Liangming Pan

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 91

Top Topics

Relational Graph

College Students

Question Answering

Top Venues

Publications

Xiaobao Wu, Liangming Pan, William Yang Wang, Anh Tuan Luu
Updating Language Models with Unstructured Facts: Towards Practical Knowledge Editing. CoRR (2024)
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
A Survey on Data Selection for Language Models. CoRR (2024)
Xiaobao Wu, Xinshuai Dong, Liangming Pan, Thong Nguyen, Anh Tuan Luu
Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion. ACL (Findings) (2024)
Xinze Li, Yixin Cao, Liangming Pan, Yubo Ma, Aixin Sun
Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution. ACL (Findings) (2024)
Kyle Wong, Alfonso Amayuelas, Liangming Pan, William Yang Wang
DistiLRR: Transferring Code Repair for Low-Resource Programming Languages. CoRR (2024)
Zijun Yao, Weijian Qi, Liangming Pan, Shulin Cao, Linmei Hu, Weichuan Liu, Lei Hou, Juanzi Li
SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation. CoRR (2024)
Alfonso Amayuelas, Kyle Wong, Liangming Pan, Wenhu Chen, William Yang Wang
Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models. ACL (Findings) (2024)
Iain Xie Weissburg, Mehir Arora, Liangming Pan, William Yang Wang
Tweets to Citations: Unveiling the Impact of Social Media Influencers on AI Research Visibility. CoRR (2024)
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
MMLongBench-Doc: Benchmarking Long-context Document Understanding with Visualizations. CoRR (2024)
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
A Survey on Data Selection for Language Models. Trans. Mach. Learn. Res. 2024 (2024)
Liangming Pan, Michael Saxon, Wenda Xu, Deepak Nathani, Xinyi Wang, William Yang Wang
. Trans. Assoc. Comput. Linguistics 12 (2024)
Xinyi Wang, Alfonso Amayuelas, Kexun Zhang, Liangming Pan, Wenhu Chen, William Yang Wang
Understanding the Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation. CoRR (2024)
Xiaobao Wu, Xinshuai Dong, Liangming Pan, Thong Nguyen, Anh Tuan Luu
Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion. CoRR (2024)
Jundong Xu, Hao Fei, Liangming Pan, Qian Liu, Mong-Li Lee, Wynne Hsu
Faithful Logical Reasoning via Symbolic Chain-of-Thought. CoRR (2024)
Alfonso Amayuelas, Xianjun Yang, Antonis Antoniades, Wenyue Hua, Liangming Pan, William Wang
MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate. CoRR (2024)
Yubo Ma, Zhibin Gou, Junheng Hao, Ruochen Xu, Shuohang Wang, Liangming Pan, Yujiu Yang, Yixin Cao, Aixin Sun, Hany Hassan Awadalla, Weizhu Chen
SciAgent: Tool-augmented Language Models for Scientific Reasoning. CoRR (2024)
Shuo Zhang, Liangming Pan, Junzhou Zhao, William Yang Wang
The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models. ACL (Findings) (2024)
Jundong Xu, Hao Fei, Liangming Pan, Qian Liu, Mong-Li Lee, Wynne Hsu
Faithful Logical Reasoning via Symbolic Chain-of-Thought. ACL (1) (2024)
Wenda Xu, Guanglei Zhu, Xuandong Zhao, Liangming Pan, Lei Li, William Yang Wang
Perils of Self-Feedback: Self-Bias Amplifies in Large Language Models. CoRR (2024)
Wenda Xu, Danqing Wang, Liangming Pan, Zhenqiao Song, Markus Freitag, William Wang, Lei Li
INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback. EMNLP (2023)
Liangming Pan, Xinyuan Lu, Min-Yen Kan, Preslav Nakov
QACheck: A Demonstration System for Question-Guided Multi-Hop Fact-Checking. EMNLP (Demos) (2023)
