arXiv:2608.08621v1 Announce Type: new Abstract: Running a business is a challenging form of intelligent work. Operators must infer opportunities from…
Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement
Radiology AI is evolving beyond report generation. CARE-X explores a unified approach that combines flexible reasoning, calibrated predictions, and…
SDDBMs: Soft Denoising Diffusion Bridge Models
arXiv:2608.08594v1 Announce Type: new Abstract: Diffusion bridge models leverage Doob’s \(h\)-transform to construct stochastic transports between…
AI News Brief Hourly Summary 2026-08-11 18h : 14 posts
14 posts were published in the last hour 15:33 : Discovering Diverse Planning Policies for Multimodal Embodied Agents with Quality-Diversity Optimization 15:32 : Deep probabilistic logic programming for diagnostic reasoning from incomplete information: A case study in stroke detection 15:32…
Discovering Diverse Planning Policies for Multimodal Embodied Agents with Quality-Diversity Optimization
arXiv:2608.08523v1 Announce Type: new Abstract: Multimodal embodied agents are increasingly required to solve long-horizon tasks by integrating visual…
Deep probabilistic logic programming for diagnostic reasoning from incomplete information: A case study in stroke detection
arXiv:2608.08561v1 Announce Type: new Abstract: In medical applications, raw data is frequently associated with significant privacy concerns, lending…
FailForge: Distilling Procedural Competence from Persistent Failures into Code Agents
arXiv:2608.08570v1 Announce Type: new Abstract: Rejection sampling fine-tuning (RFT) is widely used to train code agents by generating trajectories on…
Building and Validating a Quantitative Trading Strategy with OctoBot, Walk-Forward Backtesting, Parameter Optimization, and Interactive Analysis
In this tutorial, we build a complete quantitative backtesting workflow with OctoBot and OctoBot-Script while keeping the environment isolated from…
Reproducing and Stress-Testing Two Approaches to LLM Reasoning Reliability: Test-Time Probability Aggregation and Logic-Representation Editing
arXiv:2608.08514v1 Announce Type: new Abstract: We independently reproduce two recent methods for making large language model (LLM) reasoning more…
Nvidia’s open-weight Nemotron 3.5 Lightning prioritizes speed over maximum intelligence
Nvidia’s Nemotron 3.5 Lightning is an open-weights model with just 3.6 billion active parameters that matches OpenAI’s gpt-oss-120b on the Intelligence…
VoxZip: Semantic-Anchored Temporal KV Cache Compression for Long-Context Audio Inference
arXiv:2608.08569v1 Announce Type: new Abstract: Recent advancements in Speech Large Language Models have demonstrated remarkable capabilities in…
Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understanding
arXiv:2608.08512v1 Announce Type: new Abstract: Evolving documents, such as laws, tax codes, and software documentation, are amended, replaced, and…
TrustRoboReward: Preference-Ordered Isotonic Score Editing for Multi-Paradigm Robot Reward Models
arXiv:2608.08491v1 Announce Type: new Abstract: Reward models are a bottleneck for reinforcement learning in embodied AI. Long-horizon robotic…
MathShikkha: A Controlled Study of Answer-Only and Chain-of-Thought Supervision for Bangla Mathematical Reasoning in Small Language Models
arXiv:2608.08503v1 Announce Type: new Abstract: Mathematical reasoning remains challenging in low-resource languages such as Bangla. We study whether…
Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs
arXiv:2608.08506v1 Announce Type: new Abstract: Training-free low-rank compression frameworks have been gaining prominence for LLM compression given their…
Moshe Sambol, VP of Customer Solutions at Lightrun – Interview Series
Moshe Sambol, VP of Customer Solutions at Lightrun – brings more than two decades of experience spanning software engineering, architecture, cloud…
HoloAegis: Frozen Representation, Topological Inference: Minimally Parametric Safety Manifolds for Zero-Shot LLM Guardrails
arXiv:2608.