…Published on May 30 Submitted by LeyiWu on Jun 2 RoboStressBench Team Authors: Leyi Wu , , , , , , , , , , , , , Abstract RoboStressBench presents a principled benchmark for evaluating vision-language model robustness to physical visual stress in…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Low-Rank Adaptation (LoRA) successfully enables personalization in text-to-image generation by adapting pre-trained diffusion models to specific visual concepts and styles…
…The framework makes coordination decisions observable and learnable from repeated trajectories, rather than treating skill, role, model, topology , and evaluation choices as fixed pipeline design. AgensFlow is evaluated on two corpora: distributed…
…frequency of a held-out reactor crystal governed by the same mechanism. The hidden data-generating process is a randomly sampled structural causal model (SCM), so success requires recovering both a causal…
…Multi-entity & Evolving Memory Evaluation Published on May 12 Submitted by Arnas Uselis on May 13 KAIST AI Authors: , , Arnas Uselis , , Abstract MEME benchmark evaluates memory systems across multiple entities and evolving…
…Navigation Published on May 11 Submitted by Aman Chadha on May 13 Authors: , , , , Aman Chadha , , , Abstract SleepWalk is a benchmark for evaluating vision-language models' ability to predict spatially coherent, executable trajectories…
…were recommended by the Semantic Scholar API MarketBench: Evaluating AI Agents as Market Participants (2026) IEMAS: An Incentive-Efficiency Routing Framework for Open Agentic Web Ecosystems (2026) Can AI Models Direct Each…
…Extensive evaluations of prominent models on 1,920 high-quality samples reveal significant performance disparities. Furthermore, our analysis uncovers a critical " format-content tradeoff ", demonstrating that increasing formatting complexity directly degrades models…
…Empirically, the flagship Darwin-27B-Opus achieves 86.9% on GPQA Diamond, ranking #6 among 1,252 evaluated models, and outperforming its fully trained foundation model without any gradient-based training. Across…
…given an image, a model must recover the full rooted containment tree induced by the curves. Despite the visual simplicity of the task, the strongest evaluated model, Gemini 3.1 Pro, achieves…