Liangming Pan - RankMe

139 papers A* 20B 4C 1Journal 75Unranked 39

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ASA: Training-Free Representation Engineering for Tool-Calling Agents. CoRR Youjin Wang, Run Zhou, Rong Fu, Shuaishuai Cao, Hongwei Zeng, Jiaxuan Lu, Sicheng Fan, Jiaqiao Zhao, Liangming Pan
2026	J	`jnl`	Do Latent-CoT Models Think Step-by-Step? A Mechanistic Study on Sequential Reasoning Tasks. CoRR Jia Liang, Liangming Pan
2026	J	`jnl`	Epistemic Context Learning: Building Trust the Right Way in LLM-Based Multi-Agent Systems. CoRR Ruiwen Zhou, Maojia Song, Xiaobao Wu, Sitao Cheng, Xunjian Yin, Yuxi Xie, Zhuoqun Hao, Wenyue Hua, Liangming Pan, Soujanya Poria, Min-Yen Kan
2026	J	`jnl`	Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units. CoRR Jianhui Chen, Yuzhang Luo, Liangming Pan
2026	J	`jnl`	Opening the Black Box: A Survey on the Mechanisms of Multi-Step Reasoning in Large Language Models. CoRR Liangming Pan, Jason Liang, Jiaran Ye, Minglai Yang, Xinyuan Lu, Fengbin Zhu
2026	J	`jnl`	Towards a Mechanistic Understanding of Large Reasoning Models: A Survey of Training, Inference, and Failures. CoRR Yi Hu, Jiaqi Gu, Ruxin Wang, Zijun Yao, Hao Peng, Xiaobao Wu, Jianhui Chen, Muhan Zhang, Liangming Pan
2026	J	`jnl`	Towards a Mechanistic Understanding of Propositional Logical Reasoning in Large Language Models. CoRR Danchun Chen, Qiyao Yan, Liangming Pan
2025	J	`jnl`	AlignSAE: Concept-Aligned Sparse Autoencoders. CoRR Minglai Yang, Xinyu Guo, Mihai Surdeanu, Liangming Pan
2025	—	`conf`	AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge. ACL (1) Xiaobao Wu, Liangming Pan, Yuxi Xie, Ruiwen Zhou, Shuai Zhao, Yubo Ma, Mingzhe Du, Rui Mao, Anh Tuan Luu, William Yang Wang
2025	—	`conf`	Aristotle: Mastering Logical Reasoning with A Logic-Complete Decompose-Search-Resolve Framework. ACL (1) Jundong Xu, Hao Fei, Meng Luo, Qian Liu, Liangming Pan, William Yang Wang, Preslav Nakov, Mong-Li Lee, Wynne Hsu
2025	—	`conf`	CausalEval: Towards Better Causal Reasoning in Language Models. NAACL (Long Papers) Longxuan Yu, Delin Chen, Siheng Xiong, Qingyang Wu, Dawei Li, Zhikai Chen, Xiaoze Liu, Liangming Pan
2025	A*	`conf`	Combating Multimodal LLM Hallucination via Bottom-Up Holistic Reasoning. AAAI Shengqiong Wu, Hao Fei, Liangming Pan, William Yang Wang, Shuicheng Yan, Tat-Seng Chua
2025	—	`conf`	ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models. EMNLP (Findings) Razvan-Gabriel Dumitru, Darius Peteleaza, Vikas Yadav, Liangming Pan
2025	J	`jnl`	ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models. CoRR Razvan-Gabriel Dumitru, Darius Peteleaza, Vikas Yadav, Liangming Pan
2025	J	`jnl`	FinTMMBench: Benchmarking Temporal-Aware Multi-Modal RAG in Finance. CoRR Fengbin Zhu, Junfeng Li, Liangming Pan, Wenjie Wang, Fuli Feng, Chao Wang, Huanbo Luan, Tat-Seng Chua
2025	J	`jnl`	From Atomic to Composite: Reinforcement Learning Enables Generalization in Complementary Reasoning. CoRR Sitao Cheng, Xunjian Yin, Ruiwen Zhou, Yuxuan Li, Xinyi Wang, Liangming Pan, William Yang Wang, Victor Zhong
