Boosting to Build a Large-Scale Cross-Lingual Ontology. - Zhigang Wang; Liangming Pan; Juanzi Li; Shuangjie Li; Mingyang Li; Jie Tang 001 (CCKS, 2016)

Domain Specific Cross-Lingual Knowledge Linking Based on Similarity Flooding. - Liangming Pan; Zhigang Wang; Juanzi Li; Jie Tang 001 (KSEM, 2016)

RiMOM results for OAEI 2016. - Yan Zhang 004; Hailong Jin; Liangming Pan; Juan-Zi Li (OM@ISWC, 2016)

Prerequisite Relation Learning for Concepts in MOOCs. - Liangming Pan; Chengjiang Li; Juanzi Li; Jie Tang 001 (ACL (1), 2017)

Course Concept Extraction in MOOCs via Embedding-Based Graph Propagation. - Liangming Pan; Xiaochen Wang 002; Chengjiang Li; Juanzi Li; Jie Tang 001 (IJCNLP(1), 2017)

Predicting Concept-Based Research Trends with Rhetorical Framing. - Jifan Yu; Liangming Pan; Juanzi Li; Xiaoping Du (CCKS, 2018)

Condition Monitoring in a Power Module Using On-State Resistance and Case Temperature. - Wei Lai; Yuanpei Zhao; Minyou Chen; Yueyue Wang; Xueni Ding; Shengyou Xu; Liangming Pan (IEEE Access, 2018)

Resource Mention Extraction for MOOC Discussion Forums. - Ya-Hui An; Liangming Pan; Min-Yen Kan; Qiang Dong; Yan Fu (IEEE Access, 2019)

Recent Advances in Neural Question Generation. - Liangming Pan; Wenqiang Lei; Tat-Seng Chua; Min-Yen Kan (CoRR, 2019)

Zero-Shot Ingredient Recognition by Multi-Relational Graph Convolutional Network. - Jingjing Chen 001; Liangming Pan; Zhipeng Wei; Xiang Wang 010; Chong-Wah Ngo; Tat-Seng Chua (AAAI, 2020)

Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen. - Yixin Cao 002; Ruihao Shui; Liangming Pan; Min-Yen Kan; Zhiyuan Liu 001; Tat-Seng Chua (ACL, 2020)

Semantic Graphs for Generating Deep Questions. - Liangming Pan; Yuxi Xie; Yansong Feng 002; Tat-Seng Chua; Min-Yen Kan (ACL, 2020)

Exploring Question-Specific Rewards for Generating Deep Questions. - Yuxi Xie; Liangming Pan; Dongzhe Wang; Min-Yen Kan; Yansong Feng 002 (COLING, 2020)

Hyperbolic Visual Embedding Learning for Zero-Shot Recognition. - Shaoteng Liu; Jingjing Chen 001; Liangming Pan; Chong-Wah Ngo; Tat-Seng Chua; Yu-Gang Jiang 001 (CVPR, 2020)

Evaluation of College Students' Employment Quality Based on Analytic Hierarchy Process. - Li Shi; Liangming Pan (EBIMCS, 2020)

Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment. - Zhiyuan Liu 001; Yixin Cao 002; Liangming Pan; Juanzi Li; Tat-Seng Chua (EMNLP (1), 2020)

Multi-modal Cooking Workflow Construction for Food Recipes. - Liangming Pan; Jingjing Chen 001; Jianlong Wu; Shaoteng Liu; Chong-Wah Ngo; Min-Yen Kan; Yu-Gang Jiang 001; Tat-Seng Chua (ACM Multimedia, 2020)

KQA Pro: A Large Diagnostic Dataset for Complex Question Answering over Knowledge Base. - Jiaxin Shi; Shulin Cao; Liangming Pan; Yutong Xiang; Lei Hou 001; Juanzi Li; Hanwang Zhang; Bin He (CoRR, 2020)

Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment. - Zhiyuan Liu 010; Yixin Cao 002; Liangming Pan; Juanzi Li; Zhiyuan Liu 001; Tat-Seng Chua (CoRR, 2020)

Zero-shot Fact Verification by Claim Generation. - Liangming Pan; Wenhu Chen; Wenhan Xiong; Min-Yen Kan; William Yang Wang (ACL/IJCNLP (2), 2021)

