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代理工具
Fujitsu ported its fine-tuning-free Qwen3.5-27B setup, eight-stage repair workflow, and cross-agent test selector to Java unchanged. It solved 374 of 500 tasks on the Python SWE-bench Verified benchmark, but achieved only a 32.03% success rate on Java, showing that agent-framework portability does not imply equal language proficiency.
最新模型
Starting from Qwen3-4B, PertMind combines gene responses, pathway direction, and output formatting into computable rewards, eliminating the need to manually author large numbers of biological reasoning traces. The model transfers zero-shot to inverse perturbation identification and dual-perturbation tasks, but its natural-language mechanistic explanations still cannot be treated as causal proof.
推論系統
The new evaluation no longer provides a separate allowance for each problem. Instead, models must allocate tokens or tool calls across six problems. Even though all six models can solve the problems individually, under a shared budget they generally fail to direct compute toward the problems with the highest expected payoff.
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Prior Labs has open-sourced a unified workflow for data splitting, hyperparameter tuning, and evaluation, enabling a fresh comparison of graph models, relational Transformers, and tabular methods. TabPFN-Rel shows that aggregating relational data before passing it to a tabular foundation model remains competitive, although the CPU cost of feature synthesis is not fully included in the leaderboard’s timing results.
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A new evaluation separates tool calls into state retrieval and task execution, finding that context compression can sharply increase an agent’s rechecking costs before success rates decline. Under fivefold compression, GPT-5.5’s completion rate changed from 80% to 85%, while its average retrieval calls rose from 21.0 to 63.9.
推論系統
DriveCache uses vehicle translation and rotation known before generation to schedule diffusion-model feature reuse across different driving scenarios. On Wan2.2 A14B, it delivers 1.276 dB higher PSNR than SeaCache at a nearly identical acceleration level, though the code has not yet been released.
AI 安全
A new study uses an additive log-odds model to measure subtle biases introduced by paraphrases, typos, animal names, and JSON fields, then combines cues that push in the same direction into a prompt. Some optimized prompts transfer across models, though the current experiments focus on artificially designed binary-choice questions.
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UCL researchers modeled agents, files, messages, and read/write events as a temporal network and analyzed 1,902 controlled programming tasks. The results show that collaboration topology is determined mainly by task structure; merely designating a coordinator in the prompt did not create an actual hub.
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New research shows that even when the content being verified is identical, prior auditing and repair experience retained in context causes several open models to flag fewer errors. Signal detection analysis found no corresponding improvement in discriminability, suggesting that the agent pipeline changes the verification threshold rather than simply making the model more accurate.
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Quipu places data, trust labels, rules, and decisions on dual timelines, and checks candidate state before committing agent writes. In the authors’ injected-defect test, all six defects persisted without a gate, compared with zero under Quipu, though the evidence still comes mainly from a single deterministic evaluation designed by the system’s authors.
AI 安全
CompoSkill reframes skill security from evaluating individual packages to analyzing paths involving cross-skill data flows and side effects. Across its 1,140 test cases, the highest risk-chain formation rates for white-box and black-box attacks reached 83.3% and 80.6%, respectively, but these figures are not equivalent to real-world compromise success rates.
代理工具
Rather than modifying agent framework internals, ClawGym II intercepts calls at the model-serving boundary and reconstructs multi-turn trajectories using a prefix tree. After training, Qwen3-30A3B’s Pass@1 on ClawGym-Bench increased by 9.98 percentage points with OpenClaw and 14.81 percentage points with Claude Code.