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Shuo Yang

11 papers hereh-index 7150 citations14 works total

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

author position
  • first author4
  • middle author5

Across the 9 of 11 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.CV3
  • cs.AI1
  • cs.CL1
  • cs.NE1
same name
  • Shuo Yang — 26 papers, h 11
  • Shuo Yang — 18 papers, h 14
  • Shuo Yang — 10 papers, h 4
  • Shuo Yang — 9 papers, h 2
  • Shuo Yang — 9 papers, h 5
  • Shuo Yang — 9 papers, h 3

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

works on
capability fusion 1domain adaptation 1inference-time routing 1large language models 1scientific question answering 1

From the 1 of 11 linked papers with an AI index.

activity
20242026
most citedAsFT: Anchoring Safety During LLM Fine-Tuning Within Narrow Safety Basin

1 citations · 1 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2025

CoT-lized Diffusion: Let's Reinforce T2I Generation Step-by-step

Zheyuan Liu, Munan Ning, Qihui Zhang +8

Current text-to-image (T2I) generation models struggle to align spatial composition with the input text, especially in complex scenes. Even layout-based approaches yield suboptimal…

cs.CV2025

Look-Back: Implicit Visual Re-focusing in MLLM Reasoning

Shuo Yang, Yuwei Niu, Yuyang Liu +3

Multimodal Large Language Models (MLLMs) have achieved remarkable progress in multimodal reasoning. However, they often excessively rely on textual information during the later sta…

cs.CV2025

UPME: An Unsupervised Peer Review Framework for Multimodal Large Language Model Evaluation

Qihui Zhang, Munan Ning, Zheyuan Liu +7

Multimodal Large Language Models (MLLMs) have emerged to tackle the challenges of Visual Question Answering (VQA), sparking a new research focus on conducting objective evaluations…

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