Pan, Liangming

On the Risk of Misinformation Pollution with Large Language Models

Pan, Y., Pan, L., Chen, W., Nakov, P., Kan, M.-Y., & Wang, W. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023

Misinformation and Its ImpactsAdversarial Robustness in Machine Learning

Cited by 210

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

Pan, L., Albalak, A., Wang, X., & Wang, W. Y. (2023) · arXiv

Logic, Reasoning, and KnowledgeTopic Modeling

Cited by 144

Gödel Agent: A Self-Referential Agent Framework for Recursively Self-Improvement

Yin, X., Wang, X., Pan, L., Lin, L., Wan, X., & Wang, W. Y. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

AI-based Problem Solving and PlanningEvolutionary Algorithms and Applications

Cited by 105

Faithful Logical Reasoning via Symbolic Chain-of-Thought

Xu, J., Fei, H., Pan, L., Liu, Q., Lee, M.-L., & Hsu, W. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Logic, Reasoning, and KnowledgeTopic Modeling

Cited by 53

MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate

Amayuelas, A., Yang, X., Antoniades, A., Hua, W., Pan, L., & Wang, W. Y. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 15

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

Amayuelas, A., Wong, K., Pan, L., Chen, W., & Wang, W. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 15

SciAgent: Tool-augmented Language Models for Scientific Reasoning

Ma, Y., Gou, Z., Hao, J., Xu, R., Wang, S., Pan, L., Yang, Y., Cao, Y., & Sun, A. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Topic ModelingMultimodal Machine Learning Applications

Cited by 14

A Survey on Data Selection for Language Models

Albalak, A., Elazar, Y., Xie, S. M., Longpre, S., Lambert, N., Wang, X., Muennighoff, N., Hou, B., Pan, L., Jeong, H., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 12

Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers

Wang, Y., Reddy, R. G., Mujahid, Z. M., Arora, A., Rubashevskii, A., Geng, J., Afzal, O. M., Pan, L., Borenstein, N., Pillai, A., et al. (2023) · arXiv

Misinformation and Its ImpactsTopic Modeling

Cited by 3

SciAgent: Tool-augmented Language Models for Scientific Reasoning

Ma, Y., Gou, Z., Hao, J., Xu, R., Wang, S., Pan, L., Yang, Y., Cao, Y., Sun, A., Awadalla, H., et al. (2024) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 2