Papers

Trending research and the full catalog - each paper linked to the benchmarks, methods, and models it introduces.

Filtered by domain: multi-agent-systemsClear

AutoSFT: An Agentic System for Automated Data Research in Supervised Fine-Tuning

15 Oct 2026

Language model agents increasingly automate post-training, but when given the full training stack they converge on supervised fine-tuning and spend most effort revising training data.

Instruction Following Multi-Agent Systems

180.0/h

Filtering here covers the 2,000 most recent papers, as much as one page can hold in memory. See the full index of 22,663 papers.