Shizhe Diao, Yongyu Lei, Liangming Pan, Tianqing Fang, Wangchunshu Zhou, Sedrick Scott Keh, Min-Yen Kan, Tong Zhang
Doolittle: Benchmarks and Corpora for Academic Writing Formalization. EMNLP (2023)
Liangming Pan, Michael Saxon, Wenda Xu, Deepak Nathani, Xinyi Wang, William Yang Wang
Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies. CoRR (2023)
Liangming Pan, Alon Albalak, Xinyi Wang, William Wang
Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning. EMNLP (Findings) (2023)
Xuan Long Do, Bowei Zou, Shafiq R. Joty, Anh Tai Tran, Liangming Pan, Nancy F. Chen, Ai Ti Aw
Modeling What-to-ask and How-to-ask for Answer-unaware Conversational Question Generation. CoRR (2023)
Liangming Pan, Xiaobao Wu, Xinyuan Lu, Anh Tuan Luu, William Yang Wang, Min-Yen Kan, Preslav Nakov
Fact-Checking Complex Claims with Program-Guided Reasoning. ACL (1) (2023)
Yikang Pan, Liangming Pan, Wenhu Chen, Preslav Nakov, Min-Yen Kan, William Yang Wang
On the Risk of Misinformation Pollution with Large Language Models. CoRR (2023)
Liangming Pan, Xinyuan Lu, Min-Yen Kan, Preslav Nakov
QACHECK: A Demonstration System for Question-Guided Multi-Hop Fact-Checking. CoRR (2023)
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
Factcheck-GPT: End-to-End Fine-Grained Document-Level Fact-Checking and Correction of LLM Output. CoRR (2023)
Xinyuan Lu, Liangming Pan, Qian Liu, Preslav Nakov, Min-Yen Kan
SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables. CoRR (2023)
Liangming Pan, Wenhu Chen, Min-Yen Kan, William Yang Wang
Attacking Open-domain Question Answering by Injecting Misinformation. IJCNLP (1) (2023)
Xinze Li, Yixin Cao, Liangming Pan, Yubo Ma, Aixin Sun
Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution. CoRR (2023)
Liangming Pan, Alon Albalak, Xinyi Wang, William Yang Wang
Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning. CoRR (2023)
Wenda Xu, Danqing Wang, Liangming Pan, Zhenqiao Song, Markus Freitag, William Yang Wang, Lei Li
INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback. CoRR (2023)
Xinyuan Lu, Liangming Pan, Qian Liu, Preslav Nakov, Min-Yen Kan
SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables. EMNLP (2023)
Shizhe Diao, Sedrick Scott Keh, Liangming Pan, Zhiliang Tian, Yan Song, Tong Zhang
Hashtag-Guided Low-Resource Tweet Classification. WWW (2023)
Xuan Long Do, Bowei Zou, Shafiq R. Joty, Anh Tran Tai, Liangming Pan, Nancy F. Chen, Ai Ti Aw
Modeling What-to-ask and How-to-ask for Answer-unaware Conversational Question Generation. ACL (1) (2023)
Shizhe Diao, Sedrick Scott Keh, Liangming Pan, Zhiliang Tian, Yan Song, Tong Zhang
Hashtag-Guided Low-Resource Tweet Classification. CoRR (2023)
Alon Albalak, Liangming Pan, Colin Raffel, William Yang Wang
Efficient Online Data Mixing For Language Model Pre-Training. CoRR (2023)
Liangming Pan, Yunxiang Zhang, Min-Yen Kan
Investigating Zero- and Few-shot Generalization in Fact Verification. IJCNLP (1) (2023)
Liangming Pan, Xiaobao Wu, Xinyuan Lu, Anh Tuan Luu, William Yang Wang, Min-Yen Kan, Preslav Nakov
Fact-Checking Complex Claims with Program-Guided Reasoning. CoRR (2023)
Xianjun Yang, Liangming Pan, Xuandong Zhao, Haifeng Chen, Linda R. Petzold, William Yang Wang, Wei Cheng
A Survey on Detection of LLMs-Generated Content. CoRR (2023)
Shuo Zhang, Liangming Pan, Junzhou Zhao, William Yang Wang
Mitigating Language Model Hallucination with Interactive Question-Knowledge Alignment. CoRR (2023)
Xiaobao Wu, Xinshuai Dong, Thong Nguyen, Chaoqun Liu, Liangming Pan, Anh Tuan Luu
InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling. AAAI (2023)
Alfonso Amayuelas, Liangming Pan, Wenhu Chen, William Yang Wang
Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models. CoRR (2023)
Xiaobao Wu, Xinshuai Dong, Thong Nguyen, Chaoqun Liu, Liangming Pan, Anh Tuan Luu
InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling. CoRR (2023)
Liangming Pan, Yunxiang Zhang, Min-Yen Kan
Investigating Zero- and Few-shot Generalization in Fact Verification. CoRR (2023)
Yan Meng, Liangming Pan, Yixin Cao, Min-Yen Kan
FOLLOWUPQG: Towards Information-Seeking Follow-up Question Generation. CoRR (2023)
Yan Meng, Liangming Pan, Yixin Cao, Min-Yen Kan
FollowupQG: Towards information-seeking follow-up question generation. IJCNLP (1) (2023)
Yikang Pan, Liangming Pan, Wenhu Chen, Preslav Nakov, Min-Yen Kan, William Wang
On the Risk of Misinformation Pollution with Large Language Models. EMNLP (Findings) (2023)
Deepak Nathani, David Wang, Liangming Pan, William Yang Wang
MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models. CoRR (2023)
Deepak Nathani, David Wang, Liangming Pan, William Yang Wang
MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models. EMNLP (2023)
Shulin Cao, Jiaxin Shi, Liangming Pan, Lunyiu Nie, Yutong Xiang, Lei Hou, Juanzi Li, Bin He, Hanwang Zhang
KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base. ACL (1) (2022)
Huanli Gong, Liangming Pan, Hengchang Hu
KHANQ: A Dataset for Generating Deep Questions in Education. COLING (2022)
Hengchang Hu, Liangming Pan, Yiding Ran, Min-Yen Kan
Modeling and Leveraging Prerequisite Context in Recommendation. CoRR (2022)
Yunxiang Zhang, Liangming Pan, Samson Tan, Min-Yen Kan
Interpreting the Robustness of Neural NLP Models to Textual Perturbations. ACL (Findings) (2022)
Xuan Long Do, Bowei Zou, Liangming Pan, Nancy F. Chen, Shafiq R. Joty, Ai Ti Aw
CoHS-CQG: Context and History Selection for Conversational Question Generation. COLING (2022)
Li Shi, Liangming Pan
Food Nutrient Composition Analysis Based on Adaptive AP Clustering Algorithm. ICIIP (2022)
Xuan Long Do, Bowei Zou, Liangming Pan, Nancy F. Chen, Shafiq R. Joty, Ai Ti Aw
CoHS-CQG: Context and History Selection for Conversational Question Generation. CoRR (2022)
Jianlong Wu, Liangming Pan, Jingjing Chen, Yu-Gang Jiang
Ingredient-enriched Recipe Generation from Cooking Videos. ICMR (2022)
Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang
Unsupervised Multi-hop Question Answering by Question Generation. NAACL-HLT (2021)
Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang
Zero-shot Fact Verification by Claim Generation. CoRR (2021)
Yunxiang Zhang, Liangming Pan, Samson Tan, Min-Yen Kan
Causally Estimating the Sensitivity of Neural NLP Models to Spurious Features. CoRR (2021)
Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang
Zero-shot Fact Verification by Claim Generation. ACL/IJCNLP (2) (2021)
Liangming Pan, Wenhu Chen, Min-Yen Kan, William Yang Wang
ContraQA: Question Answering under Contradicting Contexts. CoRR (2021)
Liangming Pan, Jingjing Chen, Shaoteng Liu, Chong-Wah Ngo, Min-Yen Kan, Tat-Seng Chua
A Hybrid Approach for Detecting Prerequisite Relations in Multi-Modal Food Recipes. IEEE Trans. Multim. 23 (2021)
Zhiyuan Liu, Yixin Cao, Liangming Pan, Juanzi Li, Tat-Seng Chua
Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment. EMNLP (1) (2020)
Li Shi, Liangming Pan
