· ai
Google explains Gemini in Chrome’s agentic browsing security, protections
With Gemini in Chrome and the upcoming availability of agentic capabilities, Google is detailing how the browser will protect against threats. more…...
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- · ai
[Paper] Provable Long-Range Benefits of Next-Token Prediction
Why do modern language models, trained to do well on next-word prediction, appear to generate coherent documents and capture long-range structure? Here we show ...
- · ai
[Paper] Understanding Privacy Risks in Code Models Through Training Dynamics: A Causal Approach
Large language models for code (LLM4Code) have greatly improved developer productivity but also raise privacy concerns due to their reliance on open-source repo...
- · ai
[Paper] Auditing Games for Sandbagging
Future AI systems could conceal their capabilities ('sandbagging') during evaluations, potentially misleading developers and auditors. We stress-tested sandbagg...
- · ai
[Paper] LUNA: LUT-Based Neural Architecture for Fast and Low-Cost Qubit Readout
Qubit readout is a critical operation in quantum computing systems, which maps the analog response of qubits into discrete classical states. Deep neural network...
- · 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...
- · 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...
- · ai
[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...
- · ai
[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...
- · ai
[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...
- · ai
[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...
- · ai
[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, ...