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Peng Ye

ICLR 2026×5ACL 2026×3AAAI 2026×2CVPR 2026效率与系统多模态数据与预训练评测与基准对齐与偏好
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0 一作 · 11 篇 · ICLR 2026 / ACL 2026 / AAAI 2026 / CVPR 2026

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2026 顶会论文

11
作者位次 #2/5ICLR 2026Poster· Deep Learning / Everything Else

E²LoRA: Efficient and Effective Low-Rank Adaptation with Entropy-Guided Adaptive Sharing

Minglei Li · Peng Ye · Jingqi Ye · Haonan He · Tao Chen

效率与系统OpenReview
作者位次 #6/6ICLR 2026Poster· Deep Learning / Everything Else

Gradient Intrinsic Dimensionality Alignment:Narrowing The Gap Between Low-Rank Adaptation and Full Fine-Tuning

Jingqi Ye · Haonan He · Minglei Li · Fujun Han · Tao Chen · Peng Ye

对齐与偏好强化学习与后训练效率与系统OpenReview
作者位次 #10/10ACL 2026Poster· Natural Language Processing

A Scalable Multi- LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement

Shengji Tang · Jianjian Cao · Weihao Lin · Jiale Hong · Bo Zhang · Shuyue Hu · LEI BAI · Tao Chen · Wanli Ouyang · Peng Ye

摘要

Existing multi-LLM collaboration systems often encounter scalability challenges when integrating new LLMs and tasks, leading to suboptimal performance. To address this, we propose SMCS, a Scalable Multi-LLM Collaboration System designed to effectively coordinate multiple open-source LLMs. The sys...

可解释性评测与基准数据与预训练OpenReview 项目页
作者位次 #2/8ACL 2026Poster· Natural Language Processing

Nature-Inspired Population-Based Evolution of Large Language Models

Yiqun Zhang · Peng Ye · Xiaocui Yang · Shi Feng · Shufei Zhang · LEI BAI · Wanli Ouyang · Shuyue Hu

摘要

Evolution, the engine behind the survival and growth of life on Earth, operates through the population-based process of reproduction. Inspired by this principle, this paper formally defines a newly emerging problem: the population-based evolution of large language models (LLMs). We introduce a no...

数据与预训练代码理论与学习动力学OpenReview 项目页
作者位次 #9/12ACL 2026Findings· Findings of ACL

LLMR outer B ench: A Massive Benchmark and Unified Framework for LLM Routing

Hao Li · Yiqun Zhang · Zhaoyan Guo · Chenxu Wang · Shengji Tang · Qiaosheng Zhang · Yang Chen · Biqing Qi · Peng Ye · LEI BAI · Zhen Wang · Shuyue Hu

摘要

Large language model (LLM) routing assigns each query to the most suitable model from an ensemble. We introduce LLMRouterBench, a large-scale benchmark and unified framework for LLM routing. It comprises over 400K instances from 21 datasets and 33 models. Moreover, it provides comprehensive metri...

评测与基准效率与系统数据与预训练OpenReview 项目页
作者位次 #2/5AAAI 2026Poster· Artificial Intelligence

Mitigating Low-Quality Reasoning in MLLMs: Self-Driven Refined Multimodal CoT with Selective Thinking and Step-wise Visual Enhancement

Chongjun Tu · Peng Ye · Dongzhan Zhou · Tao Chen · Wanli Ouyang

推理多模态OpenReview

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