… The following papers were recommended by the Semantic Scholar API OSExpert: Computer-Use Agents Learning Professional Skills via Exploration 2026 AgentCollab: A Self-Evaluation-Driven Collaboration Paradigm for Efficient LLM Agents 2026 Ares: Adaptive Reasoning Effort Selection for Efficient LLM Ag… …
… AI-generated summary Looped computation shows promise in improving the reasoning-oriented performance of LLMs by scaling test-time compute. …
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… For example, utility-oriented objectives can encourage noisy, hallucinated, or overlong captions that improve downstream question answering while harming fluency, whereas arena-style objectives can favor fluent but generic descriptions with limited usefulness. …