Cross-Lingual Type Inference. - Bo Xu 023; Yi Zhang; Jiaqing Liang; Yanghua Xiao; Seung-won Hwang; Wei Wang 009 (DASFAA (1), 2016)

Graph-Based Wrong IsA Relation Detection in a Large-Scale Lexical Taxonomy. - Jiaqing Liang; Yanghua Xiao; Yi Zhang; Seung-won Hwang; Haixun Wang (AAAI, 2017)

On the Transitivity of Hypernym-Hyponym Relations in Data-Driven Lexical Taxonomies. - Jiaqing Liang; Yi Zhang; Yanghua Xiao; Haixun Wang; Wei Wang 009; Pinpin Zhu (AAAI, 2017)

Automatic Navbox Generation by Interpretable Clustering over Linked Entities. - Chenhao Xie 002; Lihan Chen; Jiaqing Liang; Kezun Zhang; Yanghua Xiao; Hanghang Tong; Haixun Wang; Wei Wang 009 (CIKM, 2017)

XMLValue: XML Configuration Attribute Value Recommendation. - Yiqi Lu; Jiaqing Liang; Yanghua Xiao; Sheng Huang; Deqing Yang; Wei Wang 009; Haibo Lin (COMPSAC (1), 2017)

CN-DBpedia: A Never-Ending Chinese Knowledge Extraction System. - Bo Xu 023; Yong Xu; Jiaqing Liang; Chenhao Xie 002; Bin Liang; Wanyun Cui; Yanghua Xiao (IEA/AIE (2), 2017)

How to Keep a Knowledge Base Synchronized with Its Encyclopedia Source. - Jiaqing Liang; Sheng Zhang 027; Yanghua Xiao (IJCAI, 2017)

Probase+: Inferring Missing Links in Conceptual Taxonomies. - Jiaqing Liang; Yanghua Xiao; Haixun Wang; Yi Zhang; Wei Wang 009 (IEEE Trans. Knowl. Data Eng., 2017)

Social Tag Embedding for the Recommendation with Sparse User-Item Interactions. - Deqing Yang; Lihan Chen; Jiaqing Liang; Yanghua Xiao; Wei Wang 009 (ASONAM, 2018)

Short Text Entity Linking with Fine-grained Topics. - Lihan Chen; Jiaqing Liang; Chenhao Xie 002; Yanghua Xiao (CIKM, 2018)

Hierarchical Conceptual Labeling. - Haiyun Jiang; Cengguang Zhang; Deqing Yang; Yanghua Xiao; Jingping Liu; Jindong Chen; Chao Wang 095; Chenguang Li; Jiaqing Liang; Bin Liang; Wei Wang 009 (DASFAA (3), 2019)

CN-Probase: A Data-Driven Approach for Large-Scale Chinese Taxonomy Construction. - Jindong Chen; Ao Wang; Jiangjie Chen; Yanghua Xiao; Zhendong Chu; Jingping Liu; Jiaqing Liang; Wei Wang 009 (ICDE, 2019)

Towards the Completion of a Domain-Specific Knowledge Base with Emerging Query Terms. - Sihang Jiang; Jiaqing Liang; Yanghua Xiao; Haihong Tang; Hai-Kuan Huang; Jun Tan (ICDE, 2019)

Relation Extraction Using Supervision from Topic Knowledge of Relation Labels. - Haiyun Jiang; Li Cui; Zhe Xu; Deqing Yang; Jindong Chen; Chenguang Li; Jingping Liu; Jiaqing Liang; Chao Wang 095; Yanghua Xiao; Wei Wang 009 (IJCAI, 2019)

CN-DBpedia2: An Extraction and Verification Framework for Enriching Chinese Encyclopedia Knowledge Base. - Bo Xu 023; Jiaqing Liang; Chenhao Xie 002; Bin Liang; Lihan Chen; Yanghua Xiao (Data Intell., 2019)

