Sun, Le

Benchmarking Large Language Models in Retrieval-Augmented Generation

Chen, J., Lin, H., Han, X., & Sun, L. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 455

Benchmarking Large Language Models in Retrieval-Augmented Generation

Chen, J., Lin, H., Han, X., & Sun, L. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence

Topic ModelingInformation Retrieval and Search Behavior

Cited by 454

Sequence-to-Action: End-to-End Semantic Graph Generation for Semantic Parsing

Chen, B., Sun, L., & Han, X. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 69

CRUXEVAL-X: A Benchmark for Multilingual Code Reasoning, Understanding and Execution

Xu, R., Cao, J., Lu, Y., Wen, M., Lin, H., Han, X., He, B., Cheung, S.-C., & Sun, L. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Software Engineering ResearchTeaching and Learning Programming

Cited by 35

Influence of External Information on Large Language Models Mirrors Social Cognitive Patterns

Bian, N., Lin, H., Liu, P., Lu, Y., Zhang, C., He, B., Han, X., & Sun, L. (2023) · arXiv

Ethics and Social Impacts of AIOpinion Dynamics and Social Influence

Cited by 24

The Life Cycle of Knowledge in Big Language Models: A Survey

Cao, B., Lin, H., Han, X., & Sun, L. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 18

The Life Cycle of Knowledge in Big Language Models: A Survey

Cao, B., Lin, H., Han, X., & Sun, L. (2024) · Machine Intelligence Research

Topic ModelingNatural Language Processing Techniques

Cited by 18

ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases

Tang, Q., Deng, Z., Lin, H., Han, X., Liang, Q., Cao, B., & Sun, L. (2023) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 16

Hidding the Ghostwriters: An Adversarial Evaluation of AI-Generated Student Essay Detection

Peng, X., Zhou, Y., He, B., Sun, L., & Sun, Y. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Adversarial Robustness in Machine LearningAuthorship Attribution and Profiling

Cited by 16

Hidding the Ghostwriters: An Adversarial Evaluation of AI-Generated Student Essay Detection

Peng, X., Zhou, Y., He, B., Sun, L., & Sun, Y. (2024) · arXiv

Adversarial Robustness in Machine LearningAuthorship Attribution and Profiling

Cited by 16

Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases

Cao, B., Lin, H., Han, X., Sun, L., Yan, L., Liao, M., Xue, T., & Xu, J. (2021) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 10

Retentive or forgetful? diving into the knowledge memorizing mechanism of language models

Cao, B., Tang, Q., Lin, H., Jiang, S., Dong, B., Han, X., Chen, J., Wang, T., & Sun, L. (2024) · Proceedings of the Language Resources and Evaluation Conference

Topic ModelingMemory Processes and Influences

Cited by 4

Spiral of Silence: How is Large Language Model Killing Information Retrieval? -- A Case Study on Open Domain Question Answering

Chen, X., He, B., Lin, H., Han, X., Wang, T., Cao, B., Sun, L., & Sun, Y. (2024) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 1

Beyond Turn Limits: Training Deep Search Agents with Dynamic Context Window

Tang, Q., Xiang, H., Yu, L., Yu, B., Lu, Y., Han, X., Sun, L., Zhang, W., Wang, P., Liu, S., et al. (2025) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0