Liangming Pan
Orcid: 0000-0002-9184-2996
According to our database1,
Liangming Pan
authored at least 78 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
Automatically Correcting Large Language Models: <i>Surveying the Landscape of Diverse Automated Correction Strategies</i>.
Trans. Assoc. Comput. Linguistics, 2024
CoRR, 2024
Understanding the Interplay between Parametric and Contextual Knowledge for Large Language Models.
CoRR, 2024
CoRR, 2024
CoRR, 2024
MMLongBench-Doc: Benchmarking Long-context Document Understanding with Visualizations.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Updating Language Models with Unstructured Facts: Towards Practical Knowledge Editing.
CoRR, 2024
Tweets to Citations: Unveiling the Impact of Social Media Influencers on AI Research Visibility.
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Factcheck-GPT: End-to-End Fine-Grained Document-Level Fact-Checking and Correction of LLM Output.
CoRR, 2023
Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies.
CoRR, 2023
Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models.
CoRR, 2023
Mitigating Language Model Hallucination with Interactive Question-Knowledge Alignment.
CoRR, 2023
Modeling What-to-ask and How-to-ask for Answer-unaware Conversational Question Generation.
CoRR, 2023
Proceedings of the ACM Web Conference 2023, 2023
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
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
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.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
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.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
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.
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.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022
Proceedings of the 7th International Conference on Intelligent Information Processing, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
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.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
2021
IEEE Trans. Multim., 2021
CoRR, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
CoRR, 2020
KQA Pro: A Large Diagnostic Dataset for Complex Question Answering over Knowledge Base.
CoRR, 2020
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Evaluation of College Students' Employment Quality Based on Analytic Hierarchy Process.
Proceedings of the EBIMCS 2020: 3rd International Conference on E-Business, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the 28th International Conference on Computational Linguistics, 2020
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.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
2018
Condition Monitoring in a Power Module Using On-State Resistance and Case Temperature.
IEEE Access, 2018
Proceedings of the Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding, 2018
2017
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
2016
Proceedings of the 11th International Workshop on Ontology Matching co-located with the 15th International Semantic Web Conference (ISWC 2016), 2016
Proceedings of the Knowledge Science, Engineering and Management, 2016
Proceedings of the Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data, 2016