Jiaqing Liang
Orcid: 0000-0003-0670-5602
According to our database1,
Jiaqing Liang
authored at least 97 papers
between 2016 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Gen-SQL: Efficient Text-to-SQL By Bridging Natural Language Question And Database Schema With Pseudo-Schema.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
MultiLingPoT: Enhancing Mathematical Reasoning with Multilingual Program Fine-tuning.
CoRR, 2024
EDGE: Enhanced Grounded GUI Understanding with Enriched Multi-Granularity Synthetic Data.
CoRR, 2024
Think Thrice Before You Act: Progressive Thought Refinement in Large Language Models.
CoRR, 2024
CoRR, 2024
Do Large Language Models have Problem-Solving Capability under Incomplete Information Scenarios?
CoRR, 2024
Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation.
CoRR, 2024
Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs.
CoRR, 2024
Adaptive Reinforcement Learning Planning: Harnessing Large Language Models for Complex Information Extraction.
CoRR, 2024
CoRR, 2024
Tokenization Matters! Degrading Large Language Models through Challenging Their Tokenization.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Character is Destiny: Can Large Language Models Simulate Persona-Driven Decisions in Role-Playing?
CoRR, 2024
Enhancing Confidence Expression in Large Language Models Through Learning from Past Experience.
CoRR, 2024
Laying the Foundation First? Investigating the Generalization from Atomic Skills to Complex Reasoning Tasks.
CoRR, 2024
TDASD: Generating medically significant fine-grained lung adenocarcinoma nodule CT images based on stable diffusion models with limited sample size.
Comput. Methods Programs Biomed., 2024
Reason from Fallacy: Enhancing Large Language Models' Logical Reasoning through Logical Fallacy Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024
Enhancing Quantitative Reasoning Skills of Large Language Models through Dimension Perception.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Capturing Minds, Not Just Words: Enhancing Role-Playing Language Models with Personality-Indicative Data.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Is There a One-Model-Fits-All Approach to Information Extraction? Revisiting Task Definition Biases.
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
From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Improving Recall of Large Language Models: A Model Collaboration Approach for Relational Triple Extraction.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Source Prompt: Coordinated Pre-training of Language Models on Diverse Corpora from Multiple Sources.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Light Up the Shadows: Enhance Long-Tailed Entity Grounding with Concept-Guided Vision-Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
ANALOGYKB: Unlocking Analogical Reasoning of Language Models with A Million-scale Knowledge Base.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Do Large Language Models have Problem-Solving Capability under Incomplete Information Scenarios?
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
EASC: An exception-aware semantic compression framework for real-world knowledge graphs.
Knowl. Based Syst., October, 2023
IEEE Trans. Knowl. Data Eng., September, 2023
Source Prompt: Coordinated Pre-training of Language Models on Diverse Corpora from Multiple Sources.
CoRR, 2023
KnowledGPT: Enhancing Large Language Models with Retrieval and Storage Access on Knowledge Bases.
CoRR, 2023
Sem4SAP: Synonymous Expression Mining From Open Knowledge Graph For Language Model Synonym-Aware Pretraining.
CoRR, 2023
BBT-Fin: Comprehensive Construction of Chinese Financial Domain Pre-trained Language Model, Corpus and Benchmark.
CoRR, 2023
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
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
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Knowl. Based Syst., 2022
CoRR, 2022
Artif. Intell., 2022
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the Database Systems for Advanced Applications, 2022
Visualizable or Non-visualizable? Exploring the Visualizability of Concepts in Multi-modal Knowledge Graph.
Proceedings of the Database Systems for Advanced Applications, 2022
Knowing What I Don't Know: A Generation Assisted Rejection Framework in Knowledge Base Question Answering.
Proceedings of the Database Systems for Advanced Applications, 2022
A Context-Enhanced Generate-then-Evaluate Framework for Chinese Abbreviation Prediction.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Can We Have Both Fish and Bear's Paw?: Improving Performance, Reliability, and both of them for Relation Extraction under Label Shift.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
A Context-Enhanced Transformer with Abbr-Recover Policy for Chinese Abbreviation Prediction.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022
2021
Large-Scale Multi-granular Concept Extraction Based on Machine Reading Comprehension.
Proceedings of the Semantic Web - ISWC 2021 - 20th International Semantic Web Conference, 2021
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
WebKE: Knowledge Extraction from Semi-structured Web with Pre-trained Markup Language Model.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
HacRED: A Large-Scale Relation Extraction Dataset Toward Hard Cases in Practical Applications.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 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 Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
2019
CN-DBpedia2: An Extraction and Verification Framework for Enriching Chinese Encyclopedia Knowledge Base.
Data Intell., 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Towards the Completion of a Domain-Specific Knowledge Base with Emerging Query Terms.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
Proceedings of the Database Systems for Advanced Applications, 2019
2018
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018
2017
IEEE Trans. Knowl. Data Eng., 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017
Proceedings of the 41st IEEE Annual Computer Software and Applications Conference, 2017
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Proceedings of the Database Systems for Advanced Applications, 2016