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Mingan Lin

Mingan Lin has 5 papers in our library, in 2024–2025, most of them on Language models & pretraining, Speech & spoken language, Evaluation & benchmarks; often with Haoze Sun, Tao Zhang, Tianpeng Li.

5 papers in our library · 2024–2025

OpenAlex · ORCID · h-index 2 · 10 works · 19 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 96 times in our library · ⭐ Paper Stars ranking: #7299

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

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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. CFBench: A Comprehensive Constraints-Following Benchmark for LLMs (2025 · 30 citations)
    CFBench tackles a gap in how LLMs are tested on following instructions that carry many explicit constraints.
  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. Baichuan Alignment Technical Report (2024 · 5 citations)
    Alignment methods for large language models are usually kept proprietary or described only in fragments. This technical report from Baichuan Inc. and Peking University sets out the full alignment pipeline behind the Baichuan models. The pipeline has three stages. A Prompt Augmentation System (PAS) automatically…
  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 26 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 96 times (of the 149,439 papers whose bibliographies we read); 29 citing papers with a page here →.

Updated

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