洞察 AI 演进与全球贸易脉动，以全息视野重塑跨域情报流。
Decoding AI evolution and global trade rhythms. High-fidelity intelligence, redefined.
Fast Multi-dimensional Refusal Subspaces via RFM-AGOP
大型语言模型 (LLMs) 中的引导和监控激活越来越多地用于安全性和可解释性。早期的工作假设是...
Steering and monitoring activations in Large Language Models (LLMs) are increasingly used for both safety and interpretability. Early work assumed beh...
Text-Driven 3D Indoor Scene Synthesis in Non-Manhattan Environments
大型语言模型 (LLMs) 在曼哈顿环境的 3D 室内合成中表现出了卓越的能力。然而,现有方法...
Large Language Models (LLMs) have demonstrated remarkable capabilities in 3D indoor synthesis for Manhattan environments. However, existing methods of...
Automated grading of Linux/bash examinations using large language models: a four-level cognitive taxonomy approach
命令行考试的可扩展且可靠的评分仍然是计算教育, 中的一个挑战，其中入学人数的增加使得手动评分变得困难...
Scalable and reliable grading of command-line examinations remains a challenge in computing education, where rising enrolments make manual marking dif...
EvoPolicyGym: Evaluating Autonomous Policy Evolution in Interactive Environments
人们越来越期望自主代理通过反馈来改进可执行政策,，但现有的评估经常将这一过程分解为……
Autonomous agents are increasingly expected to improve executable policies through feedback, yet existing evaluations often collapse this process into...
G-RRM: Guiding Symbolic Solvers with Recurrent Reasoning Models
在这项工作, 中，我们重点关注 SE-RRM,，这是 RRM 的符号等变实例，它对更大的问题规模表现出改进的外推能力。我们建议...
In this work, we focus on SE-RRMs, a symbol-equivariant instantiation of RRMs that exhibits improved extrapolation to larger problem sizes. We propose...
What LLM Agents Say When No One Is Watching: Social Structure and Latent Objective Emergence in Multi-Agent Debates
LLM 代理人将越来越多地在社会结构环境中行动，其中角色, 受众, 和关系背景可以决定什么是有利的或昂贵的......
LLM agents will increasingly act in socially structured settings where role, audience, and relational context can shape what is advantageous or costly...
ReContext: Recursive Evidence Replay as LLM Harness for Long-Context Reasoning
对长上下文的理解和推理已成为在实际应用程序中部署大型语言模型 (LLMs) 的关键要求。阿尔斯...
Understanding and reasoning over long contexts has become a key requirement for deploying large language models (LLMs) in realistic applications. Alth...
Online Safety Monitoring for LLMs
尽管进行了对齐培训，, LLM 仍然容易在部署时生成不安全的输出。在线监控输出并在安全时发出警报...
Despite alignment training, LLMs remain prone to generating unsafe outputs at deployment time. Monitoring outputs online and raising an alarm when saf...
Distributed Attacks in Persistent-State AI Control
随着人工智能编码代理变得更加自主,，他们越来越多地迭代地交付代码,，并且代码库在会话之间持续存在。这种坚持让...
As AI coding agents become more autonomous, they increasingly ship code iteratively, with the codebase persisting across sessions. This persistence cr...
Theoria: Rewrite-Acceptability Verification over Informal Reasoning States
人工智能系统的 的答案何时应该可信? 形式证明助手提供确定性，但无法达到大部分问题分布; 标量法学硕士...
When should an AI system's answer be trusted? Formal proof assistants offer certainty but cannot reach most of the problem distribution; scalar LLM ju...