Unsupervised Multi-hop Question Answering by Question Generation. - Liangming Pan; Wenhu Chen; Wenhan Xiong; Min-Yen Kan; William Yang Wang (NAACL-HLT, 2021)

Causally Estimating the Sensitivity of Neural NLP Models to Spurious Features. - Yunxiang Zhang 002; Liangming Pan; Samson Tan; Min-Yen Kan (CoRR, 2021)

ContraQA: Question Answering under Contradicting Contexts. - Liangming Pan; Wenhu Chen; Min-Yen Kan; William Yang Wang (CoRR, 2021)

A Hybrid Approach for Detecting Prerequisite Relations in Multi-Modal Food Recipes. - Liangming Pan; Jingjing Chen 001; Shaoteng Liu; Chong-Wah Ngo; Min-Yen Kan; Tat-Seng Chua (IEEE Trans. Multim., 2021)

Interpreting the Robustness of Neural NLP Models to Textual Perturbations. - Yunxiang Zhang 002; Liangming Pan; Samson Tan; Min-Yen Kan (ACL (Findings), 2022)

KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base. - Shulin Cao; Jiaxin Shi; Liangming Pan; Lunyiu Nie; Yutong Xiang; Lei Hou 001; Juanzi Li; Bin He; Hanwang Zhang (ACL (1), 2022)

CoHS-CQG: Context and History Selection for Conversational Question Generation. - Xuan Long Do; Bowei Zou; Liangming Pan; Nancy F. Chen; Shafiq R. Joty; Ai Ti Aw (COLING, 2022)

KHANQ: A Dataset for Generating Deep Questions in Education. - Huanli Gong; Liangming Pan; Hengchang Hu (COLING, 2022)

Food Nutrient Composition Analysis Based on Adaptive AP Clustering Algorithm. - Li Shi; Liangming Pan (ICIIP, 2022)

Ingredient-enriched Recipe Generation from Cooking Videos. - Jianlong Wu; Liangming Pan; Jingjing Chen 001; Yu-Gang Jiang 001 (ICMR, 2022)

Modeling and Leveraging Prerequisite Context in Recommendation. - Hengchang Hu; Liangming Pan; Yiding Ran; Min-Yen Kan (CoRR, 2022)

InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling. - Xiaobao Wu; Xinshuai Dong; Thong Nguyen 003; Chaoqun Liu; Liangming Pan; Anh Tuan Luu (AAAI, 2023)

Modeling What-to-ask and How-to-ask for Answer-unaware Conversational Question Generation. - Xuan Long Do; Bowei Zou; Shafiq R. Joty; Anh Tran Tai; Liangming Pan; Nancy F. Chen; Ai Ti Aw (ACL (1), 2023)

Fact-Checking Complex Claims with Program-Guided Reasoning. - Liangming Pan; Xiaobao Wu; Xinyuan Lu; Anh Tuan Luu; William Yang Wang; Min-Yen Kan; Preslav Nakov (ACL (1), 2023)

Doolittle: Benchmarks and Corpora for Academic Writing Formalization. - Shizhe Diao; Yongyu Lei; Liangming Pan; Tianqing Fang; Wangchunshu Zhou; Sedrick Scott Keh; Min-Yen Kan; Tong Zhang 001 (EMNLP, 2023)

SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables. - Xinyuan Lu; Liangming Pan; Qian Liu 012; Preslav Nakov; Min-Yen Kan (EMNLP, 2023)

MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models. - Deepak Nathani; David Wang; Liangming Pan; William Yang Wang (EMNLP, 2023)

Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning. - Liangming Pan; Alon Albalak; Xinyi Wang 003; William Yang Wang (EMNLP (Findings), 2023)

QACheck: A Demonstration System for Question-Guided Multi-Hop Fact-Checking. - Liangming Pan; Xinyuan Lu; Min-Yen Kan; Preslav Nakov (EMNLP (Demos), 2023)

On the Risk of Misinformation Pollution with Large Language Models. - Yikang Pan; Liangming Pan; Wenhu Chen; Preslav Nakov; Min-Yen Kan; William Yang Wang (EMNLP (Findings), 2023)

INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback. - Wenda Xu; Danqing Wang; Liangming Pan; Zhenqiao Song; Markus Freitag; William Wang 001; Lei Li 005 (EMNLP, 2023)