Collective Loss Function for Positive and Unlabeled Learning. - Chenhao Xie 002; Qiao Cheng 005; Jiaqing Liang; Lihan Chen; Yanghua Xiao (CoRR, 2020)

Learning Term Embeddings for Lexical Taxonomies. - Jingping Liu; Menghui Wang; Chao Wang 095; Jiaqing Liang; Lihan Chen; Haiyun Jiang; Yanghua Xiao; Yunwen Chen (AAAI, 2021)

Revisiting the Negative Data of Distantly Supervised Relation Extraction. - Chenhao Xie 002; Jiaqing Liang; Jingping Liu; Chengsong Huang; Wenhao Huang; Yanghua Xiao (ACL/IJCNLP (1), 2021)

HacRED: A Large-Scale Relation Extraction Dataset Toward Hard Cases in Practical Applications. - Qiao Cheng 005; Juntao Liu; Xiaoye Qu; Jin Zhao 004; Jiaqing Liang; Zhefeng Wang 001; Baoxing Huai; Nicholas Jing Yuan; Yanghua Xiao (ACL/IJCNLP (Findings), 2021)

WebKE: Knowledge Extraction from Semi-structured Web with Pre-trained Markup Language Model. - Chenhao Xie 002; Wenhao Huang; Jiaqing Liang; Chengsong Huang; Yanghua Xiao (CIKM, 2021)

Bootstrapping Information Extraction via Conceptualization. - Jiaqing Liang; Suo Feng; Chenhao Xie 002; Yanghua Xiao; Jindong Chen; Seung-won Hwang (ICDE, 2021)

Large-Scale Multi-granular Concept Extraction Based on Machine Reading Comprehension. - Siyu Yuan; Deqing Yang; Jiaqing Liang; Jilun Sun; Jingyue Huang; Kaiyan Cao; Yanghua Xiao; Rui Xie 005 (ISWC, 2021)

Crossword Puzzle Resolution via Monte Carlo Tree Search. - Lihan Chen; Jingping Liu; Sihang Jiang; Chao Wang 095; Jiaqing Liang; Yanghua Xiao; Sheng Zhang 027; Rui Song 006 (ICAPS, 2022)

A Context-Enhanced Transformer with Abbr-Recover Policy for Chinese Abbreviation Prediction. - Kaiyan Cao; Deqing Yang; Jingping Liu; Jiaqing Liang; Yanghua Xiao; Feng Wei; Baohua Wu; Quan Lu (CIKM, 2022)

Can We Have Both Fish and Bear's Paw?: Improving Performance, Reliability, and both of them for Relation Extraction under Label Shift. - Yu Hong; Zhixu Li; Jianfeng Qu; Jiaqing Liang; Yi Luo; Miyu Zhang; Yanghua Xiao; Wei Wang 009 (CIKM, 2022)

A Context-Enhanced Generate-then-Evaluate Framework for Chinese Abbreviation Prediction. - Hanwen Tong; Chenhao Xie 002; Jiaqing Liang; Qianyu He; Zhiang Yue; Jingping Liu; Yanghua Xiao; Wenguang Wang (CIKM, 2022)

Knowing What I Don't Know: A Generation Assisted Rejection Framework in Knowledge Base Question Answering. - Junyang Huang; Xuantao Lu; Jiaqing Liang; Qiaoben Bao; Chen Huang; Yanghua Xiao; Bang Liu; Yunwen Chen (DASFAA (3), 2022)

Visualizable or Non-visualizable? Exploring the Visualizability of Concepts in Multi-modal Knowledge Graph. - Xueyao Jiang; Ailisi Li; Jiaqing Liang; Bang Liu; Rui Xie 005; Wei Wu 014; Zhixu Li; Yanghua Xiao (DASFAA (1), 2022)

Semantic-Based Data Augmentation for Math Word Problems. - Ailisi Li; Yanghua Xiao; Jiaqing Liang; Yunwen Chen (DASFAA (3), 2022)

