Jingping Liu

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026
EpochX: Building the Infrastructure for an Emergent Agent Civilization.
CoRR, March, 2026

QuantaAlpha: An Evolutionary Framework for LLM-Driven Alpha Mining.
CoRR, February, 2026

Spider-Sense: Intrinsic Risk Sensing for Efficient Agent Defense with Hierarchical Adaptive Screening.
CoRR, February, 2026

Controlled Self-Evolution for Algorithmic Code Optimization.
CoRR, January, 2026

VLExpan: A visual-enhanced LLM framework with inductive and deductive policies for entity set expansion.
Neural Networks, 2026

LogToP: Logic Tree-of-Program with Table Instruction-tuned LLMs for Controlled Logical Table-to-Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

DBEE: Dual-Path Biomedical Event Extraction with Large Language Model.
Proceedings of the Database Systems for Advanced Applications, 2026

Easy for Children, Hard for AI: The Limits of Multimodal LLMs in Early Childhood Learning.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
KG-o1: Enhancing Multi-hop Question Answering in Large Language Models via Knowledge Graph Integration.
CoRR, August, 2025

Decision Tree Extraction for Clinical Decision Support System With If-Else Pseudocode and PlanSelect Strategy.
IEEE J. Biomed. Health Informatics, May, 2025

DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models.
IEEE CAA J. Autom. Sinica, May, 2025

MSDiagnosis: A benchmark and framework for evaluating large language models in multi-step clinical diagnosis.
Knowl. Based Syst., 2025

Multi-HGNN: Multi-modal hypergraph neural networks for predicting missing reactions in metabolic networks.
Inf. Sci., 2025

MKGF: A multi-modal knowledge graph based RAG framework to enhance LVLMs for Medical visual question answering.
Neurocomputing, 2025

Towards Explainable Search Results in E-commerce.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

MedEureka: A Medical Domain Benchmark for Multi-Granularity and Multi-Data-Type Embedding-Based Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

I2CR: Intra- and Inter-modal Collaborative Reflections for Multimodal Entity Linking.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

CoT-Planner: Chain-of-Thoughts as the Content Planner for Few-shot Table-to-Text Generation Reduces the Hallucinations from LLMs.
Proceedings of the International Joint Conference on Neural Networks, 2025

PToco: Prefix-based Token-level Collaboration Enhances Reasoning for Multi-LLMs.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Flow2MDT: Automated Construction From Flowcharts to Medical Decision Trees.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

MedKCoT: A Knowledge-Guided Multi-Modal Chain-of-Thought Generation Framework for Medical Visual Question Answering.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

CMQCIC-Bench: A Chinese Benchmark for Evaluating Large Language Models in Medical Quality Control Indicator Calculation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Text-to-ES Bench: A Comprehensive Benchmark for Converting Natural Language to Elasticsearch Query.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Can Multimodal Large Language Models Understand Spatial Relations?
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

MinosEval: Distinguishing Factoid and Non-Factoid for Tailored Open-Ended QA Evaluation with LLMs.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

EMRs2CSP : Mining Clinical Status Pathway from Electronic Medical Records.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

IMQC: A Large Language Model Platform for Medical Quality Control.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
A Localization Algorithm for Underwater Acoustic Sensor Networks With Improved Newton Iteration and Simplified Kalman Filter.
IEEE Trans. Mob. Comput., December, 2024

A Bidirectional Extraction-Then-Evaluation Framework for Complex Relation Extraction.
IEEE Trans. Knowl. Data Eng., December, 2024

Exploiting Duality in Aspect Sentiment Triplet Extraction With Sequential Prompting.
IEEE Trans. Knowl. Data Eng., November, 2024

Don't Ignore the Drive of Curiosity: Rethinking Subtleties Between Universality of Commonsense Knowledge and Excellence of Large Language Models.
SN Comput. Sci., August, 2024

A Survey on Neural Data-to-Text Generation.
IEEE Trans. Knowl. Data Eng., April, 2024

A multi-view representation learning framework for commonsense knowledge bases.
Inf. Sci., 2024

Enhancing Chinese abbreviation prediction with LLM generation and contrastive evaluation.
Inf. Process. Manag., 2024

MSDiagnosis: An EMR-based Dataset for Clinical Multi-Step Diagnosis.
CoRR, 2024

A crossword solving system based on Monte Carlo tree search.
Artif. Intell., 2024

