AI Agents · TokenRhythm Technologies
Claw-SWE-Bench: Why Coding Agent Harnesses Matter
Claw-SWE-Bench evaluates OpenClaw-style coding-agent harnesses on 350 GitHub issue tasks. OpenClaw jumps from 19.1% to 73.4% Pass@1 with a full adapter.
Institution
City University of Hong Kong
Public research university in Hong Kong; its computer science group co-authored this work on video reasoning.
Video Generation · Kuaishou Technology
VLM Teachers Score Video-Model Reasoning at Test Time
Instead of asking a video model to reason directly, a VLM grades its in-progress frames and fine-tunes a per-instance LoRA. The trick lifts RULER-Bench from 46.4 to 68.2.