Generative Entity Typing with Curriculum Learning. - Siyu Yuan; Deqing Yang; Jiaqing Liang; Zhixu Li; Jinxi Liu; Jingyue Huang; Yanghua Xiao (EMNLP, 2022)

Language Models as Knowledge Embeddings. - Xintao Wang 001; Qianyu He; Jiaqing Liang; Yanghua Xiao (IJCAI, 2022)

Harvesting More Answer Spans from Paragraph beyond Annotation. - Qiaoben Bao; Jiangjie Chen; Linfang Liu; Jingping Liu; Jiaqing Liang; Yanghua Xiao (WSDM, 2022)

VoCSK: Verb-oriented commonsense knowledge mining with taxonomy-guided induction. - Jingping Liu; Tao Chen 019; Chao Wang 095; Jiaqing Liang; Lihan Chen; Yanghua Xiao; Yunwen Chen; Ke Jin (Artif. Intell., 2022)

Semantic-based Data Augmentation for Math Word Problems. - Ailisi Li; Jiaqing Liang; Yanghua Xiao (CoRR, 2022)

Tackling Math Word Problems with Fine-to-Coarse Abstracting and Reasoning. - Ailisi Li; Xueyao Jiang; Bang Liu; Jiaqing Liang; Yanghua Xiao (CoRR, 2022)

FL-Tuning: Layer Tuning for Feed-Forward Network in Transformer. - Jingping Liu; Yuqiu Song; Kui Xue; Hongli Sun; Chao Wang 095; Lihan Chen; Haiyun Jiang; Jiaqing Liang; Tong Ruan (CoRR, 2022)

Rule mining over knowledge graphs via reinforcement learning. - Lihan Chen; Sihang Jiang; Jingping Liu; Chao Wang 095; Sheng Zhang 027; Chenhao Xie 002; Jiaqing Liang; Yanghua Xiao; Rui Song 006 (Knowl. Based Syst., 2022)

End-to-End Entity Linking with Hierarchical Reinforcement Learning. - Lihan Chen; Tinghui Zhu; Jingping Liu; Jiaqing Liang; Yanghua Xiao (AAAI, 2023)

GANTEE: Generative Adversarial Network for Taxonomy Enterance Evaluation. - Zhouhong Gu; Sihang Jiang; Jingping Liu; Yanghua Xiao; Hongwei Feng; Zhixu Li; Jiaqing Liang; Jian Zhong (AAAI, 2023)

MAPS-KB: A Million-Scale Probabilistic Simile Knowledge Base. - Qianyu He; Xintao Wang 001; Jiaqing Liang; Yanghua Xiao (AAAI, 2023)

HAUSER: Towards Holistic and Automatic Evaluation of Simile Generation. - Qianyu He; Yikai Zhang 004; Jiaqing Liang; Yuncheng Huang; Yanghua Xiao; Yunwen Chen (ACL (1), 2023)

Adaptive Ordered Information Extraction with Deep Reinforcement Learning. - Wenhao Huang; Jiaqing Liang; Zhixu Li; Yanghua Xiao; Chuanjun Ji (ACL (Findings), 2023)

Causality-aware Concept Extraction based on Knowledge-guided Prompting. - Siyu Yuan; Deqing Yang; Jinxi Liu; Shuyu Tian; Jiaqing Liang; Yanghua Xiao; Rui Xie 005 (ACL (1), 2023)

HTMapper: Bidirectional Head-Tail Mapping for Nested Named Entity Recognition. - Jin Zhao 004; Zhixu Li; Yanghua Xiao; Jiaqing Liang; Jingping Liu (CIKM, 2023)

ShellGPT: Generative Pre-trained Transformer Model for Shell Language Understanding. - Jie Shi; Sihang Jiang; Bo Xu 023; Jiaqing Liang; Yanghua Xiao; Wei Wang 009 (ISSRE, 2023)

