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2020 – today
- 2024
[j6]Liangming Pan, Michael Saxon, Wenda Xu, Deepak Nathani, Xinyi Wang, William Yang Wang:
Automatically Correcting Large Language Models: Surveying the Landscape of Diverse Automated Correction Strategies. Trans. Assoc. Comput. Linguistics 12: 484-506 (2024)- [j5]Liangming Pan, Michael Saxon, Wenda Xu, Deepak Nathani, Xinyi Wang, William Yang Wang:
Automatically Correcting Large Language Models: Surveying the Landscape of Diverse Automated Correction Strategies. Trans. Assoc. Comput. Linguistics 12: 484-506 (2024) - [j4]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) - [c44]Xinze Li, Yixin Cao, Liangming Pan, Yubo Ma, Aixin Sun:
Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution. ACL (Findings) 2024: 493-516 - [c43]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: 2025-2038 - [c42]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: 3088-3105 - [c41]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: 6416-6432 - [c40]Jundong Xu, Hao Fei, Liangming Pan, Qian Liu, Mong-Li Lee, Wynne Hsu:
Faithful Logical Reasoning via Symbolic Chain-of-Thought. ACL (1) 2024: 13326-13365 - [c39]Wenda Xu, Guanglei Zhu, Xuandong Zhao, Liangming Pan, Lei Li, William Wang:
Pride and Prejudice: LLM Amplifies Self-Bias in Self-Refinement. ACL (1) 2024: 15474-15492 - [c38]Xinyi Wang, Alfonso Amayuelas, Kexun Zhang, Liangming Pan, Wenhu Chen, William Yang Wang:
Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation. ICML 2024 - [c37]Iain Weissburg, Mehir Arora, Xinyi Wang, Liangming Pan, William Yang Wang:
Position: AI/ML Influencers Have a Place in the Academic Process. ICML 2024 - [i46]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 abs/2401.13782 (2024) - [i45]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 abs/2402.03268 (2024) - [i44]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 abs/2402.11436 (2024) - [i43]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 abs/2402.11451 (2024) - [i42]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 abs/2402.16827 (2024) - [i41]Xiaobao Wu, Liangming Pan, William Yang Wang, Anh Tuan Luu:
Updating Language Models with Unstructured Facts: Towards Practical Knowledge Editing. CoRR abs/2402.18909 (2024) - [i40]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 abs/2405.17957 (2024) - [i39]Jundong Xu, Hao Fei, Liangming Pan, Qian Liu, Mong-Li Lee, Wynne Hsu:
Faithful Logical Reasoning via Symbolic Chain-of-Thought. CoRR abs/2405.18357 (2024) - [i38]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 abs/2406.14711 (2024) - [i37]Kyle Wong, Alfonso Amayuelas, Liangming Pan, William Yang Wang:
DistiLRR: Transferring Code Repair for Low-Resource Programming Languages. CoRR abs/2406.14867 (2024) - [i36]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 abs/2406.19215 (2024) - [i35]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 abs/2407.01523 (2024) - [i34]Xinyuan Lu, Liangming Pan, Yubo Ma, Preslav Nakov, Min-Yen Kan:
TART: An Open-Source Tool-Augmented Framework for Explainable Table-based Reasoning. CoRR abs/2409.11724 (2024) - 2023
- [c36]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: 13763-13771 - [c35]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: 6981-7004 - [c34]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: 10785-10803 - [c33]Liangming Pan, Xinyuan Lu, Min-Yen Kan, Preslav Nakov:
QACheck: A Demonstration System for Question-Guided Multi-Hop Fact-Checking. EMNLP (Demos) 2023: 264-273 - [c32]Yikang Pan, Liangming Pan, Wenhu Chen, Preslav Nakov, Min-Yen Kan, William Yang Wang:
On the Risk of Misinformation Pollution with Large Language Models. EMNLP (Findings) 2023: 1389-1403 - [c31]Liangming Pan, Alon Albalak, Xinyi Wang, William Yang Wang:
Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning. EMNLP (Findings) 2023: 3806-3824 - [c30]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: 5967-5994 - [c29]Deepak Nathani, David Wang, Liangming Pan, William Yang Wang:
MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models. EMNLP 2023: 6591-6616 - [c28]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: 7787-7813 - [c27]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: 13093-13111 - [c26]Yan Meng, Liangming Pan, Yixin Cao, Min-Yen Kan:
FollowupQG: Towards information-seeking follow-up question generation. IJCNLP (1) 2023: 252-271 - [c25]Liangming Pan, Yunxiang Zhang, Min-Yen Kan:
Investigating Zero- and Few-shot Generalization in Fact Verification. IJCNLP (1) 2023: 511-524 - [c24]Liangming Pan, Wenhu Chen, Min-Yen Kan, William Yang Wang:
Attacking Open-domain Question Answering by Injecting Misinformation. IJCNLP (1) 2023: 525-539 - [c23]Shizhe Diao
, Sedrick Scott Keh, Liangming Pan, Zhiliang Tian, Yan Song, Tong Zhang:
Hashtag-Guided Low-Resource Tweet Classification. WWW 2023: 1415-1426 - [i33]Shizhe Diao, Sedrick Scott Keh, Liangming Pan, Zhiliang Tian, Yan Song, Tong Zhang:
Hashtag-Guided Low-Resource Tweet Classification. CoRR abs/2302.10143 (2023) - [i32]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 abs/2304.03544 (2023) - [i31]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 abs/2305.03088 (2023) - [i30]Liangming Pan, Alon Albalak, Xinyi Wang, William Yang Wang:
Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning. CoRR abs/2305.12295 (2023) - [i29]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 abs/2305.12744 (2023) - [i28]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 abs/2305.13186 (2023) - [i27]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 abs/2305.13661 (2023) - [i26]Shuo Zhang, Liangming Pan, Junzhou Zhao, William Yang Wang:
Mitigating Language Model Hallucination with Interactive Question-Knowledge Alignment. CoRR abs/2305.13669 (2023) - [i25]Alfonso Amayuelas, Liangming Pan, Wenhu Chen, William Yang Wang:
Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models. CoRR abs/2305.13712 (2023) - [i24]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 abs/2305.14282 (2023) - [i23]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 abs/2308.03188 (2023) - [i22]Yan Meng, Liangming Pan, Yixin Cao, Min-Yen Kan:
FOLLOWUPQG: Towards Information-Seeking Follow-up Question Generation. CoRR abs/2309.05007 (2023) - [i21]Liangming Pan, Yunxiang Zhang, Min-Yen Kan:
Investigating Zero- and Few-shot Generalization in Fact Verification. CoRR abs/2309.09444 (2023) - [i20]Xinze Li, Yixin Cao, Liangming Pan, Yubo Ma, Aixin Sun:
Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution. CoRR abs/2310.05634 (2023) - [i19]Liangming Pan, Xinyuan Lu, Min-Yen Kan, Preslav Nakov:
QACHECK: A Demonstration System for Question-Guided Multi-Hop Fact-Checking. CoRR abs/2310.07609 (2023) - [i18]Deepak Nathani, David Wang, Liangming Pan, William Yang Wang:
MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models. CoRR abs/2310.12426 (2023) - [i17]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 abs/2310.15654 (2023) - [i16]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 abs/2311.09000 (2023) - [i15]Alon Albalak, Liangming Pan, Colin Raffel, William Yang Wang:
Efficient Online Data Mixing For Language Model Pre-Training. CoRR abs/2312.02406 (2023) - 2022
- [c22]Yunxiang Zhang, Liangming Pan, Samson Tan, Min-Yen Kan:
Interpreting the Robustness of Neural NLP Models to Textual Perturbations. ACL (Findings) 2022: 3993-4007 - [c21]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: 6101-6119 - [c20]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: 580-591 - [c19]Huanli Gong, Liangming Pan, Hengchang Hu:
KHANQ: A Dataset for Generating Deep Questions in Education. COLING 2022: 5925-5938 - [c18]Li Shi, Liangming Pan:
Food Nutrient Composition Analysis Based on Adaptive AP Clustering Algorithm. ICIIP 2022: 17:1-17:7 - [c17]Jianlong Wu, Liangming Pan, Jingjing Chen, Yu-Gang Jiang:
Ingredient-enriched Recipe Generation from Cooking Videos. ICMR 2022: 249-257 - [i14]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 abs/2209.06652 (2022) - [i13]Hengchang Hu, Liangming Pan, Yiding Ran, Min-Yen Kan:
Modeling and Leveraging Prerequisite Context in Recommendation. CoRR abs/2209.11471 (2022) - 2021
