Elamur Research⌕
☰
home / authors / Chengkun Cai

Chengkun Cai

Chengkun Cai has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining, Reasoning, Bias, fairness & safety; often with Boyuan Chen, Chi-Min Chan, Han Zhu.

2 papers in our library · 2025–2026

OpenAlex · h-index 0 · 8 works · 0 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 16 times in our library · ⭐ Paper Stars ranking: #9075

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.

 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. The Role of Deductive and Inductive Reasoning in Large Language Models (2025 · 17 citations)
    Prompting methods such as Tree of Thought improve LLM reasoning by exploring many output paths, but this is expensive, and fixed prompt templates adapt poorly to harder instances.
  2. SafeMT: Multi-turn Safety for Multimodal Language Models (2026 · 3 citations)
    SafeMT targets a gap in the safety evaluation of multimodal large language models (MLLMs). Existing benchmarks mostly test single image-plus-prompt inputs, but real users talk to these models over many turns, and harmful intent can be spread across a conversation. The authors combined red-team queries from earlier…

 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 16 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/chengkun-cai/