Towards Visual Taxonomy Expansion. - Tinghui Zhu; Jingping Liu; Jiaqing Liang; Haiyun Jiang; Yanghua Xiao; Zongyu Wang; Rui Xie 005; Yunsen Xian (ACM Multimedia, 2023)

Can Pre-trained Language Models Understand Chinese Humor? - Yuyan Chen; Zhixu Li; Jiaqing Liang; Yanghua Xiao; Bang Liu; Yunwen Chen (WSDM, 2023)

BBT-Fin: Comprehensive Construction of Chinese Financial Domain Pre-trained Language Model, Corpus and Benchmark. - Dakuan Lu; Hengkui Wu; Jiaqing Liang; Yipei Xu; Qianyu He; Yipeng Geng; Mengkun Han; Yingsi Xin; Yanghua Xiao (CoRR, 2023)

Sem4SAP: Synonymous Expression Mining From Open Knowledge Graph For Language Model Synonym-Aware Pretraining. - Zhouhong Gu; Sihang Jiang; Wenhao Huang; Jiaqing Liang; Hongwei Feng; Yanghua Xiao (CoRR, 2023)

GANTEE: Generative Adversatial Network for Taxonomy Entering Evaluation. - Zhouhong Gu; Sihang Jiang; Jingping Liu; Yanghua Xiao; Hongwei Feng; Zhixu Li; Jiaqing Liang; Jian Zhong (CoRR, 2023)

KnowledGPT: Enhancing Large Language Models with Retrieval and Storage Access on Knowledge Bases. - Xintao Wang 001; Qianwen Yang; Yongting Qiu; Jiaqing Liang; Qianyu He; Zhouhong Gu; Yanghua Xiao; Wei Wang 009 (CoRR, 2023)

Can Large Language Models Understand Real-World Complex Instructions? - Qianyu He; Jie Zeng 003; Wenhao Huang; Lina Chen; Jin Xiao; Qianxi He; Xunzhe Zhou; Lida Chen; Xintao Wang 001; Yuncheng Huang; Haoning Ye; Zihan Li; et al. (CoRR, 2023)

Source Prompt: Coordinated Pre-training of Language Models on Diverse Corpora from Multiple Sources. - Yipei Xu; Dakuan Lu; Jiaqing Liang; Xintao Wang 001; Yipeng Geng; Yingsi Xin; Hengkui Wu; Ken Chen; ruiji zhang; Yanghua Xiao (CoRR, 2023)

Towards Fine-Grained Concept Generation. - Chenguang Li; Jiaqing Liang; Yanghua Xiao; Haiyun Jiang (IEEE Trans. Knowl. Data Eng., 2023)

Prototypical Concept Representation. - Xintao Wang 001; Jiaqing Liang; Yanghua Xiao; Wei Wang 009 (IEEE Trans. Knowl. Data Eng., 2023)

Noun Compound Interpretation With Relation Classification and Paraphrasing. - Jingping Liu; Juntao Liu; Lihan Chen; Jiaqing Liang; Yanghua Xiao; Huimin Xu; Fubao Zhang; Zongyu Wang; Rui Xie 005 (IEEE Trans. Knowl. Data Eng., 2023)

EASC: An exception-aware semantic compression framework for real-world knowledge graphs. - Sihang Jiang; Jianchuan Feng; Chao Wang 095; Jingping Liu; Zhuozhi Xiong; Chaofeng Sha; Weiguo Zheng; Jiaqing Liang; Yanghua Xiao (Knowl. Based Syst., 2023)

Small Language Model Can Self-Correct. - Haixia Han; Jiaqing Liang; Jie Shi; Qianyu He; Yanghua Xiao (AAAI, 2024)

Can Large Language Models Understand Real-World Complex Instructions? - Qianyu He; Jie Zeng 003; Wenhao Huang; Lina Chen; Jin Xiao; Qianxi He; Xunzhe Zhou; Jiaqing Liang; Yanghua Xiao (AAAI, 2024)