FollowupQG: Towards information-seeking follow-up question generation. - Yan Meng; Liangming Pan; Yixin Cao 002; Min-Yen Kan (IJCNLP (1), 2023)

Attacking Open-domain Question Answering by Injecting Misinformation. - Liangming Pan; Wenhu Chen; Min-Yen Kan; William Yang Wang (IJCNLP (1), 2023)

Investigating Zero- and Few-shot Generalization in Fact Verification. - Liangming Pan; Yunxiang Zhang 002; Min-Yen Kan (IJCNLP (1), 2023)

Hashtag-Guided Low-Resource Tweet Classification. - Shizhe Diao; Sedrick Scott Keh; Liangming Pan; Zhiliang Tian; Yan Song 003; Tong Zhang 001 (WWW, 2023)

Modeling What-to-ask and How-to-ask for Answer-unaware Conversational Question Generation. - Xuan Long Do; Bowei Zou; Shafiq R. Joty; Anh Tai Tran; Liangming Pan; Nancy F. Chen; Ai Ti Aw (CoRR, 2023)

Mitigating Language Model Hallucination with Interactive Question-Knowledge Alignment. - Shuo Zhang; Liangming Pan; Junzhou Zhao; William Yang Wang (CoRR, 2023)

Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models. - Alfonso Amayuelas; Liangming Pan; Wenhu Chen; William Yang Wang (CoRR, 2023)

Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies. - Liangming Pan; Michael Saxon; Wenda Xu; Deepak Nathani; Xinyi Wang 003; William Yang Wang (CoRR, 2023)

Factcheck-GPT: End-to-End Fine-Grained Document-Level Fact-Checking and Correction of LLM Output. - Yuxia Wang; Revanth Gangi Reddy; Zain Muhammad Mujahid; Arnav Arora; Aleksandr Rubashevskii; Jiahui Geng; Osama Mohammed Afzal; Liangming Pan; Nadav Borenstein; Aditya Pillai; Isabelle Augenstein; Iryna Gurevych; et al. (CoRR, 2023)

Efficient Online Data Mixing For Language Model Pre-Training. - Alon Albalak; Liangming Pan; Colin Raffel; William Yang Wang (CoRR, 2023)

Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models. - Alfonso Amayuelas; Kyle Wong; Liangming Pan; Wenhu Chen; William Yang Wang (ACL (Findings), 2024)

Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution. - Xinze Li; Yixin Cao 002; Liangming Pan; Yubo Ma; Aixin Sun (ACL (Findings), 2024)

Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion. - Xiaobao Wu; Xinshuai Dong; Liangming Pan; Thong Nguyen 003; Anh Tuan Luu (ACL (Findings), 2024)

Faithful Logical Reasoning via Symbolic Chain-of-Thought. - Jundong Xu; Hao Fei 001; Liangming Pan; Qian Liu 012; Mong-Li Lee; Wynne Hsu (ACL (1), 2024)

Pride and Prejudice: LLM Amplifies Self-Bias in Self-Refinement. - Wenda Xu; Guanglei Zhu; Xuandong Zhao; Liangming Pan; Lei Li 005; William Wang 001 (ACL (1), 2024)

The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models. - Shuo Zhang; Liangming Pan; Junzhou Zhao; William Yang Wang (ACL (Findings), 2024)

MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate. - Alfonso Amayuelas; Xianjun Yang; Antonis Antoniades; Wenyue Hua; Liangming Pan; William Yang Wang (EMNLP (Findings), 2024)

SciAgent: Tool-augmented Language Models for Scientific Reasoning. - Yubo Ma; Zhibin Gou; Junheng Hao; Ruochen Xu; Shuohang Wang; Liangming Pan; Yujiu Yang; Yixin Cao 002; Aixin Sun (EMNLP, 2024)

Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers. - Yuxia Wang; Revanth Gangi Reddy; Zain Muhammad Mujahid; Arnav Arora; Aleksandr Rubashevskii; Jiahui Geng; Osama Mohammed Afzal; Liangming Pan; Nadav Borenstein; Aditya Pillai; Isabelle Augenstein; Iryna Gurevych; et al. (EMNLP (Findings), 2024)

