Archive
GitHub 熱門專案、開源工具、框架、runtime 與重要 release。
代理工具
Open-Ended Optimization fixes the objective, data boundaries, interaction permissions, and evaluation, but does not prescribe how the agent should gather evidence or modify skills. With GPT‑5.5 as the optimizer, it outperformed SkillOpt- and GEPA-style workflows in most settings, but medium-strength and weaker models could not maintain the same advantage.
代理工具
Using Docker, Wine, virtual displays, and process-memory reads, DSLE turns real-time combat in a commercial game into a reinforcement learning benchmark with parallel resets. Five baselines consistently conquer only the tutorial boss, while the code the paper claims is public has yet to appear in the repository.
應用研究／AI 基礎設施
Through heterogeneous graph attention, physical-variable decoding, and iterative residual correction, GENCO unifies power flow, optimal power flow, and state estimation. Batched inference on large grids is substantially faster than conventional AC solvers, but its zero-shot cross-grid and real-world SCADA accuracy remains insufficient to directly replace existing tools.
AI 編程工具
Coderlet separates model calls, tool validation and execution results, and persistent memory into three explicit boundaries, providing an executable Python implementation under the MIT License. It is suited to studying agent control flow and failure recovery—not a higher-performing coding agent—and currently operates directly with the user’s operating-system permissions.
最新模型
Universal Activation Bus aligns the intermediate representations of five language models into a fixed 3,072-dimensional space, requiring new models to train only their own linear encoder and decoder. In experiments, models could reuse the same probes, sparse autoencoder, and natural-language explainer, although representation reconstruction for wider models remained noticeably distorted.
代理工具
Peking University researchers have multimodal models interpret only the user’s operational intent, then use Text/Icon candidate detectors and a frozen CLIP model to select the click region. Accuracy on ScreenSpot-Pro rises from the strongest listed baseline’s 18.9% to 41.3%. The paper’s claim of being “regression-free” applies only to the final matching stage: the candidate-box detector still uses bounding-box regression losses, and no implementation has yet been released.
最新模型
Open-EA distilled multi-turn visual model evaluation trajectories into 10,042 supervised examples, moving a planning workflow that previously depended on GPT-4o to the local EA-3B model. The model, data construction pipeline, and runtime are now public, but the claim that evaluation time falls to 10% of traditional methods primarily comes from the original API-based agent and should not be interpreted as a general efficiency guarantee for EA-3B.
最新模型
TIDE no longer treats high token-level agreement as direct evidence of successful distillation. Instead, it separately addresses student overgeneration and the omission of teacher-preferred tokens. Under the severe-mismatch setting, the method also reduces the average response length by 3.6×, although reproducing the full training run still requires eight GPUs and the authors have not released a checkpoint.
最新模型
Rather than replacing the quantizer, ICBQ jointly recalibrates the boundaries between adjacent Transformer blocks a second time, reducing the accumulation of early errors with depth. The quality improvement comes at the cost of a 21% average increase in quantization time, and the authors have not yet released an implementation.
代理工具
QueryProof delegates ambiguity detection, SQL allowlisting, and post-execution validation to deterministic rules, leaving only metric resolution and SQL drafting to the model. On an 80-question frozen test set, it outperformed a 32B baseline without the same rule-based wrapper, although the advantage’s confidence interval still crossed zero after resampling by task family.
硬體
ArchAgent v2 evolves L1D, L2, and LLC prefetchers in stages, using real-time capacity checks to eliminate candidates that exceed the hardware budget. The final design outperformed human champion BertiGO by 0.3% in the DPC4 simulation environment, but has not yet been validated on physical silicon.
推論系統
Tevatron-Elastic unifies early exit, Matryoshka vectors, and inter-layer token compression into configurable operating points, allowing one checkpoint to serve multiple cost profiles. In the authors’ test environment, the Qwen3‑0.6B reranker retained full quality at layer 16 while achieving a 1.75× speedup.