Liangming Pan

According to our database, Liangming Pan authored at least 61 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Updating Language Models with Unstructured Facts: Towards Practical Knowledge Editing.

Xiaobao Wu, Liangming Pan, William Yang Wang, Anh Tuan Luu

CoRR, 2024

A Survey on Data Selection for Language Models.

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

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, Aixin Sun, Hany Hassan Awadalla, Weizhu Chen

CoRR, 2024

Perils of Self-Feedback: Self-Bias Amplifies in Large Language Models.

Wenda Xu, Guanglei Zhu, Xuandong Zhao, Liangming Pan, Lei Li, William Yang Wang

CoRR, 2024

Understanding the 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

CoRR, 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

2023

Efficient Online Data Mixing For Language Model Pre-Training.

Alon Albalak, Liangming Pan, Colin Raffel, 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, Preslav Nakov

CoRR, 2023

A Survey on Detection of LLMs-Generated Content.

Xianjun Yang, Liangming Pan, Xuandong Zhao, Haifeng Chen, Linda R. Petzold, William Yang Wang, Wei Cheng

CoRR, 2023

Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution.

Xinze Li, Yixin Cao, Liangming Pan, Yubo Ma, Aixin Sun

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, William Yang Wang

CoRR, 2023

INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback.

Wenda Xu, Danqing Wang, Liangming Pan, Zhenqiao Song, Markus Freitag, William Yang Wang, Lei Li

CoRR, 2023

Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models.

Alfonso Amayuelas, Liangming Pan, Wenhu Chen, William Yang Wang

CoRR, 2023

Mitigating Language Model Hallucination with Interactive Question-Knowledge Alignment.

Shuo Zhang, Liangming Pan, Junzhou Zhao, William Yang Wang

CoRR, 2023

Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning.

Liangming Pan, Alon Albalak, Xinyi Wang, William Yang Wang

CoRR, 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

Hashtag-Guided Low-Resource Tweet Classification.

Shizhe Diao, Sedrick Scott Keh, Liangming Pan, Zhiliang Tian, Yan Song, Tong Zhang

Proceedings of the ACM Web Conference 2023, 2023

Investigating Zero- and Few-shot Generalization in Fact Verification.

Liangming Pan, Yunxiang Zhang, Min-Yen Kan

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Attacking Open-domain Question Answering by Injecting Misinformation.

Liangming Pan, Wenhu Chen, Min-Yen Kan, William Yang Wang

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

FollowupQG: Towards information-seeking follow-up question generation.

Yan Meng, Liangming Pan, Yixin Cao, Min-Yen Kan

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback.

Wenda Xu, Danqing Wang, Liangming Pan, Zhenqiao Song, Markus Freitag, William Wang, Lei Li

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

QACheck: A Demonstration System for Question-Guided Multi-Hop Fact-Checking.

Liangming Pan, Xinyuan Lu, Min-Yen Kan, Preslav Nakov

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning.

Liangming Pan, Alon Albalak, Xinyi Wang, William Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models.

Deepak Nathani, David Wang, Liangming Pan, William Yang Wang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables.

Xinyuan Lu, Liangming Pan, Qian Liu, Preslav Nakov, Min-Yen Kan

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling.

Xiaobao Wu, Xinshuai Dong, Thong Nguyen, Chaoqun Liu, Liangming Pan, Anh Tuan Luu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Modeling and Leveraging Prerequisite Context in Recommendation.

Hengchang Hu, Liangming Pan, Yiding Ran, Min-Yen Kan

CoRR, 2022

Ingredient-enriched Recipe Generation from Cooking Videos.

Jianlong Wu, Liangming Pan, Jingjing Chen, Yu-Gang Jiang

Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

Food Nutrient Composition Analysis Based on Adaptive AP Clustering Algorithm.

Li Shi, Liangming Pan

Proceedings of the 7th International Conference on Intelligent Information Processing, 2022

KHANQ: A Dataset for Generating Deep Questions in Education.

Huanli Gong, Liangming Pan, Hengchang Hu

Proceedings of the 29th International Conference on Computational Linguistics, 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

Proceedings of the 29th International Conference on Computational Linguistics, 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, Juanzi Li, Bin He, Hanwang Zhang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Interpreting the Robustness of Neural NLP Models to Textual Perturbations.