2025	—	`conf`	Gödel Agent: A Self-Referential Agent Framework for Recursively Self-Improvement. ACL (1) Xunjian Yin, Xinyi Wang, Liangming Pan, Li Lin, Xiaojun Wan, William Yang Wang
2025	A*	`conf`	How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled Benchmark. EMNLP Minglai Yang, Ethan Huang, Liang Zhang, Mihai Surdeanu, William Yang Wang, Liangming Pan
2025	J	`jnl`	How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled Benchmark. CoRR Minglai Yang, Ethan Huang, Liang Zhang, Mihai Surdeanu, William Wang, Liangming Pan
2025	J	`jnl`	How does Transformer Learn Implicit Reasoning? CoRR Jiaran Ye, Zijun Yao, Zhidian Huang, Liangming Pan, Jinxin Liu, Yushi Bai, Amy Xin, Weichuan Liu, Xiaoyin Che, Lei Hou, Juanzi Li
2025	—	`conf`	InductionBench: LLMs Fail in the Simplest Complexity Class. ACL (1) Wenyue Hua, Tyler Wong, Fei Sun, Liangming Pan, Adam Jardine, William Yang Wang
2025	J	`jnl`	InductionBench: LLMs Fail in the Simplest Complexity Class. CoRR Wenyue Hua, Tyler Wong, Sun Fei, Liangming Pan, Adam Jardine, William Yang Wang
2025	—	`conf`	Investigating the Transferability of Code Repair for Low-Resource Programming Languages. NAACL (Findings) Kyle Wong, Alfonso Amayuelas, Liangming Pan, William Yang Wang
2025	J	`jnl`	LEDOM: An Open and Fundamental Reverse Language Model. CoRR Xunjian Yin, Sitao Cheng, Yuxi Xie, Xinyu Hu, Li Lin, Xinyi Wang, Liangming Pan, William Yang Wang, Xiaojun Wan
2025	A*	`conf`	Long Context vs. RAG: Strategies for Processing Long Documents in LLMs. SIGIR Xinze Li, Yushi Bai, Bowen Jin, Fengbin Zhu, Liangming Pan, Yixin Cao
2025	J	`jnl`	MuSLR: Multimodal Symbolic Logical Reasoning. CoRR Jundong Xu, Hao Fei, Yuhui Zhang, Liangming Pan, Qijun Huang, Qian Liu, Preslav Nakov, Min-Yen Kan, William Yang Wang, Mong-Li Lee, Wynne Hsu
2025	—	`conf`	RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World Scenarios. ACL (1) Ruiwen Zhou, Wenyue Hua, Liangming Pan, Sitao Cheng, Xiaobao Wu, En Yu, William Yang Wang
2025	—	`conf`	SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation. ACL (1) Zijun Yao, Weijian Qi, Liangming Pan, Shulin Cao, Linmei Hu, Weichuan Liu, Lei Hou, Juanzi Li
2025	—	`conf`	TART: An Open-Source Tool-Augmented Framework for Explainable Table-based Reasoning. NAACL (Findings) Xinyuan Lu, Liangming Pan, Yubo Ma, Preslav Nakov, Min-Yen Kan
2025	A*	`conf`	Towards Temporal-Aware Multi-Modal Retrieval Augemented Generation in Finance. ACM Multimedia Fengbin Zhu, Junfeng Li, Liangming Pan, Wenjie Wang, Fuli Feng, Chao Wang, Huanbo Luan, Tat-Seng Chua
2024	J	`jnl`	A Survey on Data Selection for Language Models. CoRR Alon Albalak, Yanai Elazar, Sang Michael Xie, Shayne Longpre, Nathan Lambert, Xinyi Wang, Niklas Muennighoff, Bairu Hou, Liangming Pan, Haewon Jeong, Colin Raffel, Shiyu Chang, Tatsunori Hashimoto, William Yang Wang