Exploiting Duality in Open Information Extraction with Predicate Prompt.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

CONSTRUCTURE: Benchmarking CONcept STRUCTUre REasoning for Multimodal Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

A Hierarchy-aware Entity Alignment Method for Educational Knowledge Graphs.
Proceedings of the Database Systems for Advanced Applications, 2024

Negation Triplet Extraction with Syntactic Dependency and Semantic Consistency.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Unexpected Phenomenon: LLMs' Spurious Associations in Information Extraction.
Proceedings of the Findings of the Association for Computational Linguistics, 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

RRNorm: A Novel Framework for Chinese Disease Diagnoses Normalization via LLM-Driven Terminology Component Recognition and Reconstruction.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Beyond Entities: A Large-Scale Multi-Modal Knowledge Graph with Triplet Fact Grounding.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Sweet Apple, company? or food? Adjective-centric commonsense knowledge acquisition with taxonomy-guided induction.
Knowl. Based Syst., November, 2023

Integration of multiple terminology bases: a multi-view alignment method using the hierarchical structure.
Bioinform., November, 2023

EASC: An exception-aware semantic compression framework for real-world knowledge graphs.
Knowl. Based Syst., October, 2023

SLR: A million-scale comprehensive crossword dataset for simultaneous learning and reasoning.
Neurocomputing, October, 2023

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

A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development.
IEEE CAA J. Autom. Sinica, May, 2023

A co-adaptive duality-aware framework for biomedical relation extraction.
Bioinform., May, 2023

Inference of isA commonsense knowledge with lexical taxonomy.
Appl. Intell., March, 2023

Design of Miniaturized Wideband Beam Deflection Conformal Array Antenna.
Sensors, January, 2023

A Contrastive Compositional Benchmark for Text-to-Image Synthesis: A Study with Unified Text-to-Image Fidelity Metrics.
CoRR, 2023

GANTEE: Generative Adversatial Network for Taxonomy Entering Evaluation.
CoRR, 2023

What Image do You Need? A Two-stage Framework for Image Selection in E-commerce.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

MA-MRC: A Multi-answer Machine Reading Comprehension Dataset.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

MMpedia: A Large-Scale Multi-modal Knowledge Graph.
Proceedings of the Semantic Web - ISWC 2023, 2023

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

M3PT: A Multi-Modal Model for POI Tagging.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

QUERT: Continual Pre-training of Language Model for Query Understanding in Travel Domain Search.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

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

Hierarchical Prompt Tuning for Few-Shot Multi-Task Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

AF Adapter: Continual Pretraining for Building Chinese Biomedical Language Model.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Design of Four-Triangle High-Gain Miniaturized Microstrip Antenna Array.
Proceedings of the VTS Asia Pacific Wireless Communications Symposium, 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
Research on Fast Negative Entropy Deconvolution of Anti-Suppressive Jamming in Carrier-Free Ultrawideband Measuring System.
IEEE Trans. Instrum. Meas., 2022

Entity understanding with hierarchical graph learning for enhanced text classification.
Knowl. Based Syst., 2022

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

An improved DV-Hop algorithm for wireless sensor networks based on neural dynamics.
Neurocomputing, 2022

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

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

A Sequence-to-Sequence Model for Large-scale Chinese Abbreviation Database Construction.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 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

Parsing Natural Language into Propositional and First-Order Logic with Dual Reinforcement Learning.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

A Context-Enhanced Generate-then-Evaluate Framework for Chinese Abbreviation Prediction.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Commonsense Knowledge Base Completion with Relational Graph Attention Network and Pre-trained Language Model.
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

CFC: a Cascade Forest approach to discover Cancer driver genes using multi-omics data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Crossword Puzzle Resolution via Monte Carlo Tree Search.
Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

2021
Rapid Mapping of Large-Scale Greenhouse Based on Integrated Learning Algorithm and Google Earth Engine.
Remote. Sens., 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
CapableOf Reasoning: A Step Towards Commonsense Oracle.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Mining Verb-Oriented Commonsense Knowledge.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019
Relation Extraction Using Supervision from Topic Knowledge of Relation Labels.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 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

Deep Short Text Classification with Knowledge Powered Attention.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019


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