ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2505.14438
  4. Cited By
S2SBench: A Benchmark for Quantifying Intelligence Degradation in Speech-to-Speech Large Language Models

S2SBench: A Benchmark for Quantifying Intelligence Degradation in Speech-to-Speech Large Language Models

20 May 2025
Yuanbo Fang
Haoze Sun
Jun Liu
Tao Zhang
Guosheng Dong
Weipeng Chen
Xiaofen Xing
Xiangmin Xu
    AuLLMELM
ArXiv (abs)PDFHTMLHuggingFace (1 upvotes)

Papers citing "S2SBench: A Benchmark for Quantifying Intelligence Degradation in Speech-to-Speech Large Language Models"

2 / 2 papers shown
Title
Understanding Textual Capability Degradation in Speech LLMs via Parameter Importance Analysis
Understanding Textual Capability Degradation in Speech LLMs via Parameter Importance Analysis
Chao Wang
Rui Zheng
Yang Ai
Zhen-Hua Ling
64
0
0
28 Sep 2025
Baichuan-Audio: A Unified Framework for End-to-End Speech Interaction
Baichuan-Audio: A Unified Framework for End-to-End Speech Interaction
Tianpeng Li
Qingbin Liu
Tao Zhang
Yuanbo Fang
Zheng Liang
...
Bin Cui
Jianhua Xu
Haoze Sun
Guosheng Dong
Xin Wu
AuLLM
226
46
0
24 Feb 2025
1