Opera: A Verbal Critic Framework for Long-horizon Coding Agents
Opera, a persistent verbal critic, lifts coding-agent resolve rates by up to 15 points on SWE-Bench-style benchmarks.
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Opera, a persistent verbal critic, lifts coding-agent resolve rates by up to 15 points on SWE-Bench-style benchmarks.
Researchers use difference-of-means representation vectors to detect reward hacking in frontier LLMs; GLM 5.2 hacks 73% of SWE-bench rollouts.
GitHub's Project HydraFusion research preview builds per-task multi-model workflows (Single, Cascade, Critique) in Copilot CLI, reporting +4.9 quality at 67% lower cost on TerminalBench 2.1.
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