Reasoning Core: Designing Broad Procedural Data for Completion-Supervised Reasoning Training· 推理核心:设计广泛过程数据以完成监督推理训练
Procedural generators produce useful verifiable reasoning problems at scale, but have rece…
Procedural generators produce useful verifiable reasoning problems at scale, but have rece…
Long-horizon reasoning requires an agentic runtime that can persist when evidence supports…
Context lengths of language models (LMs) have dramatically increased, driven by the demand…
Long-horizon reasoning in recent LLMs demands that the model switch between distinct skill…
Spoken Language Understanding (SLU) is the core component of task-oriented dialogue system…
Long context reasoning in large language models (LLMs) is usually constrained by the fact …
AI-supported care planning can help clinicians, patients, caregivers, and care teams coord…
Long-horizon search agents must make multiple sequential actions (steps) to search, retrie…
Reasoning about necessity and possibility depends on assumptions about accessibility betwe…
Agents for long term reasoning require a memory that can be efficiently and effectively up…
Language models differ in how safely they behave and these differences are measured by saf…
Football score forecasting combines a strong statistical core with a difficult contextual …
Short-term load forecasting (STLF) play a vital role in the electric power industry. It se…
Interactive video world models are essential for long-horizon planning and exploration, ye…
Defensive driving scores are useful only when they preserve distinctions between policies …
Memory is essential as language agents move from isolated tasks to long-horizon, stateful …
Self-distillation (SD) has emerged as a compute-efficient alternative to reinforcement lea…
The ability to accurately assess and anticipate risks in safety-critical scenarios is cruc…
Large Reasoning Models (LRMs) excel on complex tasks through long chain-of-thought (CoT) r…
Autonomous research agents can generate hypotheses, execute experiments, and draft manuscr…
Chain-of-thought (CoT) monitoring is increasingly treated as an important safety layer for…
Multimodal large language models increasingly reason over screenshots and documents where …
Agent evaluations tell us that a model picked the wrong tool, but rarely why. We introduce…
Operational hazard analysis of aviation system operations must consider interactions among…
Cooperative multi-agent reinforcement learning often adds social terms to individual rewar…
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Discover how HSP GRUPPE uses ChatGPT Enterprise to boost productivity, improve work qualit…
AI语音“听、说、创”一站式满足
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AI卷向运动赛道,Keep的新答卷能否跑通?
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Chat优化版
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此后模型、算力、数据中心都在合作范围内
Additional details about OpenAI's mysterious new AI device make it sound like a pricey sma…
OpenAI said that ChatGPT free and Go users are also getting a new think button for complex…
This generation of 20-somethings is so disillusioned with swipe-based dating apps that the…
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<img data-src="https://static.leiphone.com/uploads/new/images/20260806/6a748e958d08b.jpg" …
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8月6日,黎曼动力宣布与光轮智能、诺亦腾机器人(Noitom Robotics)达成战略合作。围绕 Riemann-1.0 具身世界动作模型与 Matrix-Game 3.5 交互…
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ChatGPT introduces improved GPT-5.6 Sol with better accuracy and consistency, plus expande…
OpenAI and the APA are launching a three-year partnership to develop guidance, resources, …
New OpenAI Signals data shows how people use ChatGPT worldwide, with country-level insight…

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