Chengjun Xiao

Chengjun Xiao has 2 papers in our library, in 2025–2026, most of them on Reasoning; often with Aili Chen, Aonian Li, Bangwei Gong.

2 papers in our library · 2025–2026

The profile is the library's match of the name; two people with one name are not always told apart.

Fields, topics and concepts

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

The most cited first (OpenAlex and our library).

MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention (2025 · 66 citations)
Reasoning models get better when they generate longer chains of thought. Standard softmax attention, however, has quadratic cost in sequence length, which makes long outputs expensive. MiniMax-M1 tackles this with an open-weight reasoning model built on a hybrid design. It starts from MiniMax-Text-01, a…
OctoBench: Benchmarking Scaffold-Aware Instruction Following in Repository-Grounded Agentic Coding (2026 · 4 citations)
Coding scaffolds such as Claude Code, Kilo and Droid turn LLMs into repository-level agents. Existing evaluations are either single-turn instruction-following tests or outcome-based agent benchmarks that check whether tests pass. Neither shows whether an agent respects rules that come from many sources and must be…

11 co-authors with a page, the most papers together first.

Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 70 times (of the 149,439 papers whose bibliographies we read); 24 citing papers with a page here →.

Updated 31 October 2026