Qiu, Lili

LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Jiang, H., Wu, Q., Luo, X., Li, D., Lin, C.-Y., Yang, Y., & Qiu, L. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 400

Statistical identification of encrypted Web browsing traffic

Sun, Q., Simon, D. R., Wang, Y.-M., Russell, W., Padmanabhan, V. N., & Qiu, L. (2005) · Proceedings 2002 IEEE Symposium on Security and Privacy

Internet Traffic Analysis and Secure E-votingPrivacy, Security, and Data Protection

Cited by 377

LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Jiang, H., Wu, Q., Lin, C.-Y., Yang, Y., & Qiu, L. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 168

LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Jiang, H., Wu, Q., Lin, C.-Y., Yang, Y., & Qiu, L. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 168

“Combating replay attacks against voice assistants,”

Pradhan, S., Sun, W., Baig, G., & Qiu, L. (2019) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Biometric Identification and SecuritySpeech Recognition and Synthesis

Cited by 67

LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Pan, Z., Wu, Q., Jiang, H., Xia, M., Luo, X., Zhang, J., Lin, Q., Rühle, V., Yang, Y., Lin, C.-Y., et al. (2024) · Findings of the Association for Computational Linguistics: ACL 2024

Topic ModelingNatural Language Processing Techniques

Cited by 58

MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention

Jiang, H., Li, Y., Zhang, C., Wu, Q., Luo, X., Ahn, S., Han, Z., Abdi, A. H., Li, D., Lin, C.-Y., et al. (2024) · arXiv

Topic ModelingAdvanced Neural Network Applications

Cited by 36

LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Jiang, H., Wu, Q., Luo, X., Li, D., Lin, C.-Y., Yang, Y., & Qiu, L. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 12

LLM-RadJudge: Achieving Radiologist-Level Evaluation for X-Ray Report Generation

Wang, Z., Luo, X., Jiang, X., Li, D., & Qiu, L. (2024) · arXiv

Artificial Intelligence in Healthcare and EducationMultimodal Machine Learning Applications

Cited by 7

LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Pan, Z., Wu, Q., Jiang, H., Xia, M., Luo, X., Zhang, J., Lin, Q., Rühle, V., Yang, Y., Lin, C.-Y., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

On Memory Construction and Retrieval for Personalized Conversational Agents

Pan, Z., Wu, Q., Jiang, H., Luo, X., Cheng, H., Li, D., Yang, Y., Lin, C.-Y., Zhao, H. V., Qiu, L., et al. (2025) · arXiv

Speech and dialogue systemsAI in Service Interactions

Cited by 2

SCBench: A KV Cache-Centric Analysis of Long-Context Methods

Li, Y., Jiang, H., Wu, Q., Luo, X., Ahn, S., Zhang, C., Abdi, A. H., Li, D., Gao, J., Yang, Y., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1