2024	J	`jnl`	A Survey on Data Selection for Language Models. Trans. Mach. Learn. Res. Alon Albalak, Yanai Elazar, Sang Michael Xie, Shayne Longpre, Nathan Lambert, Xinyi Wang, Niklas Muennighoff, Bairu Hou, Liangming Pan, Haewon Jeong, Colin Raffel, Shiyu Chang, Tatsunori Hashimoto, William Yang Wang
2024	—	`conf`	A Survey on Detection of LLMs-Generated Content. EMNLP (Findings) Xianjun Yang, Liangming Pan, Xuandong Zhao, Haifeng Chen, Linda R. Petzold, William Yang Wang, Wei Cheng
2024	A*	`conf`	AKEW: Assessing Knowledge Editing in the Wild. EMNLP Xiaobao Wu, Liangming Pan, William Yang Wang, Anh Tuan Luu
2024	J	`jnl`	AntiLeak-Bench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge. CoRR Xiaobao Wu, Liangming Pan, Yuxi Xie, Ruiwen Zhou, Shuai Zhao, Yubo Ma, Mingzhe Du, Rui Mao, Anh Tuan Luu, William Yang Wang
2024	J	`jnl`	Aristotle: Mastering Logical Reasoning with A Logic-Complete Decompose-Search-Resolve Framework. CoRR Jundong Xu, Hao Fei, Meng Luo, Qian Liu, Liangming Pan, William Yang Wang, Preslav Nakov, Mong-Li Lee, Wynne Hsu
2024	J	`jnl`	Automatically Correcting Large Language Models: Trans. Assoc. Comput. Linguistics Liangming Pan, Michael Saxon, Wenda Xu, Deepak Nathani, Xinyi Wang, William Yang Wang
2024	J	`jnl`	COrAL: Order-Agnostic Language Modeling for Efficient Iterative Refinement. CoRR Yuxi Xie, Anirudh Goyal, Xiaobao Wu, Xunjian Yin, Xiao Xu, Min-Yen Kan, Liangming Pan, William Yang Wang
2024	J	`jnl`	Combating Multimodal LLM Hallucination via Bottom-Up Holistic Reasoning. CoRR Shengqiong Wu, Hao Fei, Liangming Pan, William Yang Wang, Shuicheng Yan, Tat-Seng Chua
2024	J	`jnl`	DistiLRR: Transferring Code Repair for Low-Resource Programming Languages. CoRR Kyle Wong, Alfonso Amayuelas, Liangming Pan, William Yang Wang
2024	—	`conf`	Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers. EMNLP (Findings) 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	—	`conf`	Faithful Logical Reasoning via Symbolic Chain-of-Thought. ACL (1) Jundong Xu, Hao Fei, Liangming Pan, Qian Liu, Mong-Li Lee, Wynne Hsu
2024	J	`jnl`	Faithful Logical Reasoning via Symbolic Chain-of-Thought. CoRR Jundong Xu, Hao Fei, Liangming Pan, Qian Liu, Mong-Li Lee, Wynne Hsu
2024	J	`jnl`	Gödel Agent: A Self-Referential Agent Framework for Recursive Self-Improvement. CoRR Xunjian Yin, Xinyi Wang, Liangming Pan, Xiaojun Wan, William Yang Wang
2024	J	`jnl`	Improving Causal Reasoning in Large Language Models: A Survey. CoRR Siheng Xiong, Delin Chen, Qingyang Wu, Longxuan Yu, Qingzhen Liu, Dawei Li, Zhikai Chen, Xiaoze Liu, Liangming Pan
2024	—	`conf`	Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models. ACL (Findings) Alfonso Amayuelas, Kyle Wong, Liangming Pan, Wenhu Chen, William Yang Wang
2024	A*	`conf`	MMLONGBENCH-DOC: Benchmarking Long-context Document Understanding with Visualizations. NeurIPS Yubo Ma, Yuhang Zang, Liangyu Chen, Meiqi Chen, Yizhu Jiao, Xinze Li, Xinyuan Lu, Ziyu Liu, Yan Ma, Xiaoyi Dong, Pan Zhang, Liangming Pan, Yu-Gang Jiang, Jiaqi Wang, Yixin Cao, Aixin Sun
