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Linfeng Li

4 papers here

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

author position
  • middle author4

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

fields
  • cs.CV3
  • cs.CL1
same name
  • Linfeng Li — 6 papers, h 3
  • Linfeng Li — 4 papers
  • Linfeng Li — 3 papers, h 4
  • Linfeng Li — 3 papers, h 3
  • Linfeng Li — 2 papers
  • Linfeng Li — 1 paper, h 7

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

most citedAdvancing Fine-Grained Visual Understanding with Multi-Scale Alignment in Multi-Modal Models

1 citations · 1 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2025

MERIT: Multilingual Semantic Retrieval with Interleaved Multi-Condition Query

Wei Chow, Yuan Gao, Linfeng Li +15

Semantic retrieval is crucial for modern applications yet remains underexplored in current research. Existing datasets are limited to single languages, single images, or singular r…

cs.CL2025

Mixed-R1: Unified Reward Perspective For Reasoning Capability in Multimodal Large Language Models

Shilin Xu, Yanwei Li, Rui Yang +9

Recent works on large language models (LLMs) have successfully demonstrated the emergence of reasoning capabilities via reinforcement learning (RL). Although recent efforts leverag…

cs.CV2025

An Empirical Study of GPT-4o Image Generation Capabilities

Sixiang Chen, Jinbin Bai, Zhuoran Zhao +16

The landscape of image generation has rapidly evolved, from early GAN-based approaches to diffusion models and, most recently, to unified generative architectures that seek to brid…

cs.CV2024★ 1 cited

Advancing Fine-Grained Visual Understanding with Multi-Scale Alignment in Multi-Modal Models

Wei Wang, Zhaowei Li, Qi Xu +7

Multi-modal large language models (MLLMs) have achieved remarkable success in fine-grained visual understanding across a range of tasks. However, they often encounter significant c…

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