Liangming Pan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
58
Venues
11
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
58 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Towards Intrinsic Interpretability of Large Language Models: A Survey of Design Principles and Architectures. | Yutong Gao, Qinglin Meng, Yuan Zhou, Liangming Pan |
| 2026 | ACL | Towards a Mechanistic Understanding of Large Reasoning Models: A Survey of Training, Inference, and Failures. | Yi Hu, Jiaqi Gu, Ruxin Wang, Zijun Yao, Hao Peng, Xiaobao Wu, Jianhui Chen, Muhan Zhang, Liangming Pan |
| 2026 | ACL | LEDOM: Reverse Language Model. | Xunjian Yin, Sitao Cheng, Yuxi Xie, Xinyu Hu, Li Lin, Xinyi Wang, Liangming Pan, William Yang Wang, Xiaojun Wan |
| 2025 | AAAI | Combating Multimodal LLM Hallucination via Bottom-Up Holistic Reasoning. | Shengqiong Wu, Hao Fei, Liangming Pan, William Yang Wang, Shuicheng Yan, Tat-Seng Chua |
| 2025 | ACL | SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation. | Zijun Yao, Weijian Qi, Liangming Pan, Shulin Cao, Linmei Hu, Weichuan Liu, Lei Hou, Juanzi Li |
| 2025 | ACL | InductionBench: LLMs Fail in the Simplest Complexity Class. | Wenyue Hua, Tyler Wong, Fei Sun, Liangming Pan, Adam Jardine, William Yang Wang |
| 2025 | ACL | AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge. | Xiaobao Wu, Liangming Pan, Yuxi Xie, Ruiwen Zhou, Shuai Zhao, Yubo Ma, Mingzhe Du, Rui Mao, Anh Tuan Luu, William Yang Wang |
| 2025 | ACL | Aristotle: Mastering Logical Reasoning with A Logic-Complete Decompose-Search-Resolve Framework. | Jundong Xu, Hao Fei, Meng Luo, Qian Liu, Liangming Pan, William Yang Wang, Preslav Nakov, Mong-Li Lee, Wynne Hsu |
| 2025 | ACL | Gdel Agent: A Self-Referential Agent Framework for Recursively Self-Improvement. | Xunjian Yin, Xinyi Wang, Liangming Pan, Li Lin, Xiaojun Wan, William Yang Wang |
| 2025 | ACL | 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 |
| 2025 | EMNLP | ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models. | Razvan-Gabriel Dumitru, Darius Peteleaza, Vikas Yadav, Liangming Pan |
| 2025 | EMNLP | How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled Benchmark. | Minglai Yang, Ethan Huang, Liang Zhang, Mihai Surdeanu, William Yang Wang, Liangming Pan |
| 2025 | NAACL | TART: An Open-Source Tool-Augmented Framework for Explainable Table-based Reasoning. | Xinyuan Lu, Liangming Pan, Yubo Ma, Preslav Nakov, Min-Yen Kan |
| 2025 | NAACL | Investigating the Transferability of Code Repair for Low-Resource Programming Languages. | Kyle Wong, Alfonso Amayuelas, Liangming Pan, William Yang Wang |
| 2025 | NAACL | CausalEval: Towards Better Causal Reasoning in Language Models. | Longxuan Yu, Delin Chen, Siheng Xiong, Qingyang Wu, Dawei Li, Zhikai Chen, Xiaoze Liu, Liangming Pan |
| 2025 | SIGIR | Long Context vs. RAG: Strategies for Processing Long Documents in LLMs. | Xinze Li, Yushi Bai, Bowen Jin, Fengbin Zhu, Liangming Pan, Yixin Cao |
| 2024 | ACL | Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models. | Alfonso Amayuelas, Kyle Wong, Liangming Pan, Wenhu Chen, William Yang Wang |
| 2024 | ACL | Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution. | Xinze Li, Yixin Cao, Liangming Pan, Yubo Ma, Aixin Sun |
| 2024 | ACL | Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion. | Xiaobao Wu, Xinshuai Dong, Liangming Pan, Thong Nguyen, Anh Tuan Luu |
| 2024 | ACL | Faithful Logical Reasoning via Symbolic Chain-of-Thought. | Jundong Xu, Hao Fei, Liangming Pan, Qian Liu, Mong-Li Lee, Wynne Hsu |
| 2024 | ACL | Pride and Prejudice: LLM Amplifies Self-Bias in Self-Refinement. | Wenda Xu, Guanglei Zhu, Xuandong Zhao, Liangming Pan, Lei Li, William Wang |
| 2024 | ACL | The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models. | Shuo Zhang, Liangming Pan, Junzhou Zhao, William Yang Wang |
| 2024 | EMNLP | 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 |
| 2024 | EMNLP | SciAgent: Tool-augmented Language Models for Scientific Reasoning. | Yubo Ma, Zhibin Gou, Junheng Hao, Ruochen Xu, Shuohang Wang, Liangming Pan, Yujiu Yang, Yixin Cao, Aixin Sun |
| 2024 | EMNLP | 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, Preslav Nakov |
| 2024 | EMNLP | AKEW: Assessing Knowledge Editing in the Wild. | Xiaobao Wu, Liangming Pan, William Yang Wang, Anh Tuan Luu |
