Peiwen Yuan

According to our database, Peiwen Yuan authored at least 14 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Instruction Embedding: Latent Representations of Instructions Towards Task Identification.

Yiwei Li, Jiayi Shi, Shaoxiong Feng, Peiwen Yuan, Xinglin Wang, Boyuan Pan, Heda Wang, Yao Hu, Kan Li

CoRR, 2024

Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning.

Xinglin Wang, Shaoxiong Feng, Yiwei Li, Peiwen Yuan, Yueqi Zhang, Boyuan Pan, Heda Wang, Yao Hu, Kan Li

CoRR, 2024

CogLM: Tracking Cognitive Development of Large Language Models.

Xinglin Wang, Peiwen Yuan, Shaoxiong Feng, Yiwei Li, Boyuan Pan, Heda Wang, Yao Hu, Kan Li

CoRR, 2024

BatchEval: Towards Human-like Text Evaluation.

Peiwen Yuan, Shaoxiong Feng, Yiwei Li, Xinglin Wang, Boyuan Pan, Heda Wang, Kan Li

CoRR, 2024

Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning.

Yiwei Li, Peiwen Yuan, Shaoxiong Feng, Boyuan Pan, Xinglin Wang, Bin Sun, Heda Wang, Kan Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Focused Large Language Models are Stable Many-Shot Learners.

Peiwen Yuan, Shaoxiong Feng, Yiwei Li, Xinglin Wang, Yueqi Zhang, Chuyi Tan, Boyuan Pan, Heda Wang, Yao Hu, Kan Li

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Generative Dense Retrieval: Memory Can Be a Burden.

Peiwen Yuan, Xinglin Wang, Shaoxiong Feng, Boyuan Pan, Yiwei Li, Heda Wang, Xupeng Miao, Kan Li

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

BatchEval: Towards Human-like Text Evaluation.

Peiwen Yuan, Shaoxiong Feng, Yiwei Li, Xinglin Wang, Boyuan Pan, Heda Wang, Yao Hu, Kan Li

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Poor-Supervised Evaluation for SuperLLM via Mutual Consistency.

Peiwen Yuan, Shaoxiong Feng, Yiwei Li, Xinglin Wang, Boyuan Pan, Heda Wang, Yao Hu, Kan Li

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Integrate the Essence and Eliminate the Dross: Fine-Grained Self-Consistency for Free-Form Language Generation.

Xinglin Wang, Yiwei Li, Shaoxiong Feng, Peiwen Yuan, Boyuan Pan, Heda Wang, Yao Hu, Kan Li

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Turning Dust into Gold: Distilling Complex Reasoning Capabilities from LLMs by Leveraging Negative Data.

Yiwei Li, Peiwen Yuan, Shaoxiong Feng, Boyuan Pan, Bin Sun, Xinglin Wang, Heda Wang, Kan Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Is Channel Independent strategy optimal for Time Series Forecasting?

Peiwen Yuan, Changsheng Zhu

CoRR, 2023

Better Correlation and Robustness: A Distribution-Balanced Self-Supervised Learning Framework for Automatic Dialogue Evaluation.

Peiwen Yuan, Xinglin Wang, Jiayi Shi, Bin Sun, Yiwei Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Normalized Activation Function: Toward Better Convergence.

Peiwen Yuan, Changsheng Zhu

CoRR, 2022