2024	J	`jnl`	MMLongBench-Doc: Benchmarking Long-context Document Understanding with Visualizations. CoRR Yubo Ma, Yuhang Zang, Liangyu Chen, Meiqi Chen, Yizhu Jiao, Xinze Li, Xinyuan Lu, Ziyu Liu, Yan Ma, Xiaoyi Dong, Pan Zhang, Liangming Pan, Yu-Gang Jiang, Jiaqi Wang, Yixin Cao, Aixin Sun
2024	—	`conf`	Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion. ACL (Findings) Xiaobao Wu, Xinshuai Dong, Liangming Pan, Thong Nguyen, Anh Tuan Luu
2024	J	`jnl`	Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion. CoRR Xiaobao Wu, Xinshuai Dong, Liangming Pan, Thong Nguyen, Anh Tuan Luu
2024	—	`conf`	MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate. EMNLP (Findings) Alfonso Amayuelas, Xianjun Yang, Antonis Antoniades, Wenyue Hua, Liangming Pan, William Yang Wang
2024	J	`jnl`	MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate. CoRR Alfonso Amayuelas, Xianjun Yang, Antonis Antoniades, Wenyue Hua, Liangming Pan, William Wang
2024	J	`jnl`	Perils of Self-Feedback: Self-Bias Amplifies in Large Language Models. CoRR Wenda Xu, Guanglei Zhu, Xuandong Zhao, Liangming Pan, Lei Li, William Yang Wang
2024	A*	`conf`	Position: AI/ML Influencers Have a Place in the Academic Process. ICML Iain Weissburg, Mehir Arora, Xinyi Wang, Liangming Pan, William Yang Wang
2024	—	`conf`	Pride and Prejudice: LLM Amplifies Self-Bias in Self-Refinement. ACL (1) Wenda Xu, Guanglei Zhu, Xuandong Zhao, Liangming Pan, Lei Li, William Wang
2024	J	`jnl`	RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World Scenarios. CoRR Ruiwen Zhou, Wenyue Hua, Liangming Pan, Sitao Cheng, Xiaobao Wu, En Yu, William Yang Wang
2024	A*	`conf`	SciAgent: Tool-augmented Language Models for Scientific Reasoning. EMNLP Yubo Ma, Zhibin Gou, Junheng Hao, Ruochen Xu, Shuohang Wang, Liangming Pan, Yujiu Yang, Yixin Cao, Aixin Sun
2024	J	`jnl`	SciAgent: Tool-augmented Language Models for Scientific Reasoning. CoRR Yubo Ma, Zhibin Gou, Junheng Hao, Ruochen Xu, Shuohang Wang, Liangming Pan, Yujiu Yang, Yixin Cao, Aixin Sun, Hany Hassan Awadalla, Weizhu Chen
2024	J	`jnl`	SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation. CoRR Zijun Yao, Weijian Qi, Liangming Pan, Shulin Cao, Linmei Hu, Weichuan Liu, Lei Hou, Juanzi Li
2024	J	`jnl`	TART: An Open-Source Tool-Augmented Framework for Explainable Table-based Reasoning. CoRR Xinyuan Lu, Liangming Pan, Yubo Ma, Preslav Nakov, Min-Yen Kan
2024	—	`conf`	The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models. ACL (Findings) Shuo Zhang, Liangming Pan, Junzhou Zhao, William Yang Wang
2024	—	`conf`	Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution. ACL (Findings) Xinze Li, Yixin Cao, Liangming Pan, Yubo Ma, Aixin Sun
2024	J	`jnl`	Tweets to Citations: Unveiling the Impact of Social Media Influencers on AI Research Visibility. CoRR Iain Xie Weissburg, Mehir Arora, Liangming Pan, William Yang Wang
