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限量手办 + 实景体验，浙江人行NAVIAI2026WRC 福利提前曝光
8 月 19 日至 23 日，2026 世界机器人大会（WRC2026）将在北京亦庄亦创国际会展中心举办。浙江人形机器人创新中心将携旗下 NAVIAI 人形机器人亮相 C-105 展位，集中展示人形机器人在多元场景的落地应用成果。…
本次展会上，NAVIAI 将呈现工业制造、智慧零售、家庭服务、遥操数采多场景的实操能力，现场演示拆垛分拣搬运、货品递送、烹饪清洁、远程数据采…
另有文娱演绎类场景在 8 月 19 日开展当天作为特别环节限时展示。
大会期间，浙江人形机器人创新中心有限公司首席科学家熊蓉教授将于 8 月 21 日站上主论坛，分享 NAVIAI 的技术演进与未来落地规划，多…
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智谱发布 GLM-5.3，编程能力更强；传苹果训练国内专用 AI 模型；微信：朋友圈现在、过去、未来都不会有二次编辑功能 | 极客早知道
智谱正式发布 GLM-5.3，拥有更强编程能力 8 月 14 日，据介绍，与 GLM-5.2 相比，GLM-5.3 基座模型未变，但通过极致的后训练 Scaling 大大提高了模型的智能上界。…
3 拥有更强的编程能力，在内部自建体感评测中较 GLM-5.
2 提升 50%，在包括 TerminalBench3.
0、Agents'LastExam(CLI)在内的公开基准测试中取得开源第一。
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早报｜曝苹果与阿里合作训练AI模型/微信:永不推出朋友圈二次编辑/售价20万,追觅首台手机交付
曝苹果与阿里合作，为中国市场训练自研 AI 模型 微信确认朋友圈永不推出二次编辑功能 售价 20 万元，追觅首台 AURORA 手机交付：24K 足金镶宝石 Google DeepMind 或裁员三分之一以上，资源转向 Flash WorkBuddy 接入 GLM-5.…
3 广州推出「Token 贷」：按算力合同和 Token 消耗额度授信 曝 DeepSeek 正研发情感 AI 模型 调查：美国年轻人普遍不…
3，同一基座靠后训练提升编程与网络安全能力 Ling-3.
0-tiny 与 ASystem AReno 打通单机 Agentic RL 训练闭环 Suno Studio 2.
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When Self-Consistency Backfires: Majority Vote Hurts the Majority of Hard Science Problems for Small LLMs
arXiv:2608.…
11403v1 Announce Type: new Abstract: Self-consistency (SC) via majorit…
On the full GPQA Diamond benchmark (198 graduate-level science questio…
6% of problems for Qwen2.
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From Numbers to Judgment: Specialist LLM Agents and Reinforcement Learning for European Listed Real Estate
arXiv:2608.…
11381v1 Announce Type: new Abstract: We study whether the localized nu…
Larix maps a 16-lens European listed-real-estate analysis framework to…
Across 19 firms spanning seven regulatory wrappers, decomposition impr…
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Inverse Theory of Mind Modeling for Content Recommendation: From Web Browsing to Dynamic Intelligent Interfaces
arXiv:2608.…
11354v1 Announce Type: new Abstract: Modern recommender systems treat …
As interfaces evolve from static layouts toward generative UIs and imm…
We propose an Inverse Theory of Mind (IToM) pipeline that reasons back…
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Can Frontier LLMs Match Natively Multimodal Embeddings? A Comparison on Hard-Negative Text-to-Image Retrieval
arXiv:2608.…
11343v1 Announce Type: new Abstract: Multimodal retrieval and classifi…
The March 2026 release of Gemini Embedding 2, Google's first natively …
Simultaneously, frontier Large language models (LLMs) have also demons…
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Apodex Discovery: Reality Benchmarks and Environments for Evaluating and Building Discoverative Artificial Intelligence
arXiv:2608.11341v1 Announce Type: new Abstract: Apollo did not reach the Moon merely because its engineers could solve difficult equations.…
It succeeded by turning a distant ambition into a mission architecture…
AI now faces a similar transition: frontier models can solve difficult…
We introduce Apodex Discovery, a framework for building and evaluating…
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Deployment Decision Reliability: A Generalizability-Theory Framework for Sizing Long-Horizon Agent Evaluations
arXiv:2608.11323v1 Announce Type: new Abstract: Enterprise practitioners read agent leaderboards as if they ranked agent capability.…
We show, across three open agent-trace benchmarks (TheAgentCompany, $\…
Leaderboards rank specialization, not capability.
We arrive at this through a four-facet Generalizability Theory varianc…
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Glance, Scrutinize, and Think: Advancing Video Anomaly Detection from Training-Free to Agentic Reasoning
arXiv:2608.11260v1 Announce Type: new Abstract: Video Anomaly Detection (VAD) aims to identify anomalous events and localize their temporal intervals.…
Existing approaches exhibit a "when-what" dissociation: traditional DN…
We attribute this to the absence of a unified reasoning paradigm.
