… We compare text-only revision strategies with a multimodal one that incorporates meme-based context and evaluate two main effectiveness metrics, i.e., average directional stance shift and stance transition rate . …
… Our design includes cross-domain transfer matrices, multi-dimensional probe analysis with permutation null baselines , entropy-residualization tests, and distractor evaluations across 8 stylistic shifts . …
Papers arxiv:2605.09296 Micro-Defects Expose Macro-Fakes: Detecting AI-Generated Images via Local Distributional Shifts Published on May 10 Submitted by Boxuan Zhang on May 13 Rutgers University Authors: Boxuan Zhang , , , , Abstract A local distribution-aware detection framework that amplifies mic… …
… This behavioral shift persists even when restricting the analysis to responses lacking explicit verbalization of evaluation awareness. …
… STRIDE learns lightweight " steering operators " that mimic the behavioral shift caused by training on data subsets. …
… WriteSAE factors each decoder atom into the native write shape, exposes a closed form for the per-token logit shift, and trains under matched Frobenius norm so atoms swap one cache slot at a time. …
… To address this, we propose Divergence Regularized Policy Optimization DRPO , which replaces the hard mask with a smooth advantage-weighted quadratic regularizer on policy shift . …
… Marking a paradigm shift toward Reinforcement Learning from Human Feedback RLHF in audio reasoning. …
… The main contribution is a deployment-oriented design: SwiftVR uses mask-free shifted-window self-attention to keep attention on the standard dense SDPA path, avoiding attention masks, cyclic shifts, padding, custom sparse kernels, or hardware-specific retraining. …
… Generated by Qwen/Qwen2.5-Coder-32B-Instruct Frontier model evaluations are shifting from foundational capabilities e.g., instruction following and reasoning toward compositional, agentic ones, but Korean agentic benchmarks remain scarce. …