🔥 AI & 科技
AI 周报，深度分析行业趋势：Plans & Pricing…
📎 The Batch
Long-term conversational memory in multi-party settings requires more than retrieving relevant content from long-term conversations: it must distinguish who said what, whom each statement concerns, how individuals perceive one another, what information is shared by the group, and how states change o
📅 09-22📎 arXiv AI Papers
Agents often work on complex problems that require millions of tokens of context, which necessitates compacting across sessions due to limited context windows. We develop CliffCompaction, an autocompaction technique that reduces cost by up to 50% under a bounded context while maintaining or improvin
📅 09-22📎 arXiv AI Papers
We introduce SWE-Serve, a benchmark for evaluating agents on production inference engineering tasks. Implementing an inference feature can require coordinating multiple changes across the serving stack, including model support, runtime execution, and public APIs. Existing benchmarks provide limited
📅 09-22📎 arXiv AI Papers
本文提出A2M，一种面向MCP生态的轨迹优化
📅 09-22📎 arXiv AI Papers
Large language model (LLM) agents often handle streams of related tasks, yet standard harnesses repeatedly ask the model to reconstruct the same control decisions inside each task’s context. We study whether task feedback can instead turn recurring control into reusable executable code, while reserv
📅 09-22📎 arXiv AI Papers
Typed decision models are built for settings where model outputs are consumed directly by software. Instead of generating free-form text, they return a decision over a predefined set of options. By construction, every output conforms to the required schema. Yet this guarantee does not tell us whethe
📅 09-22📎 arXiv AI Papers
X-ray is medicine’s most widely used imaging modality, yet remains among its least quantitative. Unlike volumetric modalities like CT or MRI, X-ray collapses 3D anatomy into a 2D projection, causing structures to overlap and anatomical boundaries to be ambiguous, even to experts. As a result, labeli
📅 09-22📎 arXiv AI Papers
Large language models (LLMs) are increasingly applied to the automated repair of C/C++ security vulnerabilities, and compile rate is a commonly reported proxy for progress: whether the generated patch compiles. We argue that compile rate is a scientifically unreliable metric for single-function vuln
📅 09-22📎 arXiv AI Papers
AI tools for digital product design now offer prompt-to-design capabilities, allowing designers and their non-designer colleagues to create prototypes through conversational workflows with large language models (LLMs). While these tools promise time savings, experimental evidence in product design r
📅 09-22📎 arXiv AI Papers
本文揭示近端背景语境会像塞壬之歌般压过远端关键证据，导致模型在长上下文推理中忽视真正相关信息。研究分析该位置偏差的成因与影响，并提出评估或缓解策略，为检索增强生成、长文档问答等系统设计提供警示。
📅 09-22📎 arXiv AI Papers