Pai 的 AI 雷达

模型与评测

今天:Dream-RSI,Breaking the 1.58-bit。并行还有 Mistral X Mozilla、ANASSA、AcquireBound。

日期
2026/09/17
今日条目
101
当前类目
31
#25

Vibe Patenting: Evaluating LLM Judges for Professional Patent-Drafting Agents

arXiv:2609.13422v1 Announce Type: new Abstract: LLM judges are increasingly used to evaluate and improve AI-generated outputs, yet their reliability for complex professional work remains unclear. We study this problem through Vibe Patenting, an end-to-end patent-drafting testbed

推荐理由Vibe Patenting: Evaluating LLM Judges:arXiv:2609.13422v1 Announce Type: new Abstract: LLM judges are increasingly used。
模型与评测arXiv cs.AI 官方
#26

VideoScout: Learning Agentic Active Exploration with Adaptive Reasoning Pacing for Long Video Understanding

arXiv:2609.15606v1 Announce Type: cross Abstract: Multimodal Large Language Models (MLLMs) have achieved remarkable progress on short video understanding yet remain limited on long videos due to the limited visual context window. Prevailing approaches rely on uniform frame sampli

推荐理由VideoScout: Learning Agentic Active:arXiv:2609.15606v1 Announce Type: cross Abstract: Multimodal Large Language Models。
模型与评测arXiv cs.AI 官方
#27

When Malicious Instructions Persist: Persistent Memory Poisoning Attack on Harness-Based Agents

arXiv:2609.13889v1 Announce Type: cross Abstract: Harness design has transformed the development of LLM-based agents by integrating memory, tool use, and runtime control. However, this design also introduces security and privacy risks because malicious instructions from external

推荐理由When Malicious Instructions Persist:arXiv:2609.13889v1 Announce Type: cross Abstract: Harness design has transformed。
模型与评测arXiv cs.AI 官方