Qiu, Xipeng

Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication

Yin, Z., Sun, Q., Chang, C., Guo, Q., Dai, J., Huang, X., & Qiu, X. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 21

Calibrating the Confidence of Large Language Models by Eliciting Fidelity

Zhang, M., Huang, M., Shi, R., Guo, L., Peng, C., Yan, P., Zhou, Y., & Qiu, X. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 11

Origin Tracing and Detecting of LLMs

Li, L., Wang, P., Ren, K., Sun, T., & Qiu, X. (2023) · arXiv

Authorship Attribution and ProfilingDigital Media Forensic Detection

Cited by 8

L-Eval: Instituting Standardized Evaluation for Long Context Language Models

An, C., Gong, S., Zhong, M., Zhao, X., Li, M., Zhang, J., Kong, L., & Qiu, X. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 6

Towards Economical Inference: Enabling DeepSeek’s Multi-Head Latent Attention in Any Transformer-based LLMs

Ji, T., Guo, B., Wu, Y., Guo, Q., Shenlixing, S., Chenzhan, C., Qiu, X., Zhang, Q., & Gui, T. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 6

Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?

Zeng, Z., Cheng, Q., Yin, Z., Zhou, Y., & Qiu, X. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 6

Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?

Zeng, Z., Cheng, Q., Yin, Z., Zhou, Y., & Qiu, X. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 6

InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning

Ying, H., Zhang, S., Li, L., Zhou, Z., Shao, Y., Fei, Z., Ma, Y., Hong, J., Liu, K., Wang, Z., et al. (2024) · arXiv

Topic ModelingMathematics, Computing, and Information Processing

Cited by 3

Explicit Memory Learning with Expectation Maximization

Yin, Z., Sun, Q., Guo, Q., Zeng, Z., Cheng, Q., Qiu, X., & Huang, X. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 1

FastMCTS: A Simple Sampling Strategy for Data Synthesis

Li, P., Lv, K., Shao, Y., Ma, Y., Li, L., Zheng, X., Qiu, X., & Guo, Q. (2025) · arXiv

Markov Chains and Monte Carlo MethodsArtificial Intelligence in Games

Cited by 0

LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models

Fei, S., Wang, S., Shi, J., Dai, Z., Cai, J., Qian, P., Ji, L., He, X., Zhang, S., Fei, Z., et al. (2025) · arXiv

Robot Manipulation and LearningMultimodal Machine Learning Applications

Cited by 0

Can Language Models Learn to Skip Steps?

Liu, T., Guo, Q., Hu, X., Jiayang, C., Zhang, Y., Qiu, X., & Zhang, Z. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Case2Code: Scalable Synthetic Data for Code Generation

Shao, Y., Li, L., Ma, Y., Li, P., Song, D., Cheng, Q., Li, S., Li, X., Wang, P., Guo, Q., et al. (2024) · arXiv

Software Engineering ResearchTeaching and Learning Programming

Cited by 0