All News

1523 technical news articles

代理工具

ToolGrad Reverses the Tool-Use Data Generation Process, Raising Gemma 3 12B’s BFCL Score to 83.1 with 500 Synthetic Examples

Google’s ToolGrad first builds an executable API chain, then generates the corresponding instruction in reverse, avoiding the inefficiency of traditional agents searching for a solution through trial and error. Experiments show that even a small dataset can improve function-calling performance on unseen tools, though the results remain concentrated on single-turn benchmarks and synthetic workflows.

推論系統

SageMaker Preserves KV Cache with Prompt Prefix Routing, Cutting Llama 3.1 70B Time to First Token by Up to 77%

SageMaker real-time inference endpoints now support `PREFIX_AWARE`, which aims to route requests with the same system prompt, documents, or conversation history to the same instance. AWS’s official seven-node tests show substantial gains for long-prefix workloads, although serialization differences, popular prefixes, and cache capacity can still affect real-world performance.

地球觀測與應用研究

MAPL-EMIT Trains Satellite Methane Detection on 3.6 Million Simulated Plumes, Releases Model and Global Dataset

Google and NASA JPL enable a vision Transformer to directly combine EMIT’s spectral and spatial context, simultaneously estimating concentrations, plume boundaries, and emission-source locations. The publicly released model recovers about 80% of expert-labeled cases, but its higher sensitivity also introduces risks of surface confusion and false positives.

最新模型

Cognition Launches SWE-2: Training Multiple Reasoning-Cost Levels in a Single Reinforcement Learning Run

Built on the 2.8T-parameter Kimi K3 base model, SWE-2 improves coding-agent efficiency through cost penalties, low-precision rollouts, and a draft model updated in sync with training. Official benchmarks show performance approaching that of frontier closed-source models, but the results were largely produced by Cognition itself, and neither a standalone API nor model weights are currently available.

具身 AI 與機器人

FolDeX Evaluates Long-Horizon Garment Folding With More Than 2,000 Hours of Real-World Robot Data

FolDeX turns garment folding into a real-world benchmark spanning more than 20 tasks and over 10 robot embodiments, specifically testing whether heterogeneous data can be reused across tasks, environments, and hardware. The team also offers remote evaluation on physical robots, but the data license, full download process, and first set of comparable baselines remain to be confirmed.

代理工具

TRACE Uses Hidden Interventions to Synthesize Verifiable Rewards, Teaching a 35B Agent to Trace Data Anomalies

TRACE first injects known faults into a simulator, then has an agent use Python and SQL to infer the root cause from observational data containing noise and confounders. After SFT and reinforcement learning, Qwen3.5-35B-A3B outperformed the prompted frontier models evaluated in the paper on a held-out test set, though the results remain limited to a single synthetic advertising environment.