Elamur Research⌕
☰
home / authors / Da Pan

Da Pan

Da Pan has 5 papers in our library, in 2023–2025, most of them on Language models & pretraining, Speech & spoken language; often with Guosheng Dong, Tianpeng Li, Bingning Wang.

5 papers in our library · 2023–2025

OpenAlex · ORCID · h-index 7 · 18 works · 210 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 454 times in our library · ⭐ Paper Stars ranking: #3508

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

🎓Nagoya UniversityNagoya · Japan2023–2025 · 4 paperscurrent🎓Nankai UniversityTianjin · China2025 · 2 paperscurrent🎓Southwest Petroleum UniversityChengdu · China2025 · 1 papercurrent🎓Harvard UniversityCambridge · United States1974–1975 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 10The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 5 worksComputer Science · 5 worksArtificial Intelligence · 5 worksLanguage and Linguistics · 5 worksComputer Vision and Pattern Recognition · 3 worksPsychology · 1 workMedicine · 1 workSignal Processing · 1 workExperimental and Cognitive Psychology · 1 workHealth Informatics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksSpeech & spoken language · 1 work

 Works by year

2020s

20253 papers20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Baichuan 2: Open Large-scale Language Models (2023 · 517 citations)
    Most strong LLMs are either closed or weak outside English. This leaves languages such as Chinese underserved by open models. Baichuan 2 addresses this with two multilingual foundation models, Baichuan 2-7B and Baichuan 2-13B, trained from scratch on 2.6 trillion tokens. The data comes from web pages, books, papers…
  2. 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…
  3. Baichuan-M1: Pushing the Medical Capability of Large Language Models (2025 · 24 citations)
    General-purpose LLMs often lack depth in medicine, where knowledge is specialized and good training data is scarce.
  4. 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)…
  5. 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 25 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 454 times (of the 149,439 papers whose bibliographies we read); 102 citing papers with a page here →.

Updated

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