2024	A*	`conf`	Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation. ICML Xinyi Wang, Alfonso Amayuelas, Kexun Zhang, Liangming Pan, Wenhu Chen, William Yang Wang
2024	J	`jnl`	Understanding the Interplay between Parametric and Contextual Knowledge for Large Language Models. CoRR Sitao Cheng, Liangming Pan, Xunjian Yin, Xinyi Wang, William Yang Wang
2024	J	`jnl`	Understanding the Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation. CoRR Xinyi Wang, Alfonso Amayuelas, Kexun Zhang, Liangming Pan, Wenhu Chen, William Yang Wang
2024	J	`jnl`	Updating Language Models with Unstructured Facts: Towards Practical Knowledge Editing. CoRR Xiaobao Wu, Liangming Pan, William Yang Wang, Anh Tuan Luu
2023	J	`jnl`	A Survey on Detection of LLMs-Generated Content. CoRR Xianjun Yang, Liangming Pan, Xuandong Zhao, Haifeng Chen, Linda R. Petzold, William Yang Wang, Wei Cheng
2023	—	`conf`	Attacking Open-domain Question Answering by Injecting Misinformation. IJCNLP (1) Liangming Pan, Wenhu Chen, Min-Yen Kan, William Yang Wang
2023	J	`jnl`	Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies. CoRR Liangming Pan, Michael Saxon, Wenda Xu, Deepak Nathani, Xinyi Wang, William Yang Wang
2023	A*	`conf`	Doolittle: Benchmarks and Corpora for Academic Writing Formalization. EMNLP Shizhe Diao, Yongyu Lei, Liangming Pan, Tianqing Fang, Wangchunshu Zhou, Sedrick Scott Keh, Min-Yen Kan, Tong Zhang
2023	J	`jnl`	Efficient Online Data Mixing For Language Model Pre-Training. CoRR Alon Albalak, Liangming Pan, Colin Raffel, William Yang Wang
2023	J	`jnl`	FOLLOWUPQG: Towards Information-Seeking Follow-up Question Generation. CoRR Yan Meng, Liangming Pan, Yixin Cao, Min-Yen Kan
2023	—	`conf`	Fact-Checking Complex Claims with Program-Guided Reasoning. ACL (1) Liangming Pan, Xiaobao Wu, Xinyuan Lu, Anh Tuan Luu, William Yang Wang, Min-Yen Kan, Preslav Nakov
2023	J	`jnl`	Fact-Checking Complex Claims with Program-Guided Reasoning. CoRR Liangming Pan, Xiaobao Wu, Xinyuan Lu, Anh Tuan Luu, William Yang Wang, Min-Yen Kan, Preslav Nakov
2023	J	`jnl`	Factcheck-GPT: End-to-End Fine-Grained Document-Level Fact-Checking and Correction of LLM Output. CoRR 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
2023	—	`conf`	FollowupQG: Towards information-seeking follow-up question generation. IJCNLP (1) Yan Meng, Liangming Pan, Yixin Cao, Min-Yen Kan
2023	A*	`conf`	Hashtag-Guided Low-Resource Tweet Classification. WWW Shizhe Diao, Sedrick Scott Keh, Liangming Pan, Zhiliang Tian, Yan Song, Tong Zhang
2023	J	`jnl`	Hashtag-Guided Low-Resource Tweet Classification. CoRR Shizhe Diao, Sedrick Scott Keh, Liangming Pan, Zhiliang Tian, Yan Song, Tong Zhang
2023	A*	`conf`	INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback. EMNLP Wenda Xu, Danqing Wang, Liangming Pan, Zhenqiao Song, Markus Freitag, William Wang, Lei Li
2023	J	`jnl`	INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback. CoRR Wenda Xu, Danqing Wang, Liangming Pan, Zhenqiao Song, Markus Freitag, William Yang Wang, Lei Li