AKEW: Assessing Knowledge Editing in the Wild. - Xiaobao Wu; Liangming Pan; William Yang Wang; Anh Tuan Luu (EMNLP, 2024)

A Survey on Detection of LLMs-Generated Content. - Xianjun Yang; Liangming Pan; Xuandong Zhao; Haifeng Chen; Linda R. Petzold; William Yang Wang; Wei Cheng 002 (EMNLP (Findings), 2024)

Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation. - Xinyi Wang 003; Alfonso Amayuelas; Kexun Zhang; Liangming Pan; Wenhu Chen; William Yang Wang (ICML, 2024)

Position: AI/ML Influencers Have a Place in the Academic Process. - Iain Weissburg; Mehir Arora; Xinyi Wang 003; Liangming Pan; William Yang Wang (ICML, 2024)

MMLONGBENCH-DOC: Benchmarking Long-context Document Understanding with Visualizations. - Yubo Ma; Yuhang Zang; Liangyu Chen 005; Meiqi Chen 001; Yizhu Jiao; Xinze Li; Xinyuan Lu; Ziyu Liu; Yan Ma; Xiaoyi Dong; Pan Zhang 001; Liangming Pan; et al. (NeurIPS, 2024)

Tweets to Citations: Unveiling the Impact of Social Media Influencers on AI Research Visibility. - Iain Xie Weissburg; Mehir Arora; Liangming Pan; William Yang Wang (CoRR, 2024)

Perils of Self-Feedback: Self-Bias Amplifies in Large Language Models. - Wenda Xu; Guanglei Zhu; Xuandong Zhao; Liangming Pan; Lei Li 005; William Yang Wang (CoRR, 2024)

SciAgent: Tool-augmented Language Models for Scientific Reasoning. - Yubo Ma; Zhibin Gou; Junheng Hao; Ruochen Xu; Shuohang Wang; Liangming Pan; Yujiu Yang; Yixin Cao 002; Aixin Sun; Hany Hassan Awadalla; Weizhu Chen (CoRR, 2024)

Updating Language Models with Unstructured Facts: Towards Practical Knowledge Editing. - Xiaobao Wu; Liangming Pan; William Yang Wang; Anh Tuan Luu (CoRR, 2024)

DistiLRR: Transferring Code Repair for Low-Resource Programming Languages. - Kyle Wong; Alfonso Amayuelas; Liangming Pan; William Yang Wang (CoRR, 2024)

Gödel Agent: A Self-Referential Agent Framework for Recursive Self-Improvement. - Xunjian Yin; Xinyi Wang 003; Liangming Pan; Xiaojun Wan 001; William Yang Wang (CoRR, 2024)

Understanding the Interplay between Parametric and Contextual Knowledge for Large Language Models. - Sitao Cheng; Liangming Pan; Xunjian Yin; Xinyi Wang 003; William Yang Wang (CoRR, 2024)

COrAL: Order-Agnostic Language Modeling for Efficient Iterative Refinement. - Yuxi Xie; Anirudh Goyal; Xiaobao Wu; Xunjian Yin; Xiao Xu 005; Min-Yen Kan; Liangming Pan; William Yang Wang (CoRR, 2024)

Improving Causal Reasoning in Large Language Models: A Survey. - Siheng Xiong; Delin Chen; Qingyang Wu; Longxuan Yu; Qingzhen Liu; Dawei Li; Zhikai Chen; Xiaoze Liu; Liangming Pan (CoRR, 2024)

AntiLeak-Bench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge. - Xiaobao Wu; Liangming Pan; Yuxi Xie; Ruiwen Zhou; Shuai Zhao 007; Yubo Ma; Mingzhe Du; Rui Mao 010; Anh Tuan Luu; William Yang Wang (CoRR, 2024)

Automatically Correcting Large Language Models: Surveying the Landscape of Diverse Automated Correction Strategies. - Liangming Pan; Michael Saxon; Wenda Xu; Deepak Nathani; Xinyi Wang 003; William Yang Wang (Trans. Assoc. Comput. Linguistics, 2024)

A Survey on Data Selection for Language Models. - Alon Albalak; Yanai Elazar; Sang Michael Xie; Shayne Longpre; Nathan Lambert 001; Xinyi Wang 003; Niklas Muennighoff; Bairu Hou; Liangming Pan; Haewon Jeong; Colin Raffel; Shiyu Chang; et al. (Trans. Mach. Learn. Res., 2024)

