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Polytechnique Montreal
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Rust developers can slash the noise in static analysis alerts by over 50% using an RL agent that learns to suppress false positives, outperforming even LLM-based methods.
CoT's code generation prowess isn't a sure thing: its robustness crumbles when input tweaks destabilize key "structural anchors" in the reasoning process.
Forget monolithic LLMs for requirements engineering: QUARE's multi-agent negotiation framework achieves 105% better compliance by explicitly surfacing and resolving inter-quality conflicts.
LLM-powered program repair tools can memorize bug fixes, but struggle with minor syntactic changes and applying fixes in real-world projects, revealing a critical gap in their reasoning abilities.
