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…We propose ROMA, an RL fine-tuning framework that modifies the optimization dynamics to reinforce reasoning against visual degradation while preserving clean-input performance. A dual-forward-pass strategy uses teacher forcing…
…Thanawat Lodkaew , , , , , Takashi Ishida Abstract CapCode framework uses randomized testing with performance caps to detect and prevent shortcut exploitation in agent evaluation, while CapReward rewards systems that adhere to intended task specifications…
…Boxuan Zhang , , , , Abstract A local distribution-aware detection framework that amplifies micro-scale statistical irregularities to identify AI-generated images with improved accuracy. AI-generated summary Recent generative models can produce images…
…To systematically assess generated evaluations, we introduce a meta-evaluation framework alongside AgentEvalBench , a benchmark comprising 20 agents, each paired with evaluation requirements and test scenarios. We further propose the Eval@1…
…View arXiv page View PDF Project page Add to collection Community We introduce Tiny but Trusted, a parameter-efficient vision-language framework for time-series anomaly detection with grounded reasoning, enabling compact…
…Test-Time Co-Evolution of Topology and Capability in LLM-based Multi-Agent Systems Published on May 10 Submitted by Xinyu Lin on May 13 Authors: , , , , , , Abstract Test-time co-evolution framework…
…In this work, we study counterfactual context revision as a framework for auditing LLM-based stance simulation . Given an original online conversation, we first infer a target user's stance toward a…
…Abstract Deep reinforcement learning framework L2C2 addresses prior mismatch in tabular foundation models by sequentially applying data cleaning operators to align real-world data with synthetic training distributions, improving both accuracy and…
…At the data level, RoTS is a scalable synthesis framework that creates 800k high-quality data via a tree-based pipeline that proactively discovers diverse error modes and synthesizes corresponding recovery steps…
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