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Yichen Li

13 papers hereh-index 594 citations14 works total

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

author position
  • first author1
  • middle author10
  • last author1

Across the 12 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CL5
  • cs.CV4
  • cs.AI1
  • cs.DL1
  • cs.IR1
  • cs.SE1
same name
  • Yichen Li — 14 papers, h 12
  • Yichen Li — 10 papers, h 5
  • Yichen Li — 9 papers, h 8
  • Yichen Li — 7 papers, h 10
  • Yichen Li — 7 papers, h 4
  • Yichen Li — 6 papers, h 8

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
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

REVEAL: A Rubric-Guided Agent for Explicit Evidence Sufficiency Verificationin Long-Video Question Answering

Caijun Yan, Yang Zhou, Meixing Shi +4

Recently, retrieval-augmented and memory-augmented methods have emerged as two promising paradigms for long-video question answering. However, existing methods typically rely on ri…

cs.CV2026

How Far Are Video Models from True Multimodal Reasoning?

Xiaotian Zhang, Jianhui Wei, Yuan Wang +9

Despite remarkable progress toward general-purpose video models, a critical question remains unanswered: how far are these models from achieving true multimodal reasoning? Existing…

cs.CV2026

UniVBench: Towards Unified Evaluation for Video Foundation Models

Jianhui Wei, Xiaotian Zhang, Yichen Li +6

Video foundation models aim to integrate video understanding, generation, editing, and instruction following within a single framework, making them a central direction for next-gen…

cs.CV2025

3D-RAD: A Comprehensive 3D Radiology Med-VQA Dataset with Multi-Temporal Analysis and Diverse Diagnostic Tasks

Xiaotang Gai, Jiaxiang Liu, Yichen Li +3

Medical Visual Question Answering (Med-VQA) holds significant potential for clinical decision support, yet existing efforts primarily focus on 2D imaging with limited task diversit…

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