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Yunfang Wu

4 papers hereh-index 222 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.AI1
  • cs.LG1
same name
  • Yunfang Wu — 17 papers, h 18
  • Yunfang Wu — 9 papers, h 3
  • Yunfang Wu — 8 papers
  • Yunfang Wu — 7 papers
  • Yunfang Wu — 4 papers, h 7
  • Yunfang Wu — 1 paper, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.AI2026

Securing the Floor and Raising the Ceiling: A Merging-based Paradigm for Multi-modal Search Agents

Zhixiang Wang, Jingxuan Xu, Dajun Chen +3

Recent advances in Vision-Language Models (VLMs) have motivated the development of multi-modal search agents that can actively invoke external search tools and integrate retrieved…

cs.LG2026

Safety-Utility Conflicts Are Not Global: Surgical Alignment via Head-Level Diagnosis

Wang Cai, Yilin Wen, Jinchang Hou +5

Safety alignment in Large Language Models (LLMs) inherently presents a multi-objective optimization conflict, often accompanied by an unintended degradation of general capabilities…

cs.CL2026

SyncThink: A Training-Free Strategy to Align Inference Termination with Reasoning Saturation

Gengyang Li, Wang Cai, Yifeng Gao +1

Chain-of-Thought (CoT) prompting improves reasoning but often produces long and redundant traces that substantially increase inference cost. We present SyncThink, a training-free a…

cs.CL2025

ThinkLess: A Training-Free Inference-Efficient Method for Reducing Reasoning Redundancy

Gengyang Li, Yifeng Gao, Yuming Li +1

While Chain-of-Thought (CoT) prompting improves reasoning in large language models (LLMs), the excessive length of reasoning tokens increases latency and KV cache memory usage, and…

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