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Minpeng Liao

Minpeng Liao has 3 papers in our library, in 2023–2025, most of them on Language models & pretraining, Speech & spoken language; often with Chengxi Li, Guoxin Chen, Kai Fan.

3 papers in our library · 2023–2025

OpenAlex · h-index 4 · 30 works · 61 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 205 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6075

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

🏢Alibaba GroupHangzhou · China2023–2026 · 16 paperscurrent🏢Alibaba GroupGeorge Town · Cayman Islands2025–2026 · 2 paperscurrent🎓Beijing Institute of TechnologyBeijing · China2026 · 1 papercurrent🏢Alibaba DAMO AcademyHangzhou · China2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

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

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArtificial Intelligence · 3 worksBusiness, Management and Accounting · 1 workComputational Theory and Mathematics · 2 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 worksManagement Information Systems · 1 work

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

 Works by year

2020s

20251 paper20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. AlphaMath Almost Zero: Process Supervision without Process (2024 · 120 citations)
    Most recent work that improves LLM math reasoning fine-tunes models on step-by-step solutions written by human experts or GPT-4, which is costly to produce.
  2. BLSP: Bootstrapping Language-Speech Pre-training via Behavior Alignment of Continuation Writing (2023 · 32 citations)
    Text-trained large language models struggle to take speech as input. Cascaded systems that feed ASR output into an LLM keep the two components separate, and end-to-end speech LLMs depend on speech instruction data, which is rare. The authors first show that training an adapter only to reproduce transcripts makes the…
  3. ReForm: Reflective Autoformalization with Prospective Bounded Sequence Optimization (2025 · 8 citations)
    Autoformalization turns natural-language math problems into Lean statements that a machine can check. Current LLMs usually produce code that compiles, but the statements often change the problem's meaning. The authors argue this happens because models translate in one shot and never review their own output. ReForm…

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. AlphaMath Almost Zero: Process Supervision without ProcessConference on Neural Information Processing Systems (NeurIPS)Guoxin Chen, Minpeng Liao, Chengxi Li, et al.2024 · 120 citations
  2. MARIO: MAth Reasoning with code Interpreter Output - A Reproducible Pipeline ↗Findings of the Association for Computational Linguistics: ACL 2024 · no summary yetMinpeng Liao et al.2024 · 64 citations
  3. BLSP: Bootstrapping Language-Speech Pre-training via Behavior Alignment of Continuation WritingarXiv:2309.00916Chen Wang, Minpeng Liao, Zhongqiang Huang, et al.2023 · 32 citations
  4. ReForm: Reflective Autoformalization with Prospective Bounded Sequence OptimizationarXiv:2510.24592Guoxin Chen, Jing Wu, Xinjie Chen, et al.2025 · 8 citations

 Co-authors here

12 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 205 times (of the 149,439 papers whose bibliographies we read); 59 citing papers with a page here →.

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