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Linli Xu

8 papers hereh-index 6201 citations17 works total

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

author position
  • middle author2
  • last author5

Across the 7 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CL5
  • cs.CV2
  • cs.LG1
same name
  • Linli Xu — 16 papers, h 28
  • Linli Xu — 13 papers, h 4
  • Linli Xu — 4 papers, h 3
  • Linli Xu — 1 paper, h 4
  • Linli Xu — 1 paper, h 3
  • Linli Xu — 1 paper, h 2

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 citedStabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective

1 citations · 1 across the 6 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

Improving Few-Step Language Flows with Untied Self-Conditioning

Bocheng Li, Linli Xu

Flow-matching language models refine all token positions in parallel and can trade sampling steps for latency, yet generation quality still degrades sharply with few sampling steps…

cs.CL2025

Unifying Continuous and Discrete Text Diffusion with Non-simultaneous Diffusion Processes

Bocheng Li, Zhujin Gao, Linli Xu

Diffusion models have emerged as a promising approach for text generation, with recent works falling into two main categories: discrete and continuous diffusion models. Discrete di…

cs.CL2024

Talk With Human-like Agents: Empathetic Dialogue Through Perceptible Acoustic Reception and Reaction

Haoqiu Yan, Yongxin Zhu, Kai Zheng +4

Large Language Model (LLM)-enhanced agents become increasingly prevalent in Human-AI communication, offering vast potential from entertainment to professional domains. However, cur…

cs.CL2024

Generative Pre-trained Speech Language Model with Efficient Hierarchical Transformer

Yongxin Zhu, Dan Su, Liqiang He +2

While recent advancements in speech language models have achieved significant progress, they face remarkable challenges in modeling the long acoustic sequences of neural audio code…

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