微软宣布将 xAI 旗下 Grok 模型整合进 Office 三件套，为用户提供 OpenAI 以外模型选择
IT之家 9 月 14 日消息，微软去年开始逐步放弃 Microsoft 365 Copilot 仅使用 OpenAI 模型的策略，先后将 Anthropic 的 Claude 模型引入 Researcher、Copilot Studio …
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共 52 条没自带 Token，就不配上大学了？
这个月生活费是给外卖，还是给大模型？ #欢迎关注爱范儿官方微信公众号：爱范儿（微信号：ifanr），更多精彩内容第一时间为您奉上。
GPT-6 突然全量上线，额度重置再+1，全网实测效果太离谱
GPT-6 Astra 的真正野心，是接管人类的电脑 #欢迎关注爱范儿官方微信公众号：爱范儿（微信号：ifanr），更多精彩内容第一时间为您奉上。
Steering Geometry: Validating Human Value Geometry in LLM Steering Space
As large language models (LLMs) are increasingly deployed in alignment-sensitive contexts, activation steering has emerg…
Ask Before You Optimize: Dynamic Pre-Formulation Clarification for Interactive Optimization
Large language models (LLMs) are increasingly used to formulate optimization models from natural-language problem descri…
When Models Edit Too Much: On the Fidelity of Minimal Code Edits
Large language models (LLMs) are increasingly used to edit existing code, but correctness alone is not enough: useful re…
Select, Compress, Reinvest: A Controlled Study of Visual-Token Allocation in Long-Video MLLMs
Long-video language models cannot look at every frame: an hour sampled once per second is 3,600 images, and a system kee…
Privacy Failure in Split-LLM Training, The Returned Gradient Nullifies the Decoys
We present a systems-security case study of a two-node split-LLM training system whose privacy evaluation passed while l…
What Else Needs Fixing? Exploring Cost-Effective Test-Time Compute for Revision Propagation in Artifacts Generated Through Conversation
Large Language Models (LLMs) often help users generate artifacts through iterative cycles of generation and revision in …
Enoki: Efficient Multi-Level Hallucination Detection
Ensuring factuality remains a critical challenge for deploying LLMs in high-stakes settings. Existing hallucination dete…
Recognition-Refusal Misalignment in LLMs: Why Models Answer Structurally Unanswerable Questions
Large language models often answer structurally unanswerable questions, such as computing cot(-540°) or evaluating (1).s…
HyQuant: Hybrid-Precision Quantization for LLM Attention
Quantization has been widely adopted in LLM training and inference to reduce cost and improve efficiency. However, low-b…
A Three-Layer Caching Architecture for Low-Latency LLM Web Search on Commodity CPU Hardware
AI-powered search products such as ChatGPT search, Google's AI Overviews, and Perplexity provide LLM-synthesized answers…