Direct Pass@$k$ Optimization for Thought Pruning: Balancing Quality and Diversity in Test-Time Reasoning
Test-time scaling has emerged as a key inference strategy for reasoning models, where a mo…
Test-time scaling has emerged as a key inference strategy for reasoning models, where a mo…
Tool-using language model agents rely on environmental facts to decide whether an action i…
Many recent open-weight language models use n-gram embedding tables to improve performance…
Multilingual pipelines such as FineWeb2 apply one recipe across a thousand languages, leav…
While monolingual language model (LM) surprisal is widely established as a predictor of re…
Purpose: To describe an evidence-aware retrieval evaluation protocol for a clinical retrie…
Control evaluations measure whether safeguards can prevent an AI model from causing undesi…
Accuracy on medical examinations is common evidence offered for the clinical use of langua…
Research on sycophancy asks whether large language models (LLMs) bend towards what their u…
Masked diffusion language models generate tokens in parallel, but their efficiency depends…
Industrial organizations hold operational knowledge in structured records, such as telemet…
Hidden future-token leakage can create false architectural gains: an autoregressive model …
Individual preferences often become visible only after deployment, when a user accepts one…
Large language models (LLMs) are increasingly used to generate domain-specific commercial …
Coordinating two players in a cooking task requires a vision-language agent to track chang…
Recommender systems typically serve one user at a time. However, in households, members sh…
Reusable skills allow large language model agents to package task-specific procedures, too…
When a user says "Keep it short", how short should the LLM's response be? More generally, …
Automated agentic-system design is typically evaluated on static task suites with immediat…
World action models increasingly rely on pretrained video models assumed to capture physic…
This paper studies the problem of safe tool execution for large language model (LLM) agent…
Autonomous research agents are increasingly used to automate large portions of scientific …
The rise of Agentic AI systems has changed the landscape of artificial intelligence by ena…
Tree-based speculative decoding accelerates large language model inference by verifying mu…
GUI agents aim to automate complex user tasks by interacting with mobile interfaces, but e…
Unofficial Enhanced Edition of the Verity Minecraft mod. Upgraded AI, new scenarios, multi…
DeepSeek 蓝色大肥鱼消除计划:识别并清理 B 站(Bilibili)评论区中由 DeepSeek 大模型、AI Agent 驱动的机器人账号(大肥鱼)的 Chrome / …
llama.cpp fork that abliterates at inference
Autonomous desktop intelligence with MCU Ultron persona, mood-aware workspace orchestratio…
10月23日,iRTE2026实时智能大会在北京举行。声网创始人兼 CEO 赵斌在主论坛发表题为《对话 AGI:实时互动的下一章》的演讲,回顾了过去一年实时互动、对话式 AI 与底…
OpenAI will cut frontier models off from the internet weeks after one of its engineers sai…
Learn how OpenAI scaled Habitat with reliable multi-tenancy, global caching, and Azure Cos…
<img class="rich_pages wxw-img" data-aistatus="1" data-croporisrc="https://mmbiz.qpic.cn/s…
10月23日,在盖世汽车主办的第八届金辑奖颁奖盛典上,HUAWEI XSCENE 华为乾崑车载激光投影凭借在智能座舱视听领域的技术突破与规模化商用落地,荣膺“金辑奖·2026最佳技…
深耕制造业一线十余年,海康机器人以AI为全业务基座,业务覆盖机器视觉、移动机器人、关节机器人与具身机器人,通过1000余个细分应用场景的落地,沉淀了扎实的技术能力与丰富的场景经验。…
OpenAI explains how we strengthened containment for frontier model training and evaluation…

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