Pai 的 AI 雷达

模型与评测

今天：数学代理作弊与 AI 政策（Agent 原型），洛杉矶建筑变迁可视化（Article URL:）。并行还有 A Tesla ran、Replaceable but Employed、Agent 编程不确定性闸门。

日期: 2026/09/08
今日条目: 108
当前类目: 56

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From Language Models to World-Acting Systems: Progress and Limits of Agentic AI across Digital, Social, Virtual, and Physical Environments

Large language models become consequential agents when surrounding systems let outputs change external state. Models now call tools, operate interfaces, delegate work, retain state, inhabit generated worlds, and control robots or laboratory equipment. Such advances are often narr

推荐理由「From Language Models to World-Ac…」偏机器人，对造物者有用的是方法能不能迁到自己的 Agent 或生成管线，不是把标题再念一遍。

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Constructing and Evaluating Clinical Reasoning Trajectories for Medical Agent

Evaluation of medical artificial intelligence agents remains predominantly answer-centric, assessing only the correctness of final outputs while overlooking the quality of intermediate reasoning. In clinical settings, however, a correct answer reached through fabricated evidence

推荐理由「Constructing and Evaluating Clin…」偏Agent，对造物者有用的是方法能不能迁到自己的 Agent 或生成管线，不是把标题再念一遍。

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TruthInsightBench: An Evidence-Grounded Benchmark for Automated Evaluation of Open-Ended Scientific Discovery Agents

Autonomous coding agents are increasingly proposed as AI-scientist systems that conduct analyses and write research reports, but executing a prescribed analysis is not the same as making a discovery. Existing benchmarks are configured for reproduction: tasks, data, and rubrics ar

推荐理由「TruthInsightBench: An Evidence-G…」偏编码代理，对造物者有用的是方法能不能迁到自己的 Agent 或生成管线，不是把标题再念一遍。

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Forgetting Without Restarting: Execution-State Unlearning for Stateful LLM Agents

Long-running LLM agents are stateful: beyond the transcript they accrete compressed summaries, plaintext memory, pending tool plans, and, under every serving API, a KV cache. Yet today's "forget" operations delete a plaintext memory record and stop, leaving every artifact derived

推荐理由「Forgetting Without Restarting: E…」偏Agent，对造物者有用的是方法能不能迁到自己的 Agent 或生成管线，不是把标题再念一遍。

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CoSkill: Joint Reinforcement Learning of Reasoning and Meta-Skill Agents for Hierarchical Skill Evolution

Skill libraries improve the sample efficiency of agentic reinforcement learning (RL) by enabling large language model (LLM) agents to reuse procedural knowledge. Yet existing paradigms exhibit structural shortcomings: they either decouple skill evolution from policy optimization

推荐理由「CoSkill: Joint Reinforcement Lea…」偏强化学习，对造物者有用的是方法能不能迁到自己的 Agent 或生成管线，不是把标题再念一遍。

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MoirfEolas and CríochScore: Developing Resources for and the Evaluation of Tokenization Alignment with Irish Morphology

This paper presents new tokenization resources for Irish and evaluation measures of alignment with the morphological boundaries of the language. We present MoirfEolas, a dataset of over 35,000 Irish words mapped to their respective eclipses, prefixes and suffixes as well as an ev

推荐理由「MoirfEolas and CríochScore: Deve…」对造物者有用的是方法能不能迁到自己的 Agent 或生成管线，不是把标题再念一遍。

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Fractal basins trap latent reasoning

Reasoning allows artificial intelligence models to revisit and correct their mistakes, enabling recent frontier advances in mathematical theorem solving, software engineering, and autonomous task planning. Reasoning models are widely observed to reason for longer on harder tasks,

推荐理由「Fractal basins trap latent reaso…」对造物者有用的是方法能不能迁到自己的 Agent 或生成管线，不是把标题再念一遍。

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Minimax Lower Bound for Estimating Diffusion-based Local Intrinsic Dimension