Evaluation of College Students' Employment Quality Based on Analytic Hierarchy Process. EBIMCS (2020)
Jiaxin Shi, Shulin Cao, Liangming Pan, Yutong Xiang, Lei Hou, Juanzi Li, Hanwang Zhang, Bin He
KQA Pro: A Large Diagnostic Dataset for Complex Question Answering over Knowledge Base. CoRR (2020)
Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang
Unsupervised Multi-hop Question Answering by Question Generation. CoRR (2020)
Zhiyuan Liu, Yixin Cao, Liangming Pan, Juanzi Li, Zhiyuan Liu, Tat-Seng Chua
Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment. CoRR (2020)
Yuxi Xie, Liangming Pan, Dongzhe Wang, Min-Yen Kan, Yansong Feng
Exploring Question-Specific Rewards for Generating Deep Questions. COLING (2020)
Yixin Cao, Ruihao Shui, Liangming Pan, Min-Yen Kan, Zhiyuan Liu, Tat-Seng Chua
Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen. ACL (2020)
Jingjing Chen, Liangming Pan, Zhipeng Wei, Xiang Wang, Chong-Wah Ngo, Tat-Seng Chua
Zero-Shot Ingredient Recognition by Multi-Relational Graph Convolutional Network. AAAI (2020)
Liangming Pan, Yuxi Xie, Yansong Feng, Tat-Seng Chua, Min-Yen Kan
Semantic Graphs for Generating Deep Questions. CoRR (2020)
Liangming Pan, Jingjing Chen, Jianlong Wu, Shaoteng Liu, Chong-Wah Ngo, Min-Yen Kan, Yu-Gang Jiang, Tat-Seng Chua
Multi-modal Cooking Workflow Construction for Food Recipes. CoRR (2020)
Yuxi Xie, Liangming Pan, Dongzhe Wang, Min-Yen Kan, Yansong Feng
Exploring Question-Specific Rewards for Generating Deep Questions. CoRR (2020)
Liangming Pan, Yuxi Xie, Yansong Feng, Tat-Seng Chua, Min-Yen Kan
Semantic Graphs for Generating Deep Questions. ACL (2020)
Shaoteng Liu, Jingjing Chen, Liangming Pan, Chong-Wah Ngo, Tat-Seng Chua, Yu-Gang Jiang
Hyperbolic Visual Embedding Learning for Zero-Shot Recognition. CVPR (2020)
Liangming Pan, Jingjing Chen, Jianlong Wu, Shaoteng Liu, Chong-Wah Ngo, Min-Yen Kan, Yu-Gang Jiang, Tat-Seng Chua
Multi-modal Cooking Workflow Construction for Food Recipes. ACM Multimedia (2020)
Yixin Cao, Ruihao Shui, Liangming Pan, Min-Yen Kan, Zhiyuan Liu, Tat-Seng Chua
Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen. CoRR (2020)
Ya-Hui An, Liangming Pan, Min-Yen Kan, Qiang Dong, Yan Fu
Resource Mention Extraction for MOOC Discussion Forums. IEEE Access 7 (2019)
Liangming Pan, Wenqiang Lei, Tat-Seng Chua, Min-Yen Kan
Recent Advances in Neural Question Generation. CoRR (2019)
Ya-Hui An, Liangming Pan, Min-Yen Kan, Qiang Dong, Yan Fu
Resource Mention Extraction for MOOC Discussion Forums. CoRR (2018)
Jifan Yu, Liangming Pan, Juanzi Li, Xiaoping Du
Predicting Concept-Based Research Trends with Rhetorical Framing. CCKS (2018)
Wei Lai, Yuanpei Zhao, Minyou Chen, Yueyue Wang, Xueni Ding, Shengyou Xu, Liangming Pan
Condition Monitoring in a Power Module Using On-State Resistance and Case Temperature. IEEE Access 6 (2018)
Liangming Pan, Chengjiang Li, Juanzi Li, Jie Tang
Prerequisite Relation Learning for Concepts in MOOCs. ACL (1) (2017)
Liangming Pan, Xiaochen Wang, Chengjiang Li, Juanzi Li, Jie Tang
Course Concept Extraction in MOOCs via Embedding-Based Graph Propagation. IJCNLP(1) (2017)
Zhigang Wang, Liangming Pan, Juanzi Li, Shuangjie Li, Mingyang Li, Jie Tang
Boosting to Build a Large-Scale Cross-Lingual Ontology. CCKS (2016)
Yan Zhang, Hailong Jin, Liangming Pan, Juan-Zi Li
RiMOM results for OAEI 2016. OM@ISWC (2016)
Liangming Pan, Zhigang Wang, Juanzi Li, Jie Tang
Domain Specific Cross-Lingual Knowledge Linking Based on Similarity Flooding. KSEM (2016)