…We present RewardHarness, a self-evolving agentic reward framework that reframes reward modeling as context evolution rather than weight optimization. Instead of learning from large-scale annotations, RewardHarness aligns with human preferences…
…Yu-Hsi Chen , Abstract CPCANet is a domain generalization framework that uses Common Principal Component Analysis to discover structured domain-invariant subspaces through differentiable neural layers, achieving state-of-the-art performance…
…overhead (1.2% in the optimized release). Empirical results show that ESamp significantly boosts the Pass@k efficiency of reasoning models, showing superior or comparable performance to strong stochastic and heuristic baselines…
…Thinking with 4D Imagery for Dynamic Spatial Understanding Published on May 7 Submitted by jankin on May 11 Tsinghua University Authors: , , , Xiang An , , , , , , , , Abstract 4DThinker enables vision-language models to perform dynamic…
…On several benchmarks, FEST outperforms baselines with magnitudes less SFT data, even matching their performance with full dataset. View arXiv page View PDF GitHub 0 Add to collection Community This is a…
…Yanzuo Lu , , Abstract RAVEN enables real-time video generation through causal autoregressive extrapolation with improved training alignment, while CM-GRPO enhances performance via reinforcement learning applied to consistency model sampling. AI-generated…
…Yanggan Gu , Shuo Cai , , Wenjun Wang , Yuanyi Wang , , , , , Abstract Feature drift analysis in model merging leads to FeatCal, a calibration method that reduces performance gaps through layer-wise weight updates without gradient…
…Task-Level Targeted Poisoning Benchmark for Instruction-Tuned LLMs (2026) Trusted Weights, Treacherous Optimizations? Optimization-Triggered Backdoor Attacks on LLMs (2026) Cordyceps: Covert Control Attacks on LLMs via Data Poisoning (2026) Spectral…
…However, they suffer from inherent optimization bottlenecks due to the coupling of reasoning and scoring within a single autoregressive inference chain. To harness the generalization benefits of CoT reasoning while mitigating the…
…Evaluation of six state-of-the-art methods shows that strong global volumetric overlap does not necessarily translate into reliable performance at clinically critical tumor-vessel interfaces. In particular, methods optimized for…