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Longyue Wang

15 papers hereh-index 9444 citations19 works total

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

author position
  • middle author15

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CL7
  • cs.CV4
  • cs.AI2
  • cs.MA1
  • cs.MM1
same name
  • Longyue Wang — 47 papers, h 6
  • Longyue Wang — 35 papers, h 26
  • Longyue Wang — 17 papers, h 17
  • Longyue Wang — 10 papers, h 8
  • Longyue Wang — 3 papers, h 3
  • Longyue Wang — 3 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
20242026
most citedUni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts

3 citations · 8 across the 14 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.AI2026

Search2Skill: Skill Distillation Beyond Knowledge Boundaries Via Rubric-Based Reinforcement Learning

Muyang Ye, Tian Lan, Feihu Jiang +10

Reusable skills, which encapsulate the procedural knowledge required to solve real-world professional tasks, offer LLM-based agents a path toward self-evolution in expert domains.…

cs.CL2026

CulturALL: Benchmarking Multilingual and Multicultural Competence of LLMs on Grounded Tasks

Peiqin Lin, Chenyang Lyu, Wenjiang Luo +22

Large language models (LLMs) are now deployed worldwide, inspiring a surge of benchmarks that measure their multilingual and multicultural abilities. However, these benchmarks prio…

cs.MM2026

MSVBench: Towards Human-Level Evaluation of Multi-Shot Video Generation

Haoyuan Shi, Yunxin Li, Nanhao Deng +5

The evolution of video generation toward complex, multi-shot narratives has exposed a critical deficit in current evaluation methods. Existing benchmarks remain anchored to single-…

cs.CL2026

Structured Episodic Event Memory

Zhengxuan Lu, Dongfang Li, Yukun Shi +3

Current approaches to memory in Large Language Models (LLMs) predominantly rely on static Retrieval-Augmented Generation (RAG), which often results in scattered retrieval and fails…

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