Combating Multimodal LLM Hallucination via Bottom-Up Holistic Reasoning. - Shengqiong Wu; Hao Fei 001; Liangming Pan; William Yang Wang; Shuicheng Yan; Tat-Seng Chua (AAAI, 2025)

SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation. - Zijun Yao 002; Weijian Qi; Liangming Pan; Shulin Cao; Linmei Hu; Weichuan Liu; Lei Hou 001; Juanzi Li (ACL (1), 2025)

InductionBench: LLMs Fail in the Simplest Complexity Class. - Wenyue Hua; Tyler Wong; Fei Sun; Liangming Pan; Adam Jardine; William Yang Wang (ACL (1), 2025)

AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge. - Xiaobao Wu; Liangming Pan; Yuxi Xie; Ruiwen Zhou; Shuai Zhao 007; Yubo Ma; Mingzhe Du; Rui Mao 010; Anh Tuan Luu; William Yang Wang (ACL (1), 2025)

Aristotle: Mastering Logical Reasoning with A Logic-Complete Decompose-Search-Resolve Framework. - Jundong Xu; Hao Fei 001; Meng Luo 002; Qian Liu 012; Liangming Pan; William Yang Wang; Preslav Nakov; Mong-Li Lee; Wynne Hsu (ACL (1), 2025)

Gödel Agent: A Self-Referential Agent Framework for Recursively Self-Improvement. - Xunjian Yin; Xinyi Wang 003; Liangming Pan; Li Lin 014; Xiaojun Wan 001; William Yang Wang (ACL (1), 2025)

RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World Scenarios. - Ruiwen Zhou; Wenyue Hua; Liangming Pan; Sitao Cheng; Xiaobao Wu; En Yu; William Yang Wang (ACL (1), 2025)

TART: An Open-Source Tool-Augmented Framework for Explainable Table-based Reasoning. - Xinyuan Lu; Liangming Pan; Yubo Ma; Preslav Nakov; Min-Yen Kan (NAACL (Findings), 2025)

Investigating the Transferability of Code Repair for Low-Resource Programming Languages. - Kyle Wong; Alfonso Amayuelas; Liangming Pan; William Yang Wang (NAACL (Findings), 2025)

CausalEval: Towards Better Causal Reasoning in Language Models. - Longxuan Yu; Delin Chen; Siheng Xiong; Qingyang Wu; Dawei Li; Zhikai Chen; Xiaoze Liu; Liangming Pan (NAACL (Long Papers), 2025)

Long Context vs. RAG: Strategies for Processing Long Documents in LLMs. - Xinze Li; Yushi Bai; Bowen Jin; Fengbin Zhu; Liangming Pan; Yixin Cao 002 (SIGIR, 2025)

InductionBench: LLMs Fail in the Simplest Complexity Class. - Wenyue Hua; Tyler Wong; Sun Fei; Liangming Pan; Adam Jardine; William Yang Wang (CoRR, 2025)

FinTMMBench: Benchmarking Temporal-Aware Multi-Modal RAG in Finance. - Fengbin Zhu; Junfeng Li; Liangming Pan; Wenjie Wang 007; Fuli Feng; Chao Wang 049; Huanbo Luan; Tat-Seng Chua (CoRR, 2025)

ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models. - Razvan-Gabriel Dumitru; Darius Peteleaza; Vikas Yadav; Liangming Pan (CoRR, 2025)

How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled Benchmark. - Minglai Yang 002; Ethan Huang; Liang Zhang; Mihai Surdeanu; William Wang; Liangming Pan (CoRR, 2025)

How does Transformer Learn Implicit Reasoning? - Jiaran Ye; Zijun Yao 002; Zhidian Huang; Liangming Pan; Jinxin Liu 002; Yushi Bai; Amy Xin; Weichuan Liu; Xiaoyin Che; Lei Hou 001; Juanzi Li (CoRR, 2025)

LEDOM: An Open and Fundamental Reverse Language Model. - Xunjian Yin; Sitao Cheng; Yuxi Xie; Xinyu Hu 001; Li Lin 014; Xinyi Wang 003; Liangming Pan; William Yang Wang; Xiaojun Wan 001 (CoRR, 2025)