While diffusion-based methods have recently emerged as effective tools for probing the intrinsic geometry of high-dimensional data, their statistical difficulty remains largely unexplored. We study estimation of the finite-scale population functional underlying FLIPD (Kamkari et

推荐理由「Minimax Lower Bound for Estimati…」偏生成模型，对造物者有用的是方法能不能迁到自己的 Agent 或生成管线，不是把标题再念一遍。

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MCPO: Modality-Contrastive Preference Optimization for Multimodal Chain-of-Thought Compression

Recently, multimodal large-scale reasoning models have demonstrated remarkable capabilities in solving complex tasks through long Chains-of-Thought (M-CoT). However, excessively long reasoning trajectories incur substantial computational costs and significant KV-cache pressure. E

推荐理由「MCPO: Modality-Contrastive Prefe…」偏多模态，对造物者有用的是方法能不能迁到自己的 Agent 或生成管线，不是把标题再念一遍。

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I built a fighter jet game with Fable 5.1

I built WarLightning, a browser-based fighter jet combat game. You can: Fly different fighter jets Dogfight AI aircraft Fire air-to-air missiles Bomb ground targets Fly around large maps Choose aircraft from a hangar It's still very much in development, and I'm trying to figure o

推荐理由I built a fighter jet game with Fable：I built WarLightning, a browser-based fighter jet combat game。

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DCFA: Dual-view Causal-inspired Attribution for Failure Reasoning in LLM-based Multi-agent Systems

Large language model (LLM)-based multi-agent systems have experienced rapid growth in recent years. Despite their promise, such systems remain fragile, frequently exhibiting reasoning and coordination errors that can lead to system-level failures. Failure attribution in such syst

推荐理由「DCFA: Dual-view Causal-inspired…」偏Agent，对造物者有用的是方法能不能迁到自己的 Agent 或生成管线，不是把标题再念一遍。

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Necessary or Sufficient? Evaluating LLM Explanations With Behavioural Evidence

LLM decision components that can operate within agent workflows often produce action-relevant recommendations or judgements together with explanations. Operators may use the named factors to monitor a system, diagnose errors, or decide when to escalate an output. Such use assumes

推荐理由「Necessary or Sufficient? Evaluat…」偏Agent，对造物者有用的是方法能不能迁到自己的 Agent 或生成管线，不是把标题再念一遍。

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Necessary or Sufficient? Evaluating LLM Explanations With Behavioural Evidence

LLM decision components that can operate within agent workflows often produce action-relevant recommendations or judgements together with explanations. Operators may use the named factors to monitor a system, diagnose errors, or decide when to escalate an output. Such use assumes

推荐理由「Necessary or Sufficient? Evaluat…」偏Agent，对造物者有用的是方法能不能迁到自己的 Agent 或生成管线，不是把标题再念一遍。

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Methane Detection On Board Satellites from Unorthorectified Imagery

As a potent greenhouse gas, methane is a major driver of climate change. Its effective mitigation relies on timely detection. Conventional detection methods rely on orthorectification to correct geometric distortions and matched filters to enhance plume signals, which are steps d

推荐理由「Methane Detection On Board Satel…」对造物者有用的是方法能不能迁到自己的 Agent 或生成管线，不是把标题再念一遍。

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RefactorPlatform: An Open-Source Harness for Controlled Evaluation of Repository-Scale Refactoring Agents

Repository-scale refactoring requires coding agents to propagate a single change across many interdependent files without altering program behavior, yet to our knowledge no existing harness isolates the design choices that determine agent success on this task. We present Refactor

推荐理由「RefactorPlatform: An Open-Source…」偏编码代理，对造物者有用的是方法能不能迁到自己的 Agent 或生成管线，不是把标题再念一遍。

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Attention-guided super-resolution of 4D flow MRI in carotid arteries

Four-dimensional (4D) flow magnetic resonance imaging (MRI) is a powerful non-invasive technique for visualizing and quantifying complex blood flow patterns in vivo. Despite its clinical promise, broader adoption is limited by low spatial resolution and sensitivity to noise, whic