2023	A*	`conf`	InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling. AAAI Xiaobao Wu, Xinshuai Dong, Thong Nguyen, Chaoqun Liu, Liangming Pan, Anh Tuan Luu
2023	J	`jnl`	InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling. CoRR Xiaobao Wu, Xinshuai Dong, Thong Nguyen, Chaoqun Liu, Liangming Pan, Anh Tuan Luu
2023	—	`conf`	Investigating Zero- and Few-shot Generalization in Fact Verification. IJCNLP (1) Liangming Pan, Yunxiang Zhang, Min-Yen Kan
2023	J	`jnl`	Investigating Zero- and Few-shot Generalization in Fact Verification. CoRR Liangming Pan, Yunxiang Zhang, Min-Yen Kan
2023	J	`jnl`	Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models. CoRR Alfonso Amayuelas, Liangming Pan, Wenhu Chen, William Yang Wang
2023	—	`conf`	Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning. EMNLP (Findings) Liangming Pan, Alon Albalak, Xinyi Wang, William Yang Wang
2023	J	`jnl`	Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning. CoRR Liangming Pan, Alon Albalak, Xinyi Wang, William Yang Wang
2023	A*	`conf`	MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models. EMNLP Deepak Nathani, David Wang, Liangming Pan, William Yang Wang
2023	J	`jnl`	MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models. CoRR Deepak Nathani, David Wang, Liangming Pan, William Yang Wang
2023	J	`jnl`	Mitigating Language Model Hallucination with Interactive Question-Knowledge Alignment. CoRR Shuo Zhang, Liangming Pan, Junzhou Zhao, William Yang Wang
2023	—	`conf`	Modeling What-to-ask and How-to-ask for Answer-unaware Conversational Question Generation. ACL (1) Xuan Long Do, Bowei Zou, Shafiq R. Joty, Anh Tran Tai, Liangming Pan, Nancy F. Chen, Ai Ti Aw
2023	J	`jnl`	Modeling What-to-ask and How-to-ask for Answer-unaware Conversational Question Generation. CoRR Xuan Long Do, Bowei Zou, Shafiq R. Joty, Anh Tai Tran, Liangming Pan, Nancy F. Chen, Ai Ti Aw
2023	—	`conf`	On the Risk of Misinformation Pollution with Large Language Models. EMNLP (Findings) Yikang Pan, Liangming Pan, Wenhu Chen, Preslav Nakov, Min-Yen Kan, William Yang Wang
2023	J	`jnl`	On the Risk of Misinformation Pollution with Large Language Models. CoRR Yikang Pan, Liangming Pan, Wenhu Chen, Preslav Nakov, Min-Yen Kan, William Yang Wang
2023	J	`jnl`	QACHECK: A Demonstration System for Question-Guided Multi-Hop Fact-Checking. CoRR Liangming Pan, Xinyuan Lu, Min-Yen Kan, Preslav Nakov
2023	—	`conf`	QACheck: A Demonstration System for Question-Guided Multi-Hop Fact-Checking. EMNLP (Demos) Liangming Pan, Xinyuan Lu, Min-Yen Kan, Preslav Nakov
2023	A*	`conf`	SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables. EMNLP Xinyuan Lu, Liangming Pan, Qian Liu, Preslav Nakov, Min-Yen Kan
2023	J	`jnl`	SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables. CoRR Xinyuan Lu, Liangming Pan, Qian Liu, Preslav Nakov, Min-Yen Kan
2023	J	`jnl`	Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution. CoRR Xinze Li, Yixin Cao, Liangming Pan, Yubo Ma, Aixin Sun
