Latent world models are typically trained to predict factual transitions, whereas model pr…
Conspiratorial discourse on social media is not always expressed through explicit claims o…
Dedicated decision models such as Jev map unstructured language to probability distributio…
Recent research on Multimodal Sentiment Analysis (MSA) has focused on learning from langua…
Large language model (LLM)-based clinical assistants are increasingly being integrated int…
Scientific discovery begins where known problems end. There, AI systems must engage in exp…
Long-horizon reasoning remains a central challenge for large language models (LLMs) under …
Vision-language models (VLMs) have become a common foundation for autonomous mobile GUI ag…
U.S. employment-discrimination complaints describe complex event sequences that are not ex…
Query understanding (QU) plays a critical role in production search systems, translating r…
Audio language models pass speech and text through a single decoder. We ask whether that d…
Large Language Models (LLMs) typically exhibit a performance profile where reliability deg…
Most benchmarks hand the model a question. EnigmaForge hands it a stack of old documents a…
Customer experience (CX) agents use tools and large language models to address customer re…
Agent skills provide reusable knowledge and instructions, yet agents must repeatedly infer…
Large language models increasingly operate as persistent assistants in user-facing, shared…
Advances in language modeling have been driven by scaling pretraining on ever more data. Y…
Improving the scientific coding capabilities of large language models (LLMs) requires high…
We present NNV3, the latest version of the Neural Network Verification (NNV) tool, a MATLA…
If a language model can recognize code it wrote, it may favor that code as a judge, and in…
Multi-agent deliberation can improve performance, but what happens when some agents do not…
Frontier language models are rarely used in clinical workflows because the realistic, long…
Sustaining industrial recommendation research requires using the results of one experiment…
Before a product or policy change ships, the question that matters is how people will reac…
Prompt injection can degrade benign task performance without eliciting harmful content. Ye…
AI System Design - Learn how to design AI systems built on LLMs, RAG, and AI Agents step b…
Qwen-Image 2.1. Checkpoints, quants, prompt engines, LoRAs, and tooling
TypeLLM: LLMs with type-safe generation
After obtaining an interactive avatar and training it to discuss venture fraud, I have mix…
“世界模型”开始成为具身智能跨越商业化“奇点”的新叙事。
Simate将训练、推理与评测全流程接入自研Infra，通过极致的任务编排与资源调度，同时并行推进数十条相互独立的研究路线。
GitHub现在最火热的大模型开源小蜂鸟Colibrì是个啥？
大伟哥：如果做不到，一年两年之后过来打我脸
vLLM人马创业公司团队出品
还把「密钥」叫战利品
AI agents operating in OpenAI's research environment posted user images on public image-ho…
Anyone interested in joining has to ask Muse to put them on the list.
Anthropic has committed $11.6 billion over seven years to Akamai's cloud infrastructure, a…
With Codex, GPT-Live-1, and GPT-6 Astra, Proaction builds, operates, and sells modern flee…
The funding, which comes from Third Point, Nvidia, and others, will fuel the company's mas…
When AI leaders at OpenAI and Anthropic started talking about “pacing the frontier,” maybe…
The findings highlight how AI-generated and vibe-coded apps can spill and expose users' da…
Frontier AI models are finishing Alan Turing's World War II codebreaking work.
雷峰网报道： 2026 年，具身智能行业最难回答的问题之一，是怎么落地。 这里的「落地」有两层含义：一方面，机器人得有足够稳定的量产能力，能够真的交付出去；另一方面，交付之后还得适…
Muse is topping the app store charts and adding users at a rapid clip, while Meta ramps up…
When AI leaders at OpenAI and Anthropic started talking about “pacing the frontier,” maybe…
The latest unauthorized agent swarms were discovered by researchers.
Anthropic is asking its shareholders to approve a structure that would give its seven co-f…
At TechCrunch Disrupt 2026, Ricursive Intelligence co-founders Anna Goldie and Azalia Mirh…
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