· ai
[Paper] Lang3D-XL: Language Embedded 3D Gaussians for Large-scale Scenes
Embedding a language field in a 3D representation enables richer semantic understanding of spatial environments by linking geometry with descriptive meaning. Th...
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- · ai
[Paper] Multi-view Pyramid Transformer: Look Coarser to See Broader
We propose Multi-view Pyramid Transformer (MVP), a scalable multi-view transformer architecture that directly reconstructs large 3D scenes from tens to hundreds...
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[Paper] Group Representational Position Encoding
We present GRAPE (Group RepresentAtional Position Encoding), a unified framework for positional encoding based on group actions. GRAPE brings together two famil...
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[Paper] OneStory: Coherent Multi-Shot Video Generation with Adaptive Memory
Storytelling in real-world videos often unfolds through multiple shots -- discontinuous yet semantically connected clips that together convey a coherent narrati...
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[Paper] Collaborative Causal Sensemaking: Closing the Complementarity Gap in Human-AI Decision Support
LLM-based agents are rapidly being plugged into expert decision-support, yet in messy, high-stakes settings they rarely make the team smarter: human-AI teams of...
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[Paper] Large Causal Models from Large Language Models
We introduce a new paradigm for building large causal models (LCMs) that exploits the enormous potential latent in today's large language models (LLMs). We desc...
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[Paper] ReasonBENCH: Benchmarking the (In)Stability of LLM Reasoning
Large language models (LLMs) are increasingly deployed in settings where reasoning, such as multi-step problem solving and chain-of-thought, is essential. Yet, ...
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The Machine Learning “Advent Calendar” Day 8: Isolation Forest in Excel
Isolation Forest may look technical, but its idea is simple: isolate points using random splits. If a point is isolated quickly, it is an anomaly; if it takes m...
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The new identity of a developer: What changes and what doesn’t in the AI era
For the past four years, the conversation about AI and software development has moved faster than most people can track. Every week, there is a new tool, a new...
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Research commissioned by OpenAI and Anthropic claims that workers are more efficient when using AI — Up to one hour saved on average, as companies make bid to maintain enterprise AI spending
OpenAI and Anthropic claim in a pair of reports released today and earlier in the month that the use of enterprise AI tools increase productivity and corporate...
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[Paper] On the Interplay of Pre-Training, Mid-Training, and RL on Reasoning Language Models
Recent reinforcement learning (RL) techniques have yielded impressive reasoning improvements in language models, yet it remains unclear whether post-training tr...
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Google details security measures for Chrome’s agentic features
Google details how it is enacting security guardrails before rolling out agentic capabilities on Chrome....