Do Large Language Models have Problem-Solving Capability under Incomplete Information Scenarios? - Yuyan Chen; Yueze Li; Songzhou Yan; Sijia Liu; Jiaqing Liang; Yanghua Xiao (ACL (Findings), 2024)

CR-LLM: A Dataset and Optimization for Concept Reasoning of Large Language Models. - Nianqi Li; Jingping Liu; Sihang Jiang; Haiyun Jiang; Yanghua Xiao; Jiaqing Liang; Zujie Liang; Feng Wei; Jinglei Chen; Zhenghong Hao; Bing Han 017 (ACL (Findings), 2024)

ANALOGYKB: Unlocking Analogical Reasoning of Language Models with A Million-scale Knowledge Base. - Siyu Yuan; Jiangjie Chen; Changzhi Sun; Jiaqing Liang; Yanghua Xiao; Deqing Yang (ACL (1), 2024)

Light Up the Shadows: Enhance Long-Tailed Entity Grounding with Concept-Guided Vision-Language Models. - Yikai Zhang 004; Qianyu He; Xintao Wang 001; Siyu Yuan; Jiaqing Liang; Yanghua Xiao (ACL (Findings), 2024)

Effective In-Context Learning for Named Entity Recognition. - Jin Zhao 004; Qian Guo; Jiaqing Liang; Zhixu Li; Yanghua Xiao (BIBM, 2024)

Source Prompt: Coordinated Pre-training of Language Models on Diverse Corpora from Multiple Sources. - Yipei Xu; Dakuan Lu; Jiaqing Liang; Jin Zhao 004; Xintao Wang 001; Hengkui Wu; Ken Chen; Liujiang Liu; Yingsi Xin; Xuepeng Liu; Yanghua Xiao; Zhixu Li (CIKM, 2024)

Improving Recall of Large Language Models: A Model Collaboration Approach for Relational Triple Extraction. - Zepeng Ding; Wenhao Huang; Jiaqing Liang; Yanghua Xiao; Deqing Yang (LREC/COLING, 2024)

ToNER: Type-oriented Named Entity Recognition with Generative Language Model. - Guochao Jiang; Ziqin Luo; Yuchen Shi; Dixuan Wang; Jiaqing Liang; Deqing Yang (LREC/COLING, 2024)

From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large Language Models. - Qianyu He; Jie Zeng 003; Qianxi He; Jiaqing Liang; Yanghua Xiao (EMNLP (Findings), 2024)

AutoScraper: A Progressive Understanding Web Agent for Web Scraper Generation. - Wenhao Huang; Zhouhong Gu; Chenghao Peng; Jiaqing Liang; Zhixu Li; Yanghua Xiao; Liqian Wen; Zulong Chen (EMNLP, 2024)

Is There a One-Model-Fits-All Approach to Information Extraction? Revisiting Task Definition Biases. - Wenhao Huang; Qianyu He; Zhixu Li; Jiaqing Liang; Yanghua Xiao (EMNLP (Findings), 2024)

Capturing Minds, Not Just Words: Enhancing Role-Playing Language Models with Personality-Indicative Data. - Yiting Ran; Xintao Wang 001; Rui Xu 026; Xinfeng Yuan; Jiaqing Liang; Yanghua Xiao; Deqing Yang (EMNLP (Findings), 2024)

SEGMENT+: Long Text Processing with Short-Context Language Models. - Wei Shi; Shuang Li; Kerun Yu; Jinglei Chen; Zujie Liang; Xinhui Wu; Yuxi Qian; Feng Wei; Bo Zheng; Jiaqing Liang; Jiangjie Chen; Yanghua Xiao (EMNLP, 2024)

A Novel Cascade Instruction Tuning Method for Biomedical NER. - Jin Zhao 004; Chao Liu; Jiaqing Liang; Zhixu Li; Yanghua Xiao (ICASSP, 2024)

Enhancing Quantitative Reasoning Skills of Large Language Models through Dimension Perception. - Yuncheng Huang; Qianyu He; Jiaqing Liang; Sihang Jiang; Yanghua Xiao; Yunwen Chen (ICDE, 2024)

