…Submitted by Yifei Li on Jun 4 Intern Large Models Authors: , , Yuhang Zang , , , , Abstract OVO-S-Bench presents a comprehensive benchmark for evaluating streaming spatial intelligence in multimodal language models through human…
…AI-generated summary LLM inference is still evaluated mainly as a model or software problem: accuracy, latency, throughput, and hardware utilization. This is incomplete. At deployment scale, the relevant output is a…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Robotic manipulation requires models that generate executable actions while anticipating and evaluating their future consequences before physical execution. We present τ_0-World Model…
…Bot for paper recommendations by tagging it in a comment: @ librarian-bot recommend No model linking this paper Cite arxiv.org/abs/2605.15188 in a model README.md to link it…
…Further ablation studies show that evaluation skills are critical for handling complex evaluation: removing them causes Eval@1 to drop significantly from 65% to 30%. No model linking this paper Cite arxiv…
…Evaluating five state-of-the-art models, we find that the best model reaches only 48.45% average accuracy, performance drops nearly 47 points from early to late turns, and long-horizon…
…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…