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IQuest Research *Equal contributors
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Black-box RL can boost agent performance by nearly 15 points on complex tasks, revealing a new frontier for scalable optimization.
Industrial code generation gets a reasoning boost: InCoder-32B-Thinking leverages error-driven feedback and a code world model to achieve top-tier performance on complex hardware-aware tasks.
Code LLMs can achieve SOTA performance in agentic tasks by explicitly modeling the dynamic evolution of software logic across different training stages.