AI Research

AI & ML Research Papers

A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.

All Papers

2 papers

PreprintarXiv.org2026

Benchmarking Agents on Hard CLI Tasks

Mike A. Merrill, Alexander G Shaw, Nicholas Carlini, et al.

Terminal-Bench 2.0 is a hard benchmark of 89 real-world-inspired CLI tasks where frontier agents score below 65%, with error analysis and public dataset/harness.

342Jan 17, 2026Benchmarks

arXiv

Preprint2026

StateM: Reaching 95.3% Raw Accuracy, or a \$15 Frontier Run, on Terminal-Bench 2.1 via Harness Scaling

Ziheng Qin, Yaxin Lu, Zhangyang Atlas Wang, et al.

StateM is an agent-native runtime that improves long-horizon agent performance via harness scaling, reaching 95.3% raw accuracy on Terminal-Bench 2.1 without changing model weights.

0Aug 15, 2026Scaling Laws

arXiv