Anthropic published its second company-wide Risk Report on August 14, 2026, and the headline change is a one-word upgrade in the wrong direction: the…
Tag: AI
GeoCache: Training-Free Acceleration of Multi-View Texture Diffusion via Geometric Delta Transport
arXiv:2608.13255v1 Announce Type: cross Abstract: Geometry-conditioned multi-view diffusion enables high-quality 3D texture generation, but its repeated…
OpenAI Tells Investors Enterprise Revenue Has Overtaken Its ChatGPT Consumer Business
OpenAI’s finance chief told shareholders on August 14, 2026 that the company’s enterprise operation now generates more revenue than its ChatGPT-led…
Self-Referential Induction Increases Response Instability Relative to Unresolvable and Verifiable Questions in Large Language Models
arXiv:2608.13258v1 Announce Type: cross Abstract: Self-referential prompting has been shown to reliably induce large language models to produce…
Anthropic Explains the Mechanics of Claude’s Text Watermark
Anthropic published a detailed account on August 14, 2026 of how the text watermark in future Claude models works, identifying it as a version of the…
CoverPrune: Coverage-Driven Token Pruning for 3D VLMs via Optimal Transport
arXiv:2608.13226v1 Announce Type: cross Abstract: While 3D Vision-Language Models (3D VLMs) have demonstrated remarkable spatial reasoning capabilities,…
Better Decomposition, Free Aggregation: A Synthesizer-Folding Framework for Multilingual Multi-Hop Question Answering
arXiv:2608.13160v1 Announce Type: cross Abstract: Multilingual retrieval-augmented generation (mRAG) equips large language models with access to globally…
TRAPSBench: Vision-Language Models Encode but Fail to Express Epistemic Restraint
arXiv:2608.13167v1 Announce Type: cross Abstract: When visual evidence is occluded or chaotic, models should abstain. In this paper, we show that…
GEM: A Generative Embedding Model Bridging Reasoning and Retrieval
arXiv:2608.13200v1 Announce Type: cross Abstract: Modern LLMs excel at reasoning and instruction following, enabling users to express complex and diverse…
NARU: A Benchmark for NARrative Evolution and Cultural Nuance Understanding in Japanese Extreme Long Video
arXiv:2608.13210v1 Announce Type: cross Abstract: Long-form video understanding encompasses tasks that go beyond retrieving isolated events, including…