Nvidia is negotiating an investment in Perplexity at a valuation above $30 billion, more than 50 percent higher than its last funding round, The…
Category: AI
Coverage-Driven Verification for Safety-by-Design in AI-Based Collision Avoidance Systems
arXiv:2608.20864v1 Announce Type: new Abstract: Artificial Intelligence (AI) offers significant potential for future aviation systems; however, its…
SPARC: Single-Pass Scaling for Motion Forecasting with Conformal Bayesian Last Layers
arXiv:2608.20802v1 Announce Type: new Abstract: Human motion forecasters are increasingly accurate and fast, but reliable deployment requires uncertainty…
Prediction certification cannot replace explanation certification: a competence envelope for trustworthy AI under compound stress
arXiv:2608.20825v1 Announce Type: new Abstract: Artificial intelligence systems increasingly make consequential judgments – which patient is…
Dynamic Context Scheduling: Learning Beyond the Static Universe
arXiv:2608.20799v1 Announce Type: new Abstract: We study dynamic context scheduling as a training instrument for contextual re- inforcement learning.…
Neuro-Geospatial Modelling of EEG Affective States Using Literature-Informed Environmental Context
arXiv:2608.20807v1 Announce Type: new Abstract: Environmental exposures such as air pollution and greenness have been associated with affective and…
Certified Multi-Turn Robustness for LLM Safety via Compositional Bounds and Safety Persistence
arXiv:2608.20820v1 Announce Type: new Abstract: Large language models (LLMs) are vulnerable to multi-turn jailbreak attacks that progressively manipulate…
CAS: Conformalized Agentic Search via Adaptive Retrieval and Policy Weighting
arXiv:2608.20771v1 Announce Type: new Abstract: Search Agents face a severe reliability crisis during reinforcement learning (RL) fine-tuning. Heuristic…
Automated Trajectory Evaluation for Mobile Agents via Step-Level Consequence Reasoning and Aggregation
arXiv:2608.20797v1 Announce Type: new Abstract: Evaluating language-guided mobile agents has recently shifted from rule-based to model-based approaches to…
Knowing but Not Saying: Preventing Factual Access Failures in LLM SFT via Recall-Anchored Distillation
arXiv:2608.20794v1 Announce Type: new Abstract: Supervised fine-tuning (SFT) can degrade factual behavior outside the target domain. This degradation is…