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researcher

X. Xia

22 papers hereh-index 151.3k citations33 works total

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

author position
  • middle author22

Across the 22 of 22 papers where every author was matched, so the position is known.

fields
  • cs.CV18
  • cs.AI2
  • cs.IR1
  • cs.LG1
same name
  • X. Xia — 72 papers, h 80
  • X. Xia — 41 papers, h 29
  • X. Xia — 40 papers, h 24
  • X. Xia — 28 papers, h 15
  • X. Xia — 10 papers, h 7
  • X. Xia — 10 papers, h 6

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
20232026
most citedControl-A-Video: Controllable Text-to-Video Diffusion Models with Motion Prior and Reward Feedback Learning

29 citations · 42 across the 19 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.IR2026

Multi-LLM Token Filtering and Routing for Sequential Recommendation

Wuhan Chen, Min Gao, Xin Xia +3

Large language models (LLMs) have recently shown promise in recommendation by providing rich semantic knowledge. While most existing approaches rely on external textual corpora to…

cs.CV2026

Seedance 2.0: Advancing Video Generation for World Complexity

Team Seedance, De Chen, Liyang Chen +168

Seedance 2.0 is a new native multi-modal audio-video generation model, officially released in China in early February 2026. Compared with its predecessors, Seedance 1.0 and 1.5 Pro…

cs.AI2026

Does Your Reasoning Model Implicitly Know When to Stop Thinking?

Zixuan Huang, Xin Xia, Yuxi Ren +11

Recent advancements in large reasoning models (LRMs) have greatly improved their capabilities on complex reasoning tasks through Long Chains of Thought (CoTs). However, this approa…

cs.AI2026

Real-Time Aligned Reward Model beyond Semantics

Zixuan Huang, Xin Xia, Yuxi Ren +10

Reinforcement Learning from Human Feedback (RLHF) is a pivotal technique for aligning large language models (LLMs) with human preferences, yet it is susceptible to reward overoptim…

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