推荐理由「Attention-guided super-resolutio…」对造物者有用的是方法能不能迁到自己的 Agent 或生成管线，不是把标题再念一遍。

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AutoLR: Automating the Path from Research to Launch Review in Industrial Recommender Systems

Improving an industrial recommender is an iterative research-and-engineering process rather than a direct path from idea to deployment. In \textbf{DASHEN, NetEase's gaming-community app}, algorithm engineers typically identify promising directions from research papers, technical

推荐理由「AutoLR: Automating the Path from…」对造物者有用的是方法能不能迁到自己的 Agent 或生成管线，不是把标题再念一遍。

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PRISM-Bench: An Audio-Centric Diagnostic Benchmark for Text-to-Audio-Video Generation

Text-to-audio-video (T2AV) generation has advanced rapidly, but its evaluation still underestimates the audio modality. Existing benchmarks either treat audio as an auxiliary component of video quality or assess it in isolation from audiovisual grounding, making it difficult to d

推荐理由「PRISM-Bench: An Audio-Centric Di…」对造物者有用的是方法能不能迁到自己的 Agent 或生成管线，不是把标题再念一遍。

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MM-IFEval-Pro: A Multilingual and Attack-Resistant Benchmark for Instruction-Following in Vision-Language Models

As vision-language models (VLMs) rapidly advance in image understanding, cross-modal reasoning, and complex instruction execution, instruction-following capability has become a key indicator of their reliability and practicality. However, existing multimodal instruction-following

推荐理由「MM-IFEval-Pro: A Multilingual an…」偏视觉语言，对造物者有用的是方法能不能迁到自己的 Agent 或生成管线，不是把标题再念一遍。

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Model Retirement Creates Reproducibility Risk in Biomedical AI Publications

Background. Large language models (LLMs) are being adopted in biomedical research at a rapid and accelerating pace, yet commercial services that host many widely used models operate under deprecation schedules that can complicate scientific reproducibility. Methods. We searched P

推荐理由「Model Retirement Creates Reprodu…」对造物者有用的是方法能不能迁到自己的 Agent 或生成管线，不是把标题再念一遍。

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MMTClinic: Multimodal, Multilingual Time Series Question Answering and Reasoning Benchmark for Clinical Domain

Time-series data in clinical settings is crucial for capturing dynamic changes in a patient's health over time, enabling timely diagnosis, personalized treatment, and early detection of critical events. However, the development of clinically reliable and linguistically inclusive

推荐理由「MMTClinic: Multimodal, Multiling…」偏多模态，对造物者有用的是方法能不能迁到自己的 Agent 或生成管线，不是把标题再念一遍。

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PACE: Propagation-Aware Collaborative Correction for One-Shot Personalized Federated Graph Learning

Client heterogeneity creates both an opportunity and a risk in personalized federated graph learning. Knowledge held by other subgraphs may complement a receiver's Local model, but an incompatible transfer can override reliable predictions. One-shot communication sharpens this te

推荐理由「PACE: Propagation-Aware Collabor…」对造物者有用的是方法能不能迁到自己的 Agent 或生成管线，不是把标题再念一遍。

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Communication-Efficient Personalized Federated Learning via Layer-Wise Multi-Threshold Random Sketching

Personalized federated learning (PFL) is a promising paradigm for collaborative learning over distributed devices, where edge nodes collaboratively train personalized models without sharing raw data. Although PFL addresses data heterogeneity by learning client-specific models, it

推荐理由「Communication-Efficient Personal…」对造物者有用的是方法能不能迁到自己的 Agent 或生成管线，不是把标题再念一遍。

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Reinforcement Learning for improving Large Language Models' Catalan text simplification capabilities

Although automatic text simplification (ATS) is critical for accessibility, its progress has not matched the rapid evolution of broader natural language processing techniques. This paper investigates the application of reinforcement learning (RL) to improve the quality of ATS for

推荐理由「Reinforcement Learning for impro…」偏强化学习，对造物者有用的是方法能不能迁到自己的 Agent 或生成管线，不是把标题再念一遍。

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