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Mo Yu

ICML 2026×3ACL 2026×2AAAI 2026检索与知识推理理论与学习动力学长上下文与架构评测与基准
新星分资深
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一作贡献0
核心/参与27
方向广度16
合作网络12
0 一作 · 6 篇 · ICML 2026 / ACL 2026 / AAAI 2026

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2026 顶会论文

6
作者位次 #2/4ICML 2026Poster· Deep Learning / Large Language Models

How Far Ahead Do LLMs Plan? Uncovering the Latent Horizon in Chain-of-Thought Reasoning

Liyan Xu · Mo Yu · Fandong Meng · Jie Zhou

作者位次 #9/9ACL 2026Poster· Natural Language Processing

Situated Embedding Models for Context-Aware Dense Retrieval

Junjie Wu · Jiangnan Li · Yuqing Li · Lemao Liu · Liyan Xu · Jiwei Li · Dit-Yan Yeung · Jie Zhou · Mo Yu

摘要

Retrieval-augmented generation (RAG) over long documents typically involves splitting the text into smaller chunks, which serve as the basic units for retrieval. However, due to dependencies across the original document, contextual information is often essential for accurately interpreting each c...

评测与基准检索与知识可解释性OpenReview 项目页
作者位次 #5/9ACL 2026Findings· Findings of ACL

R e F ree KV : Towards Threshold-Free KV Cache Compression

Xuanfan Ni · Liyan Xu · Chenyang Lyu · Longyue Wang · Mo Yu · Lemao Liu · Fandong Meng · Jie Zhou · Piji Li

摘要

To reduce memory consumption during LLM inference, a handful of methods have been proposed for KV cache pruning.While these techniques can accomplish lossless memory reduction on many datasets, they often hinge on an under-emphasized condition: an input/domain-specific threshold for KV cache budg...

效率与系统数据与预训练检索与知识OpenReview 项目页

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