KnowLog: Knowledge Enhanced Pre-trained Language Model for Log Understanding. - Lipeng Ma; Weidong Yang 001; Bo Xu 023; Sihang Jiang; Ben Fei; Jiaqing Liang; Mingjie Zhou; Yanghua Xiao (ICSE, 2024)

Reason from Fallacy: Enhancing Large Language Models' Logical Reasoning through Logical Fallacy Understanding. - Yanda Li; Dixuan Wang; Jiaqing Liang; Guochao Jiang; Qianyu He; Yanghua Xiao; Deqing Yang (NAACL-HLT (Findings), 2024)

A crossword solving system based on Monte Carlo tree search. - Jingping Liu; Lihan Chen; Sihang Jiang; Chao Wang 095; Sheng Zhang 027; Jiaqing Liang; Yanghua Xiao; Rui Song 006 (Artif. Intell., 2024)

TDASD: Generating medically significant fine-grained lung adenocarcinoma nodule CT images based on stable diffusion models with limited sample size. - Yidan Xu; Jiaqing Liang; Yaoyao Zhuo; Lei Liu; Yanghua Xiao; Lingxiao Zhou (Comput. Methods Programs Biomed., 2024)

ConcEPT: Concept-Enhanced Pre-Training for Language Models. - Xintao Wang 001; Zhouhong Gu; Jiaqing Liang; Dakuan Lu; Yanghua Xiao; Wei Wang 009 (CoRR, 2024)

Laying the Foundation First? Investigating the Generalization from Atomic Skills to Complex Reasoning Tasks. - Yuncheng Huang; Qianyu He; Yipei Xu; Jiaqing Liang; Yanghua Xiao (CoRR, 2024)

Large Language Model Can Continue Evolving From Mistakes. - Haokun Zhao; Haixia Han; Jie Shi; Chengyu Du; Jiaqing Liang; Yanghua Xiao (CoRR, 2024)

Enhancing Confidence Expression in Large Language Models Through Learning from Past Experience. - Haixia Han; Tingyun Li; Shisong Chen; Jie Shi; Chengyu Du; Yanghua Xiao; Jiaqing Liang; Xin Lin 001 (CoRR, 2024)

Character is Destiny: Can Large Language Models Simulate Persona-Driven Decisions in Role-Playing? - Rui Xu 026; Xintao Wang 001; Jiangjie Chen; Siyu Yuan; Xinfeng Yuan; Jiaqing Liang; Zulong Chen; Xiaoqing Dong; Yanghua Xiao (CoRR, 2024)

AutoCrawler: A Progressive Understanding Web Agent for Web Crawler Generation. - Wenhao Huang; Chenghao Peng; Zhixu Li; Jiaqing Liang; Yanghua Xiao; Liqian Wen; Zulong Chen (CoRR, 2024)

SED: Self-Evaluation Decoding Enhances Large Language Models for Better Generation. - Ziqin Luo; Haixia Han; Haokun Zhao; Guochao Jiang; Chengyu Du; Tingyun Li; Jiaqing Liang; Deqing Yang; Yanghua Xiao (CoRR, 2024)

Tokenization Matters! Degrading Large Language Models through Challenging Their Tokenization. - Dixuan Wang; Yanda Li; Junyuan Jiang; Zepeng Ding; Guochao Jiang; Jiaqing Liang; Deqing Yang (CoRR, 2024)

Teaching Large Language Models to Express Knowledge Boundary from Their Own Signals. - Lida Chen; Zujie Liang; Xintao Wang 001; Jiaqing Liang; Yanghua Xiao; Feng Wei; Jinglei Chen; Zhenghong Hao; Bing Han 017; Wei Wang 009 (CoRR, 2024)