Inspired by how humans inspect surveillance videos - glancing globally…
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Adaptive Hybrid Particle Swarm Optimization with Gradient Descent
arXiv:2608.…
11258v1 Announce Type: new Abstract: Gradient injection helps Particle…
We propose Adaptive Hybrid PSO (AHPSO), which uses a sigmoid function …
Under budget-normalized comparison (PSO given equivalent total functio…
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Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures
arXiv:2608.…
11255v1 Announce Type: new Abstract: Accurate prediction of vapor--liq…
While deep learning models can provide accurate predictions, they ofte…
In this work, we propose a symbolic machine learning approach to disco…
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Local verification cannot detect non-transportability: a cohomological theory of context preservation in agentic reasoning
arXiv:2608.…
11252v1 Announce Type: new Abstract: Agentic AI systems routinely tran…
We prove this class of safeguard is structurally incomplete.
Modelling a covering of context space by its nerve and evidence by a r…
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AgonAlpha: Autonomous Alpha Discovery via Prompt Economy and Scalable Agentic Search
arXiv:2608.…
11250v1 Announce Type: new Abstract: Language models can propose many …
We present AgonAlpha, an architecture that searches over frozen resear…
To our knowledge, AgonAlpha is the first alpha-mining system to combin…
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EvoGraph-Mem: Failure-Aware Editable Graph Memory for Long-Term Language Agents
arXiv:2608.11248v1 Announce Type: new Abstract: Long-term memory is essential for language agents operating across extended interactions and evolving tasks.…
Existing memory-augmented agents mainly focus on storing and retrievin…
In particular, previously distilled insights can become outdated, over…
To address this issue, we study insight-level memory maintenance for l…
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Conformity Mitigations in Large Language Models Lie on a Single Resistance-Receptivity Frontier
arXiv:2608.…
11247v1 Announce Type: new Abstract: Recent advances in language model…
Each agent sees what the others assert before it answers, so peer opin…
We measure that displacement in 23 open-weight models, 19 conditions, …
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Towards the Harness of Embodied Agents
arXiv:2608.…
11246v1 Announce Type: new Abstract: The success of coding agents has …
We ask whether the same paradigm extends to embodied agents in the phy…
We present Thea, a harness in which an agentic loop orchestrates robot…
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BEST-KAG: Enhancing Question Answering of Building Engineering Standards with Multimodal Knowledge Graph Modeling and Large Language Model
arXiv:2608.11244v1 Announce Type: new Abstract: Construction standards are critical for building safety and sustainability.…
Existing standard application workflows rely on keyword-based document…
To address these limitations, this study develops a multimodal knowled…
The framework introduces 1) a multimodal knowledge graph (MKG) for uni…
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Towards Sustainable Learning in Online Education: A Reinforcement Learning Approach
arXiv:2608.…
11245v1 Announce Type: new Abstract: Online education offers unprecede…
To address these challenges, we introduce AI Tutor, a reinforcement le…
In the short term, AI-Tutor draws on cognitive theory to guide learner…
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The Off-Support Barrier: Why Semantic Safety Constraints Are Not Learning-Problem Invariants, and What Follows for Prior Design, Containment, and Verification
arXiv:2608.…
11243v1 Announce Type: new Abstract: We argue that a single structural…
, the agent does not escape its sandbox) is an off-support object.
Formally, if q is the data distribution and \(p(\cdot\mid w)\) the mod…
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RecSys Factory: Bounding LLM Agent Autonomy to Decision Points in the Industrial Recommender Lifecycle
arXiv:2608.…
11241v1 Announce Type: new Abstract: Deploying LLM agents into industr…
Any two can be maximized against the third.
We present RecSys Factory, an LLM-agent platform deployed for 78 days …
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VQ-bench: A Composable Vector Quantization Framework
arXiv:2608.11240v1 Announce Type: new Abstract: Vector quantization is an old problem but has recently become central to AI infrastructure.…
It is therefore experiencing a surge of renewed engineering and resear…
This paper provides a unified framework for developing and benchmarkin…
We describe 7 common conceptual quantization primitives and show how t…
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Towards Query-Agnostic RAG Evaluation via Query Coverage and Claim Verifiability
arXiv:2608.…
11238v1 Announce Type: new Abstract: Retrieval-augmented generation im…
We propose Q-CARE, a query-agnostic and fully reference-free framework…
Q-CARE establishes a unified evaluation principle based on query cover…
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Geometry-aware Incremental Neural Operator for Long-Horizon PDE prediction
arXiv:2608.11237v1 Announce Type: new Abstract: Neural operators have shown strong potential for learning solution operators of partial differential equations (PDEs).…
However, long-horizon autoregressive prediction remains challenging: l…
Existing methods mainly improve state representations and operator bac…
To address these issues, we propose a geometry-aware incremental neura…
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