我国力争到 2030 年关键软件全面实现智能化升级
IT之家 9 月 13 日消息，据新华社报道，工业和信息化部 11 日对外发布《“人工智能 + 软件”专项行动实施方案》，提出到 2030 年，人工智能与软件和信息技术服务业融合发展实现新跃升， 关键软件全面实现智能化升级 ，智能编程、智能…
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共 86 条Environments as Scaffold: Enriching Feedback to Bootstrap Self-Evolving Agents in Long-Horizon Tasks
Large Language Models demonstrate remarkable proficiency in static reasoning, yet training them as autonomous agents thr…
SyncWorld: Visual Calibration Enables World Models as Zero-Shot Simulators
World models are increasingly used as policy-in-the-loop imagination environments, where reliable rollouts require fine-…
SchemeArena: Factorized Stress Testing of Scheming in LLM Agents
We study scheming in LLM agents, in which agents covertly pursue misaligned goals. Our focus is to understand how schemi…
AgentGrad: Intervention-guided Prompt Optimization for Multi Agent Systems
Large language model (LLM)-based multi-agent systems (MAS) achieve strong performance by employing specialized multiple …
PlannerForge: LLM Agents for Scenario-Based Testing of Motion Planners in Autonomous Driving
Ensuring the safety of autonomous driving is a critical challenge. Scenario-based testing is a systematic process used t…
SWE-Bench Pro Verified: A Reliable Benchmark for Software Engineering Agents
SWE-Bench Pro has emerged as a standard benchmark for evaluating software engineering agents on challenging repository-l…
TANGO: Humanoid Navigation in Cluttered Environments with a Whole-Body Vision-Language-Action Model
We study the problem of navigating cluttered indoor environments with a humanoid robot. Unlike conventional methods that…
SAEScientist-Bench: Can AI Agents Conduct Autonomous SAE Interpretability Research?
While research on recursive self-improvement (RSI) has predominantly automated model training pipelines, reliable autono…
CosmoH2G: A Hand-to-Gripper Transfer Dataset and Baseline Method for Object Manipulation with Complex Spatial Movements
Transferring human hand demonstrations to robotic grippers has recently emerged as a cost-effective solution for robot l…
Scores Alone Do Not Prove Discovery: The Discovery Certification Protocol for Auditing AI Research Agents
AI research agents combine prior knowledge, public sources, and experimental feedback to produce useful results. The Dis…
MOLE: Detecting Insider Threats in AI Agents
Model misalignment, prompt injection, or operator misuse could lead AI agents operating frontier-lab accounts to exfiltr…
Measuring Language Transfer in Robot Policies: Adding Greek to a Cosmos3 Vision-Language-Action Policy
Robot foundation models are trained and evaluated predominantly in English, and robot demonstration corpora do not exist…