| 2024 | EMNLP | A Survey on Detection of LLMs-Generated Content. | Xianjun Yang, Liangming Pan, Xuandong Zhao, Haifeng Chen, Linda R. Petzold, William Yang Wang, Wei Cheng |
| 2024 | ICML | Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation. | Xinyi Wang, Alfonso Amayuelas, Kexun Zhang, Liangming Pan, Wenhu Chen, William Yang Wang |
| 2024 | ICML | Position: AI/ML Influencers Have a Place in the Academic Process. | Iain Weissburg, Mehir Arora, Xinyi Wang, Liangming Pan, William Yang Wang |
| 2023 | AAAI | InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling. | Xiaobao Wu, Xinshuai Dong, Thong Nguyen, Chaoqun Liu, Liangming Pan, Anh Tuan Luu |
| 2023 | ACL | 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 |
| 2023 | ACL | 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 |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables. | Xinyuan Lu, Liangming Pan, Qian Liu, Preslav Nakov, Min-Yen Kan |
| 2023 | EMNLP | MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models. | Deepak Nathani, David Wang, Liangming Pan, William Yang Wang |
| 2023 | EMNLP | Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning. | Liangming Pan, Alon Albalak, Xinyi Wang, William Yang Wang |
| 2023 | EMNLP | QACheck: A Demonstration System for Question-Guided Multi-Hop Fact-Checking. | Liangming Pan, Xinyuan Lu, Min-Yen Kan, Preslav Nakov |
| 2023 | EMNLP | On the Risk of Misinformation Pollution with Large Language Models. | Yikang Pan, Liangming Pan, Wenhu Chen, Preslav Nakov, Min-Yen Kan, William Yang Wang |
| 2023 | EMNLP | INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback. | Wenda Xu, Danqing Wang, Liangming Pan, Zhenqiao Song, Markus Freitag, William Wang, Lei Li |
| 2023 | IJCNLP | FollowupQG: Towards information-seeking follow-up question generation. | Yan Meng, Liangming Pan, Yixin Cao, Min-Yen Kan |
| 2023 | IJCNLP | Attacking Open-domain Question Answering by Injecting Misinformation. | Liangming Pan, Wenhu Chen, Min-Yen Kan, William Yang Wang |
| 2023 | IJCNLP | Investigating Zero- and Few-shot Generalization in Fact Verification. | Liangming Pan, Yunxiang Zhang, Min-Yen Kan |
| 2023 | WWW | Hashtag-Guided Low-Resource Tweet Classification. | Shizhe Diao, Sedrick Scott Keh, Liangming Pan, Zhiliang Tian, Yan Song, Tong Zhang |
| 2022 | ACL | Interpreting the Robustness of Neural NLP Models to Textual Perturbations. | Yunxiang Zhang, Liangming Pan, Samson Tan, Min-Yen Kan |
| 2022 | ACL | 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, Juanzi Li, Bin He, Hanwang Zhang |
| 2022 | COLING | 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 |
| 2022 | COLING | KHANQ: A Dataset for Generating Deep Questions in Education. | Huanli Gong, Liangming Pan, Hengchang Hu |
| 2021 | ACL | Zero-shot Fact Verification by Claim Generation. | Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang |
| 2021 | NAACL | Unsupervised Multi-hop Question Answering by Question Generation. | Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang |
| 2020 | AAAI | Zero-Shot Ingredient Recognition by Multi-Relational Graph Convolutional Network. | Jingjing Chen, Liangming Pan, Zhipeng Wei, Xiang Wang, Chong-Wah Ngo, Tat-Seng Chua |
| 2020 | ACL | Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen. | Yixin Cao, Ruihao Shui, Liangming Pan, Min-Yen Kan, Zhiyuan Liu, Tat-Seng Chua |
| 2020 | ACL | Semantic Graphs for Generating Deep Questions. | Liangming Pan, Yuxi Xie, Yansong Feng, Tat-Seng Chua, Min-Yen Kan |
| 2020 | COLING | Exploring Question-Specific Rewards for Generating Deep Questions. | Yuxi Xie, Liangming Pan, Dongzhe Wang, Min-Yen Kan, Yansong Feng |
| 2020 | CVPR | Hyperbolic Visual Embedding Learning for Zero-Shot Recognition. | Shaoteng Liu, Jingjing Chen, Liangming Pan, Chong-Wah Ngo, Tat-Seng Chua, Yu-Gang Jiang |
| 2020 | EMNLP | Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment. | Zhiyuan Liu, Yixin Cao, Liangming Pan, Juanzi Li, Tat-Seng Chua |
| 2017 | ACL | Prerequisite Relation Learning for Concepts in MOOCs. | Liangming Pan, Chengjiang Li, Juanzi Li, Jie Tang |
| 2017 | IJCNLP | Course Concept Extraction in MOOCs via Embedding-Based Graph Propagation. | Liangming Pan, Xiaochen Wang, Chengjiang Li, Juanzi Li, Jie Tang |
| 2016 | KSEM | Domain Specific Cross-Lingual Knowledge Linking Based on Similarity Flooding. | Liangming Pan, Zhigang Wang, Juanzi Li, Jie Tang |