- [j3]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: 4491-4501 (2021) - [c16]Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang:
Zero-shot Fact Verification by Claim Generation. ACL/IJCNLP (2) 2021: 476-483 - [c15]Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang:
Unsupervised Multi-hop Question Answering by Question Generation. NAACL-HLT 2021: 5866-5880 - [i12]Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang:
Zero-shot Fact Verification by Claim Generation. CoRR abs/2105.14682 (2021) - [i11]Yunxiang Zhang, Liangming Pan, Samson Tan, Min-Yen Kan:
Causally Estimating the Sensitivity of Neural NLP Models to Spurious Features. CoRR abs/2110.07159 (2021) - [i10]Liangming Pan, Wenhu Chen, Min-Yen Kan, William Yang Wang:
ContraQA: Question Answering under Contradicting Contexts. CoRR abs/2110.07803 (2021) - 2020
- [c14]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: 10542-10550 - [c13]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: 1061-1071 - [c12]Liangming Pan, Yuxi Xie, Yansong Feng, Tat-Seng Chua, Min-Yen Kan:
Semantic Graphs for Generating Deep Questions. ACL 2020: 1463-1475 - [c11]Yuxi Xie, Liangming Pan, Dongzhe Wang, Min-Yen Kan, Yansong Feng:
Exploring Question-Specific Rewards for Generating Deep Questions. COLING 2020: 2534-2546 - [c10]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: 9270-9278 - [c9]Li Shi, Liangming Pan:
Evaluation of College Students' Employment Quality Based on Analytic Hierarchy Process. EBIMCS 2020: 172-175 - [c8]Zhiyuan Liu, Yixin Cao, Liangming Pan, Juanzi Li, Tat-Seng Chua:
Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment. EMNLP (1) 2020: 6355-6364 - [c7]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: 1132-1141 - [i9]Liangming Pan, Yuxi Xie, Yansong Feng, Tat-Seng Chua, Min-Yen Kan:
Semantic Graphs for Generating Deep Questions. CoRR abs/2004.12704 (2020) - [i8]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 abs/2005.00701 (2020) - [i7]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 abs/2007.03875 (2020) - [i6]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 abs/2008.09151 (2020) - [i5]Zhiyuan Liu, Yixin Cao, Liangming Pan, Juanzi Li, Zhiyuan Liu, Tat-Seng Chua:
Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment. CoRR abs/2010.03249 (2020) - [i4]Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang:
Unsupervised Multi-hop Question Answering by Question Generation. CoRR abs/2010.12623 (2020) - [i3]Yuxi Xie, Liangming Pan, Dongzhe Wang, Min-Yen Kan, Yansong Feng:
Exploring Question-Specific Rewards for Generating Deep Questions. CoRR abs/2011.01102 (2020)
2010 – 2019
- 2019
- [j2]Ya-Hui An, Liangming Pan, Min-Yen Kan, Qiang Dong, Yan Fu:
Resource Mention Extraction for MOOC Discussion Forums. IEEE Access 7: 87887-87900 (2019) - [i2]Liangming Pan, Wenqiang Lei, Tat-Seng Chua, Min-Yen Kan:
Recent Advances in Neural Question Generation. CoRR abs/1905.08949 (2019) - 2018
- [j1]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: 67108-67117 (2018) - [c6]Jifan Yu, Liangming Pan, Juanzi Li, Xiaoping Du:
Predicting Concept-Based Research Trends with Rhetorical Framing. CCKS 2018: 116-128 - [i1]Ya-Hui An, Liangming Pan, Min-Yen Kan, Qiang Dong, Yan Fu:
Resource Mention Extraction for MOOC Discussion Forums. CoRR abs/1811.08853 (2018) - 2017
- [c5]Liangming Pan, Chengjiang Li, Juanzi Li, Jie Tang:
Prerequisite Relation Learning for Concepts in MOOCs. ACL (1) 2017: 1447-1456 - [c4]Liangming Pan, Xiaochen Wang, Chengjiang Li, Juanzi Li, Jie Tang:
Course Concept Extraction in MOOCs via Embedding-Based Graph Propagation. IJCNLP(1) 2017: 875-884 - 2016
- [c3]Zhigang Wang, Liangming Pan, Juanzi Li, Shuangjie Li, Mingyang Li, Jie Tang:
Boosting to Build a Large-Scale Cross-Lingual Ontology. CCKS 2016: 41-53 - [c2]Liangming Pan, Zhigang Wang, Juanzi Li, Jie Tang:
Domain Specific Cross-Lingual Knowledge Linking Based on Similarity Flooding. KSEM 2016: 426-438 - [c1]Yan Zhang, Hailong Jin, Liangming Pan, Juan-Zi Li:
RiMOM results for OAEI 2016. OM@ISWC 2016: 210-216
Coauthor Index
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