2022	B	`conf`	CoHS-CQG: Context and History Selection for Conversational Question Generation. COLING Xuan Long Do, Bowei Zou, Liangming Pan, Nancy F. Chen, Shafiq R. Joty, Ai Ti Aw
2022	J	`jnl`	CoHS-CQG: Context and History Selection for Conversational Question Generation. CoRR Xuan Long Do, Bowei Zou, Liangming Pan, Nancy F. Chen, Shafiq R. Joty, Ai Ti Aw
2022	—	`conf`	Food Nutrient Composition Analysis Based on Adaptive AP Clustering Algorithm. ICIIP Li Shi, Liangming Pan
2022	B	`conf`	Ingredient-enriched Recipe Generation from Cooking Videos. ICMR Jianlong Wu, Liangming Pan, Jingjing Chen, Yu-Gang Jiang
2022	—	`conf`	Interpreting the Robustness of Neural NLP Models to Textual Perturbations. ACL (Findings) Yunxiang Zhang, Liangming Pan, Samson Tan, Min-Yen Kan
2022	B	`conf`	KHANQ: A Dataset for Generating Deep Questions in Education. COLING Huanli Gong, Liangming Pan, Hengchang Hu
2022	—	`conf`	KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base. ACL (1) Shulin Cao, Jiaxin Shi, Liangming Pan, Lunyiu Nie, Yutong Xiang, Lei Hou, Juanzi Li, Bin He, Hanwang Zhang
2022	J	`jnl`	Modeling and Leveraging Prerequisite Context in Recommendation. CoRR Hengchang Hu, Liangming Pan, Yiding Ran, Min-Yen Kan
2021	J	`jnl`	A Hybrid Approach for Detecting Prerequisite Relations in Multi-Modal Food Recipes. IEEE Trans. Multim. Liangming Pan, Jingjing Chen, Shaoteng Liu, Chong-Wah Ngo, Min-Yen Kan, Tat-Seng Chua
2021	J	`jnl`	Causally Estimating the Sensitivity of Neural NLP Models to Spurious Features. CoRR Yunxiang Zhang, Liangming Pan, Samson Tan, Min-Yen Kan
2021	J	`jnl`	ContraQA: Question Answering under Contradicting Contexts. CoRR Liangming Pan, Wenhu Chen, Min-Yen Kan, William Yang Wang
2021	—	`conf`	Unsupervised Multi-hop Question Answering by Question Generation. NAACL-HLT Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang
2021	—	`conf`	Zero-shot Fact Verification by Claim Generation. ACL/IJCNLP (2) Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang
2021	J	`jnl`	Zero-shot Fact Verification by Claim Generation. CoRR Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang
2020	—	`conf`	Evaluation of College Students' Employment Quality Based on Analytic Hierarchy Process. EBIMCS Li Shi, Liangming Pan
2020	A*	`conf`	Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen. ACL Yixin Cao, Ruihao Shui, Liangming Pan, Min-Yen Kan, Zhiyuan Liu, Tat-Seng Chua
2020	J	`jnl`	Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen. CoRR Yixin Cao, Ruihao Shui, Liangming Pan, Min-Yen Kan, Zhiyuan Liu, Tat-Seng Chua
2020	B	`conf`	Exploring Question-Specific Rewards for Generating Deep Questions. COLING Yuxi Xie, Liangming Pan, Dongzhe Wang, Min-Yen Kan, Yansong Feng
2020	J	`jnl`	Exploring Question-Specific Rewards for Generating Deep Questions. CoRR Yuxi Xie, Liangming Pan, Dongzhe Wang, Min-Yen Kan, Yansong Feng
2020	—	`conf`	Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment. EMNLP (1) Zhiyuan Liu, Yixin Cao, Liangming Pan, Juanzi Li, Tat-Seng Chua
