Jiaqing Liang

Orcid: 0000-0003-0670-5602

According to our database1, Jiaqing Liang authored at least 97 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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2024
2025
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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

QUILL: Quotation Generation Enhancement of Large Language Models.
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

Past Meets Present: Creating Historical Analogy with Large Language Models.
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

Teaching Large Language Models to Express Knowledge Boundary from Their Own Signals.
CoRR, 2024

Tokenization Matters! Degrading Large Language Models through Challenging Their Tokenization.
CoRR, 2024

SED: Self-Evaluation Decoding Enhances Large Language Models for Better Generation.
CoRR, 2024

AutoCrawler: A Progressive Understanding Web Agent for Web Crawler Generation.
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

Large Language Model Can Continue Evolving From Mistakes.
CoRR, 2024

Laying the Foundation First? Investigating the Generalization from Atomic Skills to Complex Reasoning Tasks.
CoRR, 2024

ConcEPT: Concept-Enhanced Pre-Training for Language Models.
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

A crossword solving system based on Monte Carlo tree search.
Artif. Intell., 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

KnowLog: Knowledge Enhanced Pre-trained Language Model for Log Understanding.
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

A Novel Cascade Instruction Tuning Method for Biomedical NER.
Proceedings of the IEEE International Conference on Acoustics, 2024

SEGMENT+: Long Text Processing with Short-Context Language Models.
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

AutoScraper: A Progressive Understanding Web Agent for Web Scraper Generation.
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

ToNER: Type-oriented Named Entity Recognition with Generative Language Model.
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

Effective In-Context Learning for Named Entity Recognition.
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

CR-LLM: A Dataset and Optimization for Concept Reasoning of Large Language Models.
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

Can Large Language Models Understand Real-World Complex Instructions?
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Small Language Model Can Self-Correct.
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

Noun Compound Interpretation With Relation Classification and Paraphrasing.
IEEE Trans. Knowl. Data Eng., September, 2023

Prototypical Concept Representation.
IEEE Trans. Knowl. Data Eng., July, 2023

Towards Fine-Grained Concept Generation.
IEEE Trans. Knowl. Data Eng., 2023

Source Prompt: Coordinated Pre-training of Language Models on Diverse Corpora from Multiple Sources.
CoRR, 2023

Can Large Language Models Understand Real-World Complex Instructions?
CoRR, 2023

KnowledGPT: Enhancing Large Language Models with Retrieval and Storage Access on Knowledge Bases.
CoRR, 2023

GANTEE: Generative Adversatial Network for Taxonomy Entering Evaluation.
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

Can Pre-trained Language Models Understand Chinese Humor?
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Towards Visual Taxonomy Expansion.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

ShellGPT: Generative Pre-trained Transformer Model for Shell Language Understanding.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

HTMapper: Bidirectional Head-Tail Mapping for Nested Named Entity Recognition.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Causality-aware Concept Extraction based on Knowledge-guided Prompting.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Adaptive Ordered Information Extraction with Deep Reinforcement Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

HAUSER: Towards Holistic and Automatic Evaluation of Simile Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

MAPS-KB: A Million-Scale Probabilistic Simile Knowledge Base.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

GANTEE: Generative Adversarial Network for Taxonomy Enterance Evaluation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

End-to-End Entity Linking with Hierarchical Reinforcement Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Rule mining over knowledge graphs via reinforcement learning.
Knowl. Based Syst., 2022

FL-Tuning: Layer Tuning for Feed-Forward Network in Transformer.
CoRR, 2022

Tackling Math Word Problems with Fine-to-Coarse Abstracting and Reasoning.
CoRR, 2022

Semantic-based Data Augmentation for Math Word Problems.
CoRR, 2022

VoCSK: Verb-oriented commonsense knowledge mining with taxonomy-guided induction.
Artif. Intell., 2022

Harvesting More Answer Spans from Paragraph beyond Annotation.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Language Models as Knowledge Embeddings.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Generative Entity Typing with Curriculum Learning.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Semantic-Based Data Augmentation for Math Word Problems.
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

Crossword Puzzle Resolution via Monte Carlo Tree Search.
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

Bootstrapping Information Extraction via Conceptualization.
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

Revisiting the Negative Data of Distantly Supervised Relation Extraction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Learning Term Embeddings for Lexical Taxonomies.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Collective Loss Function for Positive and Unlabeled Learning.
CoRR, 2020

2019
CN-DBpedia2: An Extraction and Verification Framework for Enriching Chinese Encyclopedia Knowledge Base.
Data Intell., 2019

Relation Extraction Using Supervision from Topic Knowledge of Relation Labels.
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

CN-Probase: A Data-Driven Approach for Large-Scale Chinese Taxonomy Construction.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Hierarchical Conceptual Labeling.
Proceedings of the Database Systems for Advanced Applications, 2019

2018
Short Text Entity Linking with Fine-grained Topics.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Social Tag Embedding for the Recommendation with Sparse User-Item Interactions.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017
Probase+: Inferring Missing Links in Conceptual Taxonomies.
IEEE Trans. Knowl. Data Eng., 2017

How to Keep a Knowledge Base Synchronized with Its Encyclopedia Source.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

CN-DBpedia: A Never-Ending Chinese Knowledge Extraction System.
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

XMLValue: XML Configuration Attribute Value Recommendation.
Proceedings of the 41st IEEE Annual Computer Software and Applications Conference, 2017

Automatic Navbox Generation by Interpretable Clustering over Linked Entities.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

On the Transitivity of Hypernym-Hyponym Relations in Data-Driven Lexical Taxonomies.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Graph-Based Wrong IsA Relation Detection in a Large-Scale Lexical Taxonomy.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Cross-Lingual Type Inference.
Proceedings of the Database Systems for Advanced Applications, 2016


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