Peiwen Yuan

Orcid: 0000-0002-5529-1576

According to our database1, Peiwen Yuan authored at least 27 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2026
FRNet: A lightweight feature reconfiguration network for infrared detection of substation equipment and instruments.
Digit. Signal Process., 2026

2025
Every Rollout Counts: Optimal Resource Allocation for Efficient Test-Time Scaling.
CoRR, June, 2025

Mind the Quote: Enabling Quotation-Aware Dialogue in LLMs via Plug-and-Play Modules.
CoRR, May, 2025

Silencer: From Discovery to Mitigation of Self-Bias in LLM-as-Benchmark-Generator.
CoRR, May, 2025

Speculative Decoding for Multi-Sample Inference.
CoRR, March, 2025

InsBank: Evolving Instruction Subset for Ongoing Alignment.
CoRR, February, 2025

LLM-Powered Benchmark Factory: Reliable, Generic, and Efficient.
CoRR, February, 2025

LMFC-DETR: A Lightweight Model for Real-Time Detection of Suspended Foreign Objects on Power Lines.
IEEE Trans. Instrum. Meas., 2025

CogLM: Tracking Cognitive Development of Large Language Models.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

UniCBE: An Uniformity-driven Comparing Based Evaluation Framework with Unified Multi-Objective Optimization.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Beyond One-Size-Fits-All: Tailored Benchmarks for Efficient Evaluation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

From Sub-Ability Diagnosis to Human-Aligned Generation: Bridging the Gap for Text Length Control via MarkerGen.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Revisiting Self-Consistency from Dynamic Distributional Alignment Perspective on Answer Aggregation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning.
CoRR, 2024

BatchEval: Towards Human-like Text Evaluation.
CoRR, 2024

Instruction Embedding: Latent Representations of Instructions Towards Task Identification.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Focused Large Language Models are Stable Many-Shot Learners.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Generative Dense Retrieval: Memory Can Be a Burden.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

BatchEval: Towards Human-like Text Evaluation.
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.
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.
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.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Is Channel Independent strategy optimal for Time Series Forecasting?
CoRR, 2023

Better Correlation and Robustness: A Distribution-Balanced Self-Supervised Learning Framework for Automatic Dialogue Evaluation.
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.
CoRR, 2022


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