Yunxiang Zhang, Liangming Pan, Samson Tan, Min-Yen Kan

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

A Hybrid Approach for Detecting Prerequisite Relations in Multi-Modal Food Recipes.

Liangming Pan, Jingjing Chen, Shaoteng Liu, Chong-Wah Ngo, Min-Yen Kan, Tat-Seng Chua

IEEE Trans. Multim., 2021

ContraQA: Question Answering under Contradicting Contexts.

Liangming Pan, Wenhu Chen, Min-Yen Kan, William Yang Wang

CoRR, 2021

Causally Estimating the Sensitivity of Neural NLP Models to Spurious Features.

Yunxiang Zhang, Liangming Pan, Samson Tan, Min-Yen Kan

CoRR, 2021

Unsupervised Multi-hop Question Answering by Question Generation.

Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Zero-shot Fact Verification by Claim Generation.

Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment.

Zhiyuan Liu, Yixin Cao, Liangming Pan, Juanzi Li, Zhiyuan Liu, Tat-Seng Chua

CoRR, 2020

KQA Pro: A Large Diagnostic Dataset for Complex Question Answering over Knowledge Base.

Jiaxin Shi, Shulin Cao, Liangming Pan, Yutong Xiang, Lei Hou, Juanzi Li, Hanwang Zhang, Bin He

CoRR, 2020

Multi-modal Cooking Workflow Construction for Food Recipes.

Liangming Pan, Jingjing Chen, Jianlong Wu, Shaoteng Liu, Chong-Wah Ngo, Min-Yen Kan, Yu-Gang Jiang, Tat-Seng Chua

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment.

Zhiyuan Liu, Yixin Cao, Liangming Pan, Juanzi Li, Tat-Seng Chua

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Evaluation of College Students' Employment Quality Based on Analytic Hierarchy Process.

Li Shi, Liangming Pan

Proceedings of the EBIMCS 2020: 3rd International Conference on E-Business, 2020

Hyperbolic Visual Embedding Learning for Zero-Shot Recognition.

Shaoteng Liu, Jingjing Chen, Liangming Pan, Chong-Wah Ngo, Tat-Seng Chua, Yu-Gang Jiang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Exploring Question-Specific Rewards for Generating Deep Questions.

Yuxi Xie, Liangming Pan, Dongzhe Wang, Min-Yen Kan, Yansong Feng

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Semantic Graphs for Generating Deep Questions.

Liangming Pan, Yuxi Xie, Yansong Feng, Tat-Seng Chua, Min-Yen Kan

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

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

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Zero-Shot Ingredient Recognition by Multi-Relational Graph Convolutional Network.

Jingjing Chen, Liangming Pan, Zhipeng Wei, Xiang Wang, Chong-Wah Ngo, Tat-Seng Chua

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Recent Advances in Neural Question Generation.

Liangming Pan, Wenqiang Lei, Tat-Seng Chua, Min-Yen Kan

CoRR, 2019

Resource Mention Extraction for MOOC Discussion Forums.

Ya-Hui An, Liangming Pan, Min-Yen Kan, Qiang Dong, Yan Fu

IEEE Access, 2019

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

Predicting Concept-Based Research Trends with Rhetorical Framing.

Jifan Yu, Liangming Pan, Juanzi Li, Xiaoping Du

Proceedings of the Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding, 2018

2017

Course Concept Extraction in MOOCs via Embedding-Based Graph Propagation.

Liangming Pan, Xiaochen Wang, Chengjiang Li, Juanzi Li, Jie Tang

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Prerequisite Relation Learning for Concepts in MOOCs.

Liangming Pan, Chengjiang Li, Juanzi Li, Jie Tang

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

RiMOM results for OAEI 2016.

Yan Zhang, Hailong Jin, Liangming Pan, Juan-Zi Li

Proceedings of the 11th International Workshop on Ontology Matching co-located with the 15th International Semantic Web Conference (ISWC 2016), 2016

Domain Specific Cross-Lingual Knowledge Linking Based on Similarity Flooding.

Liangming Pan, Zhigang Wang, Juanzi Li, Jie Tang

Proceedings of the Knowledge Science, Engineering and Management, 2016

Boosting to Build a Large-Scale Cross-Lingual Ontology.

Zhigang Wang, Liangming Pan, Juanzi Li, Shuangjie Li, Mingyang Li, Jie Tang

Proceedings of the Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data, 2016