arXiv:2610.39499v1 Announce Type: new Abstract: The Least Absolute Shrinkage and Selection Operator (Lasso) has been widely employed for feature selection…
Does Scaling Toward AGI Depend on What System-1 Lets System-2 Execute?
arXiv:2610.39497v1 Announce Type: new Abstract: Progress toward artificial general intelligence (AGI) has largely relied on scaling a resource-intensive…
Does Federated Training Degrade Explainability? A Comparative Analysis of Grad-CAM Faithfulness in Centralized vs. Federated Deepfake Detection
arXiv:2610.39483v1 Announce Type: new Abstract: Automated detection has become the essential safeguard against realistic synthetic media, but deploying it…
Verifiable LLM-Guided Focal SMT Solving for Quantified Arrays
arXiv:2610.39435v1 Announce Type: new Abstract: Large language models can often identify useful semantic structure in formal artifacts, but their outputs…
AgentDecept: Benchmarking Deceptive Behavior in Tool-Using LLM Agents under Pressure
arXiv:2610.39377v1 Announce Type: new Abstract: LLM agents increasingly carry out multi-turn tasks across everyday applications, yet users often see only…
Retaining Repair Hypotheses for Cost-Aware Execution
arXiv:2610.39410v1 Announce Type: new Abstract: Several corrections of an executable model can fit the same observations while predicting different…
Timbre: Reliability-aware harmonic consensus for label-free multimodal test-time rexinforcement learning
arXiv:2610.39439v1 Announce Type: new Abstract: Label-free test-time reinforcement learning adapts vision–language models using rewards derived from…
ATLAS-Bench: An Agentic Tool-Use Benchmark for Local Area Search
arXiv:2610.39438v1 Announce Type: new Abstract: Reliable local search is essential for LLM agents to support everyday decisions and longer plans by…
AI News Brief Hourly Summary 2026-10-31 15h : 12 posts
12 posts published in the last hour 13:35What Does “Now” Mean to Your Computer-Use Agent? Stale Screenshots, Page Loads, and Which Check to Run Before a Click 13:35MemSteer: Turning User Histories into Supervision for Agent Memory Optimization 13:34CoToan: Executable Rules…
What Does “Now” Mean to Your Computer-Use Agent? Stale Screenshots, Page Loads, and Which Check to Run Before a Click
arXiv:2610.39282v1 Announce Type: new Abstract: Computer-use agents plan on a screenshot for several seconds and then click at a position on the screen;…
MemSteer: Turning User Histories into Supervision for Agent Memory Optimization
arXiv:2610.39276v1 Announce Type: new Abstract: An effective agent memory system should adapt to a user’s history and task requirements. Human-annotated…
CoToan: Executable Rules and a Representation Contract for Reproducible Game AI Evaluation
arXiv:2610.39353v1 Announce Type: new Abstract: Game AI results are comparable only when different implementations expose the same decision problem. Yet…
Proving and Improving the Platonic Representation Hypothesis with JEPAs
arXiv:2610.39302v1 Announce Type: new Abstract: Whether models trained on different modalities converge to the same representation of the world is central…
Before the Next Rollout: Diagnosing Skill Utility Shifts from Policy Updates
arXiv:2610.39358v1 Announce Type: new Abstract: Skill-evolution methods typically analyze execution trajectories to guide agent skill refinement. However,…
LLM-Assisted Optimization for Simulation-Based Redesign
arXiv:2610.39275v1 Announce Type: new Abstract: Engineering design frequently involves redesigning a prior solution to adapt to changes in context, such…
Where to Learn and How Far to Roll Out: Efficient Adaptive Training for GUI Agents
arXiv:2610.39251v1 Announce Type: new Abstract: Trajectory-level GRPO is a common approach for training multi-step GUI agents, but repeatedly rolling out…
Online Dense Reinforcement Learning with Planning-Grounding Agent for UI Navigation on Live IOS Apps
arXiv:2610.39264v1 Announce Type: new Abstract: While frontier vision-language models demonstrate strong capabilities in user interface (UI) navigation,…
Beyond LLM Wrappers: Context Engineering and the Three-Engine Architecture for Reliable Financial AI
arXiv:2610.39230v1 Announce Type: new Abstract: Financial AI systems must support decision-bearing questions involving payments, collections, cash flow,…