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Binbin Hu

Binbin Hu has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining, Reasoning, Information retrieval & search; often with Dan Yang, Duolin Sun, Jiahai Wang.

2 papers in our library · 2025–2026

OpenAlex · ORCID · Wikidata · h-index 20 · 78 works · 3,467 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 26 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #9140

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. 5 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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering (2025 · 19 citations)
    Reasoning models such as o1 and DeepSeek-R1 depend on long chains of thought (long CoTs) with planning, checking and backtracking. Earlier work showed this behaviour can be triggered with little data and carries over to new tasks. This paper asks whether long CoT is a general capability already present inside LLMs.
  2. GroupRank: A Groupwise Paradigm for Effective and Efficient Passage Reranking with LLMs (2026)
    LLM rerankers face a trade-off between accuracy and speed. Pointwise scoring is fast but never compares documents with each other. Listwise ranking does compare them, but it exceeds context limits and relies on slow sequential sliding windows. GroupRank takes a middle path: it splits the candidate pool into small…

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Heterogeneous Graph Structure Learning for Graph Neural Networks ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetJianan Zhao et al.2021 · 289 citations

 Co-authors here

12 of 15 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 26 times (of the 149,439 papers whose bibliographies we read); 7 citing papers with a page here →.

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