…and their trade-offs, and identifies open challenges and future opportunities for this rapidly evolving field. View arXiv page View PDF Project page GitHub 564 Add to collection Community World Action Models…
…collection Community Latent Memory is a novel method for efficient representation and QA generation. It shows that one token per multimodal evidence can lead to a good performance-efficiency trade-off. This…
…Current methods present a stark trade-off: geometry-colorization models achieve high geometric fidelity but are typically building-focused and lack semantic diversity. In contrast, proxy-based models use feed-forward image…
…However, existing captioning-RL methods and evaluation metrics often emphasize a narrow notion of caption quality, inducing trade-offs across core dimensions of captioning. For example, utility-oriented objectives can encourage noisy…
…Furthermore, LenVM enables continuous control over the trade off between performance and efficiency. On GSM8K at a budget of 200 tokens, LenVM maintains 63% accuracy compared to 6 percent for token budget…
…View arXiv page View PDF Project page GitHub 40 Add to collection Community Code is available: https://github.com/xiaobiaodu/Flux-GS Project page: https://xiaobiaodu.github.io/flux-gs-project/ You…
…Yet, existing quadcopter learning environments often face a trade-off between physical fidelity, multi-agent support, and the throughput required by modern deep RL pipelines. In this paper, we present MuJoCo-Drones…
…Second, local models exhibit a near-linear ASR-NSR trade-off (r = -0.81), indicating that their apparent safety reflects generation failure rather than genuine alignment. XL-SafetyBench enables more nuanced, cross…
…Standardized codecs such as JPEG and MPEG achieve efficient trade-offs between bitrate and perceptual quality but are designed for human perception, limiting their applicability to machine-perception tasks and non-traditional…
…View arXiv page View PDF Project page GitHub 1 Add to collection Community 🚀 Self-Evolving Visual Questioner (SeeQ) Can Vision-Language Models autonomously improve their question-generating capabilities without human help? Yes…