arXiv 论文
10 条
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1
WikiSkill: Compiling Agent Experience into Persistent Knowledge for Skill Evolution
Agent skills package specialized knowledge and workflows into reusable resources that extend AI agent capabilities. Recent work automatically discovers such skills from agent experience, which enablesLiyan Tang, Cyrus Rashtchian, Chun-Sung Ferng
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2
SWE-Prime: Fewer Trajectories, Better Performance
To improve large language models' ability to resolve real-world software issues, prior work has focused on constructing large-scale agent trajectory datasets and performing supervised fine-tuning (SFTDewu Zheng, Ruizhe Ye, Yanlin Wang
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From Static to Dynamic: Benchmarking Real-World Code Review with MCR-Bench
In real-world software development, code review typically involves iterative interactions between developers and reviewers to improve software quality, making the process costly and time-consuming. AlDewu Zheng, Yanlin Wang, Xiwen Wang
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RedEvoAgent: Automatic Red-Teaming Agent with Experience-Driven Skill Evolution
LLM-based agents are increasingly deployed in product-level execution harnesses, where jailbreaks can trigger harmful tool use and persistent state changes, creating greater risks than unsafe text genJunjie Zhang, Hui Liu, Kecheng Chen
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5
Mechanistic Reaction Prediction via Discrete Flow Matching on Graph-Structured Electron Occupation
Chemical reactions are fundamentally transformations in electron space, yet most machine learning approaches model them either through \textit{de novo} generation of product molecules or through heuriNguyen Xuan-Vu, Octavian Susanu, Daniel Armstrong
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6
Persona-Execution Separation: An Architecture Pattern for Evolving LLM Agents under Execution Audit
Large language model (LLM) agents in governed organizations must let the persona (instructions, tone, self-presentation) evolve freely, while keeping execution (stateful, audited work) traceable. A siYisen Xi
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7
Beyond F1: Evaluating Coverage and Failure Recovery in AI Model Security Scanners
Static scanners are increasingly used to identify executable or otherwise unsafe content in machine- learning artifacts, yet conventional evaluation metrics characterize only cases where a scanner yieQianlong Lan, Vinothini Pandurangan, Anuj Kaul
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8
Learning a Continuous Sepsis Severity Score Without Hour-by-Hour Supervision: A Two-Site Retrospective Study
Currently used sepsis severity indices rely on fixed variables and weights established decades ago, which are coarsely discretized and calibrated to a cohort that no longer reflects contemporary critiKevin Zhu, Ryan Zhang, Baraa Abed
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9
Scaling Graph Neural Networks for Friend Recommendation: Multi-Hash User Embeddings and Temporal Neighbor Sampling
Friend recommendation is inherently graph-structured: the relevance of a potential connection depends on multi-hop social context rather than user attributes alone. However, deploying message-passingMaksim Utushkin, Andrei Ovsiannikov, Alexander D'yakonov
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10
CLAP: Cross-Embodiment Video World Models are Zero-Shot Physical Simulators
State-of-the-art action-conditioned video models are typically restricted to a single robot embodiment, preventing them from leveraging the vast corpus of heterogeneous video data that contains rich sKechen Liu, Ola Shorinwa
Hacker News
10 条
- 1 GUIs should be fully keyboard-driven
- 2 GLM-5.3 is now open-weight
- 3 Judge rules Trump administration’s blacklisting of Anthropic was illegal
- 4 Htmx 4.0
- 5 U.S. sanctions against the A/I Collective
- 6 Luanti removed from Google Play due to baseless AI copyright notice
- 7 Inception-style curved map for turn-by-turn directions
- 8 Just the rumour of a bug is enough to find an exploit these days
- 9 Hilariously fast volume computation with the divergence theorem (2018)
- 10 The Twelve-Factor App (2025)