arXiv:2609.11236v1 Announce Type: cross Abstract: Large multimodal models tend to hallucinate visual detail fluently, which limits their deployment for…
Category: AI
X-RACE: XAI-assisted Recurrent neural network Attribution for Channel Estimation
arXiv:2609.11211v1 Announce Type: cross Abstract: Deep learning models, notably Long Short-Term Memory (LSTM), have demonstrated promising performance in…
(Whose defaults?) Is artificial intelligence reorienting archaeological methods?
arXiv:2609.11198v1 Announce Type: cross Abstract: Generative AI and the practice of “vibe coding” are changing how archaeologists carry out computational…
Amodei Calls for Slowing the Pace of AI Capability Improvement
Anthropic CEO Dario Amodei published We Must Pace the Frontier on September 12, 2026, an essay arguing that the artificial intelligence industry must…
Exploring Second-Order Pattern Recognition in Speaker Recognition
arXiv:2609.11182v1 Announce Type: cross Abstract: In classical pattern recognition tasks, neural networks are trained to recognise human-defined patterns…
Anthropic CEO Amodei wants AI speed limits before self-improvement outpaces human control
Anthropic CEO Dario Amodei is calling for a controlled slowdown in AI development. He warns that recursive self-improvement could threaten the entire…
Beyond Visual Quality: Evaluating Physical Consistency under Ego-Motion with EgoGenEval
arXiv:2609.11172v1 Announce Type: cross Abstract: Recent visual generators produce high-fidelity images yet often violate physical consistency under…
Google Research Releases ToolGrad: Answer-First Framework Hits 99.8% Pass Rate for Tool-Use Data Generation
Google Research has released ToolGrad, an ACL 2026 Findings framework that inverts tool-use dataset generation: it builds a verified API chain first, then…
terms.txt: A Consent and Compensation Protocol for Agentic Web Access
arXiv:2609.11152v1 Announce Type: cross Abstract: The open web ran on an unwritten bargain: sites admitted crawlers, and search engines sent visitors…
Beyond Benchmarks: Using VLMs to Reveal Systematic Classification Failures Under Real World Conditions
arXiv:2609.11126v1 Announce Type: cross Abstract: Verification and validation (V&V) of classification models is crucial to enable a wide range of sensor…