arXiv:2608.18008v1 Announce Type: cross Abstract: Combining large language models with reinforcement learning is increasingly explored, yet the…
Category: AI
Stripe declares we’re living in the singularity and uses it as a reason not to IPO
In a letter to investors, Stripe declares January 1 the “beginning of the singularity” and uses that as a reason to stay private. Not that it needs one:…
From Corpora to Co-Evolving Capabilities: Capability-Centric Data Design for Generalist Image Generation
arXiv:2608.18076v1 Announce Type: cross Abstract: Large-scale image generation has benefited from advances in data scale, quality, rebalancing, and…
Dual Co-Train: Cross-Dataset Ultrasound Tongue Segmentation Under Extreme Data Scarcity
arXiv:2608.17983v1 Announce Type: cross Abstract: Ultrasound tongue contour segmentation remains challenging under cross-dataset domain shift, where…
Against Political Polarization: A Unified Framework for Tracing Evolving Political Ideologies on Social Media
arXiv:2608.17987v1 Announce Type: cross Abstract: The rapid growth of social media has greatly influenced political discourse, highlighting the need to…
An Omitted Mode Is a Rare Rule: The Sampling-Verification Danger Law in Continuous Code World Models
arXiv:2608.17956v1 Announce Type: cross Abstract: In the Code World Model paradigm an LLM synthesizes an executable world model that a classical planner…
We still don’t know how people are really using AI
AI companies like Anthropic and OpenAI regularly publish reports on how people are using products like Claude and ChatGPT, but they only release the data…
SIGMA: SHAP-Guided Implicit-Trajectory Generation for Metadata-Free LLM-Based AutoFE
arXiv:2608.17948v1 Announce Type: cross Abstract: Recent research has leveraged Large Language Models (LLMs) to enhance Automated Feature Engineering…
Reading Zhipu’s GLM-5.3 results past the headline number
Zhipu’s release note for GLM-5.3 contains a sentence that did not make it into most of the coverage. Describing its own cybersecurity results, the Beijing…
Too Sure to Be Safe: Model Calibration for Reliable Log Anomaly Detection
arXiv:2608.17965v1 Announce Type: cross Abstract: Online log anomaly detection is critical for maintaining the reliability of large-scale computing…