Between an idea and a physical test, hardware teams repeat the same chain. Someone sketches a change, someone turns it into CAD, the team checks the…
ARCANA: A Benchmark for Abstraction and Analogical Reasoning
arXiv:2610.29271v1 Announce Type: new Abstract: Analogical reasoning is widely considered a fundamental component of human intelligence. Few benchmarks…
[AINews] Black October
the Cyber onslaught continues.
Same Probabilities, Different Advice: Gain-Loss Framing Effects in High-Stakes LLM Decision Support
arXiv:2610.29294v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used to support consequential decisions, yet their…
Wayve, Stellantis, and NVIDIA Join French Government on AV Deployment
Wayve, Stellantis, and NVIDIA announced a collaboration with the French Government on October 23, 2026, focused on advancing the deployment of autonomous…
LLM-Based Exogenous World Modeling for Dynamic Scheduling
arXiv:2610.29308v1 Announce Type: new Abstract: Dynamic scheduling requires dispatching online arrivals while anticipating future jobs, as poor decisions…
Steering Black-Box Large Language Model Agents with Pitfall Anticipation World Model
arXiv:2610.29139v1 Announce Type: new Abstract: Frontier black-box Large Language Model (LLM) agents are proficient at long-horizon reasoning and precise…
LaVGuard: Selective Decoding for Contextual Value Drift
arXiv:2610.29135v1 Announce Type: new Abstract: A content-safe response can still promote priorities that conflict with its task: an assistant may demand…
TeachBack: Learning to Teach via Bidirectional Preference Optimization for On-Policy Self-Distillation
arXiv:2610.29167v1 Announce Type: new Abstract: On-policy self-distillation (OPSD) enables a language model to learn from a Teacher instantiated from the…
NormTune: Norm-Guided Parameter-Efficient Fine-Tuning for Reasoning-Intensive Tasks
arXiv:2610.29134v1 Announce Type: new Abstract: Full fine-tuning has achieved remarkable success on reasoning-intensive tasks, but it often requires…
OpenAI lowers valuation target, raises up to $30 billion
OpenAI is closing in on a new funding round of up to $30 billion but has lowered its valuation target to get there. The article OpenAI lowers valuation…
When Multiple Choices Are Correct: Asymmetric Probability Allocation in Jev and Other Decision Models
arXiv:2610.29217v1 Announce Type: new Abstract: Decision models return normalized probability distributions over candidate choices, which downstream…
Recursive Self-Improvement on a Budget: Scoring Code Edits Before They Run
arXiv:2610.29121v1 Announce Type: new Abstract: A coding agent that rewrites its own scaffold has to choose which proposed edit to expand before that edit…
Context-Augmented, Session-Calibrated Blood Pressure Tracking from Photoplethysmography
arXiv:2610.29091v1 Announce Type: new Abstract: Objective.To distinguish the contributions of acquisition context and photoplethysmography (PPG) to…
Same Answer, Different Reasons: Trace-Level Divergence in Multilingual Large Language Models
arXiv:2610.29092v1 Announce Type: new Abstract: Multilingual large language models are increasingly deployed in settings where visible reasoning traces…
StochIKM: Automated High-Fidelity Reconstruction of Individual Patient Data from Published Kaplan-Meier Curves
arXiv:2610.29122v2 Announce Type: new Abstract: Individual patient data are the gold standard for secondary analysis of time-to-event evidence, but they…
TinyFish Breaks Down Agentic Search Architecture for Production AI Agents
TinyFish published two engineering research articles on agentic search. One defines a 7-phase production architecture with evidence contracts and bounded…
GRAM: Group-wise Rank-Aware Model Merging via Subspace Alignment
arXiv:2610.29110v1 Announce Type: new Abstract: Merging different models into a single model is highly desirable for multi-task deployment, particularly…