…and web search , applies deterministic field matching , and routes ambiguous cases to class-specialist judgers . We release a benchmark of 2,450 synthetic citations built from real seeds with controlled LLM mutations…
…Policy Optimization (T²PO) addresses multi-turn RL instability by controlling exploration at fine-grained levels through uncertainty monitoring and dynamic resampling. AI-generated summary Recent progress in multi-turn reinforcement learning (RL…
…unified framework that decomposes rollout processes into generation, filtering, control, and replay stages, enabling systematic evaluation and improvement across reasoning tasks. AI-generated summary Reinforcement learning (RL) has become a central post…
…AI-generated summary Analog circuit design relies heavily on reusing existing intellectual property (IP) , yet searching across heterogeneous representations such as SPICE netlists , schematics , and functional descriptions remains challenging. Existing methods are…
…faster early convergence, controlled response length, and sustained multi-turn tool use. View arXiv page View PDF GitHub 4 Add to collection Community please contact minstar@upstage.ai any information for the…
…strong general AI-scientist baselines ( ARIS , DeepScientist ) execute partial CFD workflows but lack the domain-specific validity gates needed to convert runs into defensible scientific claims; and a controlled planted-failure ablation…
…An Open Benchmark for Instructional Computer Vision Problem Solving with Human-AI Collaborative Preferences (2026) VisualNeedle: Benchmarking Active Visual Search in Information-Dense Scenes (2026) Please give a thumbs up to this…
…We propose When2Tool, a benchmark of 18 environments (15 single-hop, 3 multi-hop) spanning three categories of tool necessity -- computational scale, knowledge boundaries, and execution reliability -- each with controlled difficulty levels…
…For direct interaction, acting on uncertainty means communicating it honestly; for agentic systems, it becomes the control layer governing when to search and what to trust. Metacognition is thus essential for LLMs…
…These results show that omni-modal progress is easier to interpret when evaluation controls visual leakage, and that small omni-modal models can benefit from staged post-training with self-distilled omni…