2020	J	`jnl`	Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment. CoRR Zhiyuan Liu, Yixin Cao, Liangming Pan, Juanzi Li, Zhiyuan Liu, Tat-Seng Chua
2020	A*	`conf`	Hyperbolic Visual Embedding Learning for Zero-Shot Recognition. CVPR Shaoteng Liu, Jingjing Chen, Liangming Pan, Chong-Wah Ngo, Tat-Seng Chua, Yu-Gang Jiang
2020	J	`jnl`	KQA Pro: A Large Diagnostic Dataset for Complex Question Answering over Knowledge Base. CoRR Jiaxin Shi, Shulin Cao, Liangming Pan, Yutong Xiang, Lei Hou, Juanzi Li, Hanwang Zhang, Bin He
2020	A*	`conf`	Multi-modal Cooking Workflow Construction for Food Recipes. ACM Multimedia Liangming Pan, Jingjing Chen, Jianlong Wu, Shaoteng Liu, Chong-Wah Ngo, Min-Yen Kan, Yu-Gang Jiang, Tat-Seng Chua
2020	J	`jnl`	Multi-modal Cooking Workflow Construction for Food Recipes. CoRR Liangming Pan, Jingjing Chen, Jianlong Wu, Shaoteng Liu, Chong-Wah Ngo, Min-Yen Kan, Yu-Gang Jiang, Tat-Seng Chua
2020	A*	`conf`	Semantic Graphs for Generating Deep Questions. ACL Liangming Pan, Yuxi Xie, Yansong Feng, Tat-Seng Chua, Min-Yen Kan
2020	J	`jnl`	Semantic Graphs for Generating Deep Questions. CoRR Liangming Pan, Yuxi Xie, Yansong Feng, Tat-Seng Chua, Min-Yen Kan
2020	J	`jnl`	Unsupervised Multi-hop Question Answering by Question Generation. CoRR Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang
2020	A*	`conf`	Zero-Shot Ingredient Recognition by Multi-Relational Graph Convolutional Network. AAAI Jingjing Chen, Liangming Pan, Zhipeng Wei, Xiang Wang, Chong-Wah Ngo, Tat-Seng Chua
2019	J	`jnl`	Recent Advances in Neural Question Generation. CoRR Liangming Pan, Wenqiang Lei, Tat-Seng Chua, Min-Yen Kan
2019	J	`jnl`	Resource Mention Extraction for MOOC Discussion Forums. IEEE Access Ya-Hui An, Liangming Pan, Min-Yen Kan, Qiang Dong, Yan Fu
2018	J	`jnl`	Condition Monitoring in a Power Module Using On-State Resistance and Case Temperature. IEEE Access Wei Lai, Yuanpei Zhao, Minyou Chen, Yueyue Wang, Xueni Ding, Shengyou Xu, Liangming Pan
2018	—	`conf`	Predicting Concept-Based Research Trends with Rhetorical Framing. CCKS Jifan Yu, Liangming Pan, Juanzi Li, Xiaoping Du
2018	J	`jnl`	Resource Mention Extraction for MOOC Discussion Forums. CoRR Ya-Hui An, Liangming Pan, Min-Yen Kan, Qiang Dong, Yan Fu
2017	—	`conf`	Course Concept Extraction in MOOCs via Embedding-Based Graph Propagation. IJCNLP(1) Liangming Pan, Xiaochen Wang, Chengjiang Li, Juanzi Li, Jie Tang
2017	—	`conf`	Prerequisite Relation Learning for Concepts in MOOCs. ACL (1) Liangming Pan, Chengjiang Li, Juanzi Li, Jie Tang
2016	—	`conf`	Boosting to Build a Large-Scale Cross-Lingual Ontology. CCKS Zhigang Wang, Liangming Pan, Juanzi Li, Shuangjie Li, Mingyang Li, Jie Tang
2016	C	`conf`	Domain Specific Cross-Lingual Knowledge Linking Based on Similarity Flooding. KSEM Liangming Pan, Zhigang Wang, Juanzi Li, Jie Tang
2016	—	`conf`	RiMOM results for OAEI 2016. OM@ISWC Yan Zhang, Hailong Jin, Liangming Pan, Juan-Zi Li