Elamur Research⌕
☰
home / authors / Guosheng Dong

Guosheng Dong

Guosheng Dong has 4 papers in our library, in 2024–2025, most of them on Language models & pretraining, Speech & spoken language, Vision & language; often with Tianpeng Li, Da Pan, Haoze Sun.

4 papers in our library · 2024–2025

OpenAlex · ORCID · h-index 3 · 16 works · 142 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 475 times in our library · ⭐ Paper Stars ranking: #7439

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢BaichuanBeijing · China2024–2026 · 7 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksComputer Vision and Pattern Recognition · 2 worksPsychology · 1 workSignal Processing · 1 workExperimental and Cognitive Psychology · 1 work

🧭 Topics 3Research subjects and languages the work is about.Speech & spoken language · 1 workLanguage models & pretraining · 2 worksVision & language · 1 work

 Works by year

2020s

20252 papers20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Baichuan-Omni-1.5 Technical Report (2025 · 28 citations)
    Open-source multimodal LLMs mostly pair vision with text. Voice support usually relies on separate ASR and TTS modules, which add latency. End-to-end omni models such as VITA-1.5 and Mini-Omni2 often lose quality when modalities compete, especially on text-only tasks. Baichuan-Omni-1.5 is a single 7B-scale model that…
  2. Baichuan-Omni Technical Report (2024 · 18 citations)
    GPT-4o showed what a single model handling several input types can do, but the open-source community had no comparable system.
  3. Baichuan-Audio: A Unified Framework for End-to-End Speech Interaction (2025 · 16 citations)
    Cascaded voice assistants chain ASR, an LLM and TTS. This adds latency, compounds errors and discards paralinguistic cues. End-to-end alternatives such as Moshi and GLM-4-Voice tend to lose reasoning ability once speech is added. Baichuan-Audio is a 7B end-to-end audio LLM for real-time bilingual (Chinese/English)…
  4. BaichuanSEED: Sharing the Potential of ExtensivE Data Collection and Deduplication by Introducing a Competitive Large Language Model Baseline (2024 · 2 citations)
    Pre-training corpora largely determine what a large language model can do. Yet many developers, including some that release open weights, keep their data collection and mixing recipes private. Some models are also tuned toward particular benchmarks, which hides their real abilities.

 Co-authors here

12 of 20 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 475 times (of the 149,439 papers whose bibliographies we read); 111 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/guosheng-dong/