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Bin Yu

Bin Yu has 3 papers in our library, in 2025–2026, most of them on Language models & pretraining, Reasoning; often with Cheng-Lin Liu, Dugang Liu, Han Hu.

3 papers in our library · 2025–2026

OpenAlex · h-index 1 · 3 works · 5 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 14 times in our library · ⭐ Paper Stars ranking: #9059

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

 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. Long-Short Chain-of-Thought Mixture Supervised Fine-Tuning Eliciting Efficient Reasoning in Large Language Models (2025 · 13 citations)
    Distilling chain-of-thought (CoT) traces from large reasoning models such as DeepSeek R1 into ordinary LLMs through SFT teaches them to reason.
  2. Formally Specifying the Intended Behavior of the Program: LLM-Driven Neuro-Symbolic Program Specification Synthesis (2026 · 5 citations)
    Deductive verification can prove that C code meets its requirements, but only after someone writes formal annotations such as contracts and loop invariants.
  3. MR-ALIGN: Meta-Reasoning Informed Factuality Alignment for Large Reasoning Models (2026 · 2 citations)
    Large reasoning models (LRMs) handle multi-step problems well, but extended thinking adds little on fact-based questions.

 Co-authors here

11 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 14 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

Updated

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