Adaptive Reinforcement Learning Planning: Harnessing Large Language Models for Complex Information Extraction. - Zepeng Ding; Ruiyang Ke; Wenhao Huang; Guochao Jiang; Yanda Li; Deqing Yang; Yanghua Xiao; Jiaqing Liang (CoRR, 2024)

Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs. - Yifei Zhang; Xintao Wang 001; Jiaqing Liang; Sirui Xia; Lida Chen; Yanghua Xiao (CoRR, 2024)

Do Large Language Models have Problem-Solving Capability under Incomplete Information Scenarios? - Yuyan Chen; Tianhao Yu; Yueze Li; Songzhou Yan; Sijia Liu; Jiaqing Liang; Yanghua Xiao (CoRR, 2024)

EDGE: Enhanced Grounded GUI Understanding with Enriched Multi-Granularity Synthetic Data. - Xuetian Chen; Hangcheng Li; Jiaqing Liang; Sihang Jiang; Deqing Yang (CoRR, 2024)

QUILL: Quotation Generation Enhancement of Large Language Models. - Jin Xiao; Bowei Zhang; Qianyu He; Jiaqing Liang; Feng Wei; Jinglei Chen; Zujie Liang; Deqing Yang; Yanghua Xiao (CoRR, 2024)

MultiLingPoT: Enhancing Mathematical Reasoning with Multilingual Program Fine-tuning. - Nianqi Li; Zujie Liang; Siyu Yuan; Jiaqing Liang; Feng Wei; Yanghua Xiao (CoRR, 2024)

Past Meets Present: Creating Historical Analogy with Large Language Models. - Nianqi Li; Siyu Yuan; Jiangjie Chen; Jiaqing Liang; Feng Wei; Zujie Liang; Deqing Yang; Yanghua Xiao (ACL (1), 2025)

BOOKWORLD: From Novels to Interactive Agent Societies for Story Creation. - Yiting Ran; Xintao Wang 001; Tian Qiu; Jiaqing Liang; Yanghua Xiao; Deqing Yang (ACL (1), 2025)

Step-by-Step Mastery: Enhancing Soft Constraint Following Ability of Large Language Models. - Qingyu Ren; Jie Zeng 003; Qianyu He; Jiaqing Liang; Yanghua Xiao; Weikang Zhou; Zeye Sun; Fei Yu (ACL (Findings), 2025)

Logical Consistency is Vital: Neural-Symbolic Information Retrieval for Negative-Constraint Queries. - Ganlin Xu; Zhoujia Zhang; Wangyi Mei; Jiaqing Liang; Weijia Lu; Xiaodong Zhang; Zhifei Yang; Xiaofeng Ma; Yanghua Xiao; Deqing Yang (ACL (Findings), 2025)

Order Matters: Investigate the Position Bias in Multi-constraint Instruction Following. - Jie Zeng 003; Qianyu He; Qingyu Ren; Jiaqing Liang; Weikang Zhou; Zeye Sun; Fei Yu; Yanghua Xiao (ACL (Findings), 2025)

CDS: Data Synthesis Method Guided by Cognitive Diagnosis Theory. - Haokun Zhao; Jinyi Han; Jiaqing Liang; Yanghua Xiao; Xiaojun Meng; Jiansheng Wei (ACL (Findings), 2025)

Gen-SQL: Efficient Text-to-SQL By Bridging Natural Language Question And Database Schema With Pseudo-Schema. - Jie Shi; Bo Xu 023; Jiaqing Liang; Yanghua Xiao; Jia Chen; Chenhao Xie 002; Peng Wang 027; Wei Wang 009 (COLING, 2025)

Do Not Say It Directly: Generating Indirect Expressions with Large Language Models. - Peng Yu; Tiehua Mei; Deqing Yang; Jiaqing Liang (ICIC (24), 2025)

Think Thrice Before You Act: Progressive Thought Refinement in Large Language Models. - Chengyu Du; Jinyi Han; Yizhou Ying; Aili Chen; Qianyu He; Haokun Zhao; Haoran Guo; Sirui Xia; Jiaqing Liang; Zulong Chen; Liangyue Li; Yanghua Xiao (ICLR, 2025)

Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation. - Sirui Xia; Xintao Wang 001; Jiaqing Liang; Yifei Zhang; Weikang Zhou; Jiaji Deng; Fei Yu; Yanghua Xiao (NAACL (Findings), 2025)

CDS: Data Synthesis Method Guided by Cognitive Diagnosis Theory. - Haokun Zhao; Jinyi Han; Jiaqing Liang; Yanghua Xiao (CoRR, 2025)

ChemHTS: Hierarchical Tool Stacking for Enhancing Chemical Agents. - Zhucong Li; Jin Xiao; Bowei Zhang; Zhijian Zhou; Qianyu He; Fenglei Cao; Jiaqing Liang; Yuan Qi (CoRR, 2025)

Order Doesn't Matter, But Reasoning Does: Training LLMs with Order-Centric Augmentation. - Qianxi He; Qianyu He; Jiaqing Liang; Yanghua Xiao; Weikang Zhou; Zeye Sun; Fei Yu (CoRR, 2025)

PowerAttention: Exponentially Scaling of Receptive Fields for Effective Sparse Attention. - Lida Chen; Dong Xu; Chenxin An; Xintao Wang 001; Yikai Zhang 004; Jiangjie Chen; Zujie Liang; Feng Wei; Jiaqing Liang; Yanghua Xiao; Wei Wang 009 (CoRR, 2025)

BookWorld: From Novels to Interactive Agent Societies for Creative Story Generation. - Yiting Ran; Xintao Wang 001; Tian Qiu; Jiaqing Liang; Yanghua Xiao; Deqing Yang (CoRR, 2025)

RLAP: A Reinforcement Learning Enhanced Adaptive Planning Framework for Multi-step NLP Task Solving. - Zepeng Ding; Dixuan Wang; Ziqin Luo; Guochao Jiang; Deqing Yang; Jiaqing Liang (CoRR, 2025)

ChemHAS: Hierarchical Agent Stacking for Enhancing Chemistry Tools. - Zhucong Li; Bowei Zhang; Jin Xiao; Zhijian Zhou; Fenglei Cao; Jiaqing Liang; Yuan Qi (CoRR, 2025)

GORACS: Group-level Optimal Transport-guided Coreset Selection for LLM-based Recommender Systems. - Tiehua Mei; Hengrui Chen; Peng Yu; Jiaqing Liang; Deqing Yang (CoRR, 2025)

OS-MAP: How Far Can Computer-Using Agents Go in Breadth and Depth? - Xuetian Chen; Yinghao Chen; Xinfeng Yuan; Zhuo Peng; Lu Chen; Yuekeng Li; Zhoujia Zhang; Yingqian Huang; Leyan Huang; Jiaqing Liang; Tianbao Xie; Zhiyong Wu 003; et al. (CoRR, 2025)

Beyond the Trade-off: Self-Supervised Reinforcement Learning for Reasoning Models' Instruction Following. - Qingyu Ren; Qianyu He; Bowei Zhang; Jie Zeng 003; Jiaqing Liang; Yanghua Xiao; Weikang Zhou; Zeye Sun; Fei Yu (CoRR, 2025)

Mind the Generation Process: Fine-Grained Confidence Estimation During LLM Generation. - Jinyi Han; Tingyun Li; Shisong Chen; Jie Shi; Xinyi Wang; Guanglei Yue; Jiaqing Liang; Xin Lin 001; Liqian Wen; Zulong Chen; Yanghua Xiao (CoRR, 2025)

A Stitch in Time Saves Nine: Proactive Self-Refinement for Language Models. - Jinyi Han; Xinyi Wang; Haiquan Zhao 002; Tingyun li; Zishang Jiang; Sihang Jiang; Jiaqing Liang; Xin Lin 001; Weikang Zhou; Zeye Sun; Fei Yu; Yanghua Xiao (CoRR, 2025)