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速卖通Brand+加速新市场拓展，韩国多个重点类目三位数增长
继速卖通Brand+在欧盟逆势大涨97%后，Brand+在韩国也取得突破，加速跃迁品牌出海全新主场。记者获悉，今年8月，Brand+品牌商家成为速卖通韩国增长的主力军，其中迷你PC类目GMV环比6月增长超2倍，存储类目增长超150%，渔具等户外娱乐类目也在韩国实现快速增长，爆发明显。…
- 韩国站的爆发意味着在成熟的欧洲市场之外，Brand+品牌已迎来更多机会市场。
- 今年8月大促期间，速卖通Brand+把已经在欧洲验证的一站式品牌出海解决方案复制到了韩国、巴西、美国等市场，从品牌定制方案、渠道资源锁定，站…
- 渔具品牌LEYDUN是8月韩国Brand+品牌的爆单代表，早在开卖前，LEYDUN就通过“超级品牌日”锁定平台站内资源，针对韩国热门钓鱼钓法…
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What Matters for Aggressive Decoding-Time KV Eviction? Temporal Aggregation and Ranking Preservation
arXiv:2609.…
- 03515v1 Announce Type: new Abstract: Decoding-time KV cache compressio…
- Under aggressive KV compression, we find that exponential-moving-avera…
- Value-norm and entropy variants remain highly correlated with attentio…
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PPO-STGNN: A Proximal Policy Optimization Approach with Spatio-Temporal Graph Neural Networks for DAG Task Scheduling in Cloud-Edge-End Computing
arXiv:2609.…
- 03503v1 Announce Type: new Abstract: With the rapid development of the…
- However, cloud, edge, and end nodes are highly heterogeneous in comput…
- Traditional heuristic algorithms and conventional reinforcement-learni…
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GrowPage: On-Demand KV Budgeting for Efficient LLM Reasoning Serving
arXiv:2609.03494v1 Announce Type: new Abstract: Long-output reasoning has made the key--value (KV) cache a critical memory bottleneck for efficient LLM serving.…
- Existing KV compression methods usually rely on a predefined per-reque…
- However, reasoning workloads exhibit substantial demand variation: dif…
- We introduce \textbf{GrowPage}, an on-demand KV budgeting framework th…
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Making Every Tool Call Count: Necessary Tool-Evidence Path Rewards for Agentic Vision-Language Models
arXiv:2609.…
- 03493v1 Announce Type: new Abstract: Modern vision-language models (VL…
- To acquire this missing evidence, agentic VLMs invoke tools such as im…
- However, existing training paradigms primarily evaluate tool-use based…
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AutoGraphForge: Towards Automated Graph Theory Discovery
arXiv:2609.…
- 03478v1 Announce Type: new Abstract: We report on our ongoing project …
- Conjecture generation is counterexample-guided and runs in rounds: a G…
- A novelty filter of $559$ classical and folklore relations, closed und…
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Beyond "Made with AI": Visualizing Provenance Density to Mitigate the Transparency Penalty
arXiv:2609.03460v1 Announce Type: new Abstract: As generative AI makes polished prose cheap to produce, users can no longer rely on fluency as a proxy for truth.…
- We call this failure mode the Fluency Trap: users trust fluent halluci…
- Binary ``Made with AI'' labels respond with authorship disclosure, but…
- We propose Provenance Density, an evidence-visualization interface tha…
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Do GUI Agents Know When Not to Act? Enabling Conflict-Aware Termination for Multimodal GUI Agents
arXiv:2609.…
- 03438v1 Announce Type: new Abstract: Graphical user interface (GUI) ag…
- A reliable agent should not only know how to act, but also when not to…
- In this work, we introduce CONFLICTGUI, a benchmark covering instructi…
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DuplexSpeechBench-IFEval: Evaluating Implicit Instruction Following in Full-Duplex Voice Agents
arXiv:2609.…
- 03423v1 Announce Type: new Abstract: Full-duplex voice agents must con…
- Existing benchmarks largely test these behaviors through explicit turn…
- We introduce DuplexSpeechBench-IFEval (DSB-IFEval) for evaluating impl…
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Caught in the Story: Narrative Captivity in Multi-turn LLMs Conversation
arXiv:2609.…
- 03407v1 Announce Type: new Abstract: People increasingly turn to large…
- Most prior work has studied this context through single-turn judgments…
- These assumptions leave unclear whether narration alone, without an ex…
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Dude: A Dual-Detection Multi-Agent System for Paper-Code Discrepancy Detection
arXiv:2609.…
- 03416v1 Announce Type: new Abstract: LLM-empowered paper-code discrepa…
- However, the limited context capacity and one-sided discrepancy detect…
- In this paper, we propose Dude, the first Dual-Detection Multi-Agent S…
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A Prompt-Engineering Approach to Develop Scalable, Flexible, and Real-Time Hybrid Micro-Level Personalization in a General Purpose AI Teaching Assistant
arXiv:2609.…
- 03402v1 Announce Type: new Abstract: Artificial intelligence (AI) teac…
- This study presents a prompt-engineering-based framework for personali…
- The framework adapts responses using six learner-specific dimensions: …
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Fresh Memory, Stale Plans: Dependency-Scoped Validation for Distributed LLM-Agent Memory
arXiv:2609.03340v1 Announce Type: new Abstract: Distributed LLM-agent teams can read the latest shared facts and still act on an obsolete plan.…
- A planner may derive an action from requirement $r_3$, another agent m…
- We call this \emph{stale-plan execution}: state freshness does not est…
- We introduce PlanFence, a dependency-scoped action-validation protocol.
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Speculative Macro Commit for Faster Tool-Using Agents
arXiv:2609.…
- 03236v1 Announce Type: new Abstract: Tool-using LLM agents spend wall-…
- We introduce \textbf{Speculative Macro Commit} (SMC), a runtime mechan…
- SMC mines recurring multi-action skeletons from training traces and st…
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Structure and Implementation of New Practical English Textbooks Driven by Artificial Intelligence
arXiv:2609.…
- 02981v1 Announce Type: new Abstract: Artificial intelligence is changi…
- This paper studies the structure and application of a new practical En…
- A five-layer architecture is proposed: knowledge mapping, learner prof…
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特斯拉新车发布！Cybercab 正式投入运营，马斯克开始接单了
发布会前一天，马斯克在 X 上发了张梗图 —— 一辆金色 Cybercab 化作漫天沙尘，正朝着奥斯汀市区席卷而来。但在现实里，马斯克口中的这场「风暴」仍在蓄力，距离真正席卷城市还差得远。…
- 今早，特斯拉在美国得州奥斯汀正式发布了 Cybercab 赛博无人驾驶电动车的量产车型。
- 从外观上看，这辆车与 2024 年发布的概念车并没有太大区别。
- 2024 年 10 月，特斯拉在华纳兄弟影城内搭起一片街区，负责接送到场宾客的是 20 辆 Cybercab 和 30 辆 Model Y。
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