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Bin Cui

Bin Cui has 3 papers in our library, in 2024–2026, most of them on Language models & pretraining, Evaluation & benchmarks, Code & programming languages; often with Hao Liang, Wentao Zhang, Bihui Yu.

3 papers in our library · 2024–2026

OpenAlex · ORCID · Wikidata · h-index 59 · 588 works · 14,737 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 250 times in our library · 6 more in our library without a page yet · ⭐ Paper Stars ranking: #4755

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. 31 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. Retrieval-Augmented Generation for AI-Generated Content: A Survey (2024 · 301 citations)
    Generative models for text, code, images, video and other media still have trouble with outdated knowledge, rare (long-tail) facts, leakage of private training data, and costly training and inference.
  2. 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.
  3. Rethinking Text-to-SQL: Dynamic Multi-turn SQL Interaction for Real-world Database Exploration (2026)
    Most Text-to-SQL benchmarks test one-shot translation of a fixed question into a read-only query. Real database work is different: users refine goals over several turns and often need to change data, not just read it. The authors introduce DySQL-Bench to evaluate LLM agents in this setting. It contains 1,072…

All works

9 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. PointCLIP: Point Cloud Understanding by CLIP ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetRenrui Zhang et al.2022 · 460 citations
  2. Retrieval-Augmented Generation for AI-Generated Content: A SurveyarXiv:2402.19473Penghao Zhao, Hailin Zhang, Qinhan Yu, et al.2024 · 301 citations
  3. SpotServe: Serving Generative Large Language Models on Preemptible Instances ↗arXiv:2311.15566 · no summary yetXupeng Miao et al.2023 · 145 citations
  4. Distributed Graph Neural Network Training: A Survey ↗arXiv:2211.00216 · no summary yetYingxia Shao et al.2022 · 103 citations
  5. Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs ↗arXiv (Cornell University) · no summary yetLing Yang et al.2024 · 22 citations
  6. VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs ↗arXiv (Cornell University) · no summary yetLing Qiang Yang et al.2023 · 2 citations
  7. Contextualized Diffusion Models for Text-Guided Image and Video Generation ↗arXiv (Cornell University) · no summary yetLing Yang et al.2024 · 1 citation

 Co-authors here

12 of 16 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 250 times (of the 149,439 papers whose bibliographies we read); 36 citing papers with a page here →.

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