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Learning 3D Editing without Paired Supervision via Generative Prior Distillation
Instruction-guided 3D editing is essential for interactive content creation, yet it faces a significant bottleneck: the …
What LLM Trading Agents Actually Do in Production: A Six-Month, Population-Scale Record from Two Fleets
We present a continuous, population-scale measurement record of autonomous language-model trading agents operating in pr…
RISE: Recursive Improvement via Self-Extrapolating Policy Distillation
On-policy distillation (OPD) provides dense, per-token supervision for language model post-training, but its effectivene…
EVOHARNESSBENCH: Can Your Agents Keep Pace with an Evolving Harness?
Modern LLM-based agents operate through a harness of tools, reusable skills, and specialist agents that shapes what they…
Iris: Climbing to the Search Frontier
We present Iris-mini and Iris-pro, two search agents trained at the 35B-A3B and 397B-A17B scales, together with the data…
DRACO: Fine-Grained Credit Assignment with Dynamic Rubrics for Long-Horizon Agent Training
Reinforcement Learning from Verifiable Rewards works well when a task has a programmatic checker, but most long-horizon …
Unfold The World: Factorize 4D Properties in Reinforcing Spatial Reasoning
Despite the remarkable prowess of Vision-Language Models (VLMs) in general multimodal tasks, they remain fundamentally `…
HarvestBench: Measuring Whether LLM Agents Will Pay to Avoid Killing Animals
Benchmarks for the side effects an agent causes on the way to a goal already exist, but HarvestBench is the first to put…
MaxKernel: Agentic Kernel Generation for TPUs
Designing and authoring high-performance custom kernels for accelerators is a complex task that requires deep hardware-l…
Safety for Whom? Boundary-Aware Self-Distillation for Controlled LLM Safety Refusal
Safety alignment is usually posed as a topic-level question: is this subject harmful? Deployments ask a narrower one. A …
Unlocking Lossless Speedups in LLMs via Discrete Diffusion
Large Language Models (LLMs) owe much of their success to next-token prediction (NTP), but their autoregressive (AR) str…
RoboTok: An Internet-Scale Data Engine for Human Demonstration Retrieval and Dexterous Manipulation Learning
Robot learning increasingly depends on broad and diverse demonstrations, yet collecting robot data remains expensive and…