts.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Is a Common Phrase an Entity Mention or Not? Dual Representations for Domain-Specific Named Entity Recognition.
Proceedings of the Database Systems for Advanced Applications, 2018
Attributed and Predictive Entity Embedding for Fine-Grained Entity Typing in Knowledge Bases.
Proceedings of the 27th International Conference on Computational Linguistics, 2018
Proceedings of the 27th International Conference on Computational Linguistics, 2018
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2018
Type Hierarchy Enhanced Heterogeneous Network Embedding for Fine-Grained Entity Typing in Knowledge Bases.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2018
2017
Proceedings of the Semantic Web - ISWC 2017, 2017
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2017
2016
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
2015
Proceedings of the Natural Language Processing and Chinese Computing - 4th CCF Conference, 2015
Measuring the Influence from User-Generated Content to News via Cross-dependence Topic Modeling.
Proceedings of the Database Systems for Advanced Applications, 2015
2014
Proceedings of the Semantic Technology - 4th Joint International Conference, 2014
2013
Proceedings of the IJCAI 2013, 2013
2012
Proceedings of the Semantic Web and Web Science, 2012
Proceedings of the Web Technologies and Applications - 14th Asia-Pacific Web Conference, 2012
Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012
2010
Proceedings of the 5th International Workshop on Ontology Matching (OM-2010), 2010