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researcher

Haofen Wang

12 papers hereh-index 84.1k citations19 works total

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

author position
  • middle author4
  • last author7

Across the 11 of 12 papers where every author was matched, so the position is known.

fields
  • cs.AI3
  • cs.CL3
  • cs.IR3
  • cs.LG2
  • cs.CV1
same name
  • Haofen Wang — 11 papers, h 10
  • Haofen Wang — 9 papers, h 5
  • Haofen Wang — 7 papers, h 3
  • Haofen Wang — 6 papers, h 13
  • Haofen Wang — 6 papers, h 6
  • Haofen Wang — 3 papers, 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

activity
20222026
most citedRetrieval-Augmented Generation for Large Language Models: A Survey

747 citations · 821 across the 11 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.AI2025

CitySeeker: How Do VLMS Explore Embodied Urban Navigation With Implicit Human Needs?

Siqi Wang, Chao Liang, Yunfan Gao +5

Vision-Language Models (VLMs) have made significant progress in explicit instruction-based navigation; however, their ability to interpret implicit human needs (e.g., "I am thirsty…

cs.IR2025★ 4 cited

Synergizing RAG and Reasoning: A Systematic Review

Yunfan Gao, Yun Xiong, Yijie Zhong +3

Recent breakthroughs in large language models (LLMs), particularly in reasoning capabilities, have propelled Retrieval-Augmented Generation (RAG) to unprecedented levels. By synerg…

cs.IR2025

StePO-Rec: Towards Personalized Outfit Styling Assistant via Knowledge-Guided Multi-Step Reasoning

Yuxi Bi, Yunfan Gao, Haofen Wang

Advancements in Generative AI offers new opportunities for FashionAI, surpassing traditional recommendation systems that often lack transparency and struggle to integrate expert kn…

cs.CL2025

U-NIAH: Unified RAG and LLM Evaluation for Long Context Needle-In-A-Haystack

Yunfan Gao, Yun Xiong, Wenlong Wu +3

Recent advancements in Large Language Models (LLMs) have expanded their context windows to unprecedented lengths, sparking debates about the necessity of Retrieval-Augmented Genera…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.