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新模型、開放權重、多模態、語音、影像與模型架構。

最新模型

UniF-MoE Extracts Shared Blocks Before Routing Residual Computation, Cutting Inference Time by 45.2% Versus Top-2 GMoE

Rather than deciding shared experts, FFN width, and the number of activated experts separately, UniF-MoE lets each token first select shared channels and then accumulates routing probabilities according to its remaining requirements. In the authors’ DeiT and BERT experiments, it improves accuracy and MoE inference cost, but it has not yet been validated on generative large language models or distributed expert parallelism.

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Cross-Language Prompts Alter Agent Tool Paths, With Four Large Models Retaining Only 71%–73% of Their Action Policies

A Microsoft research team compared 41 languages across 2.38 million rollouts and found that agents take different tool paths when the same task is presented in another language—even with greedy decoding. The study also shows that non-English tasks rely heavily on first translating into English, although its tools are merely symbolic calls and do not capture the errors or side effects of real-world APIs.

最新模型

ReRound Uses a Diffusion Prior to Rechoose Quantization Rounding, Boosting Average Accuracy of 3-/4-Bit Small Models by Up to 1.6 Points

ReRound uses no calibration corpus. Instead, it trains a conditional diffusion model on the model’s own weights to reconsider whether weights near the midpoint of a quantization interval should be rounded up or down. It preserves the existing low-bit format at deployment with no additional inference overhead, but each model requires several hours of model-specific reconstruction upfront.

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Global Debugging Memory Helps AutoResearch Agents Avoid Repeating Mistakes, Raising AIDE Gold-Medal Runs from 22 to 38

With GPT‑5‑mini fixed as the model and a two-hour budget, researchers enabled a debugging advisor to share execution-environment constraints across search branches, allowing all 90 AIDE runs to produce valid submissions. The results suggest that agent scaffolds still contain substantial recoverable compute, though the experiments covered only nine tabular prediction competitions.

最新模型

XCoT-VLA Compresses Autonomous-Driving Reasoning into 2–6 Action Tokens, with Interface Latency as Low as 38.6 ms on H100

XPeng introduces XCoT-VLA, replacing dozens of natural-language reasoning tokens with a limited set of semantic action tokens, then using flow matching to generate continuous trajectories. Open-loop tests show lower lateral error, but no closed-loop safety evaluation has been reported, and the latency figures do not cover the full in-vehicle hardware and software stack.

AI 安全

REDAgentBench Recalculates Agent Attack Rates Using Final Service States, Finding Text Trajectories Miss Up to 11.72 Percentage Points

REDAgentBench executed 1,661 attack cases across sandboxed workspace, email, browser, banking, and external file services, rather than judging harm solely from an agent’s response. When the same runs were scored using service receipts and final states, the attack success rates of all six models were 7.73 to 11.72 percentage points higher than with trajectory-only scoring.

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Agent instruction files grow by an average of 226%; study curbs CLAUDE.md bloat with “rule rationales”

A study of 1,867 public repositories found that agent instruction files such as CLAUDE.md continually accumulate rules while older rules are deleted less and less often. Controlled experiments showed that retaining model-readable rationales for adding rules can eliminate 99.3% of superfluous instructions, though the results have yet to be prospectively validated in large real-world codebases.

最新模型

MeViS-Audio Champion Replaces Single-Model Decisions with Candidate Mask Consensus

The winning report for MeViSv2-Audio at the eighth LSVOS breaks speech transcription, visual grounding, segmentation, and target-presence detection into a multistage pipeline, then selects a trajectory based on agreement among candidate masks. The system achieved a final score of 0.769589, although the official public leaderboard still says results are to be announced, and neither the code nor complete ablation data has been released.