Pai 的 AI 雷达

模型与评测

今天:Replit expands access,Strengthening democr。并行还有 Agentic ESOpt、Agent Lightning v1.0、LEGO-RL。

日期
2026/08/19
今日条目
34
当前类目
26
#08

Security Assessment of DeepSeek Harness with A.I.G: Evaluating Resistance to Indirect Prompt Injection

We assess indirect prompt injection in DeepSeek Harness (DSH), using AI-Infra-Guard (A.I.G) to construct tests, deliver controlled taint, execute DSH, collect traces, and judge outcomes. The study covers 14,560 controlle

推荐理由Security Assessment of DeepSeek Harness:We assess indirect prompt injection in DeepSeek Harness (DSH), using AI-Infra-Guard (A。
模型与评测HF daily papers
#12

Embodied-Navigator: Point, Think, Memorize, and Align for Efficient Navigation

Although Large Vision-Language Models (VLMs) have significantly advanced embodied navigation, their direct deployment remains challenging, as existing methods often force VLMs into unnatural action spaces that misalign w

推荐理由Embodied-Navigator: Point, Think,:Although Large Vision-Language Models (VLMs) have significantly advanced embodied。
模型与评测机器人具身HF daily papers
#16

DiSCO: Defending text-to-image generation through distribution-guided contrastive prompt optimization

As text-to-image generative models advance, they raise critical safety concerns, particularly the generation of Not-Safe-For-Work (NSFW) content such as violence and nudity, further exacerbated by red-teaming adversarial

推荐理由DiSCO: Defending text-to-image:As text-to-image generative models advance, they raise critical safety concerns。
模型与评测HF daily papers
#18

MoE-ViE: Mixture of Experts Vision Encoder for Efficient Image and Video Understanding

Vision encoders are a critical component of vision-language models, and scaling their capacity effectively improves performance. However, dense scaling increases compute cost and inference latency. Mixture-of-Experts (Mo

推荐理由MoE-ViE: Mixture of Experts Vision:Vision encoders are a critical component of vision-language models, and scaling their。
模型与评测HF daily papers
#19

CoinVE-200K: A Large-Scale High-Quality Dataset for Compositional Instruction-Guided Video Editing

The quality and diversity of instruction-based video editing datasets are steadily improving, yet existing datasets mainly focus on single editing operations and fall short in supporting compositional instruction-guided

推荐理由CoinVE-200K: A Large-Scale High-Quality:The quality and diversity of instruction-based video editing datasets are steadily。
模型与评测HF daily papers
#21

From Corpora to Co-Evolving Capabilities: Capability-Centric Data Design for Generalist Image Generation

Large-scale image generation has benefited from advances in data scale, quality, rebalancing, and recaptioning, yet conventional pipelines typically optimize task-specific datasets in isolation. A central challenge is no

推荐理由From Corpora to Co-Evolving:Large-scale image generation has benefited from advances in data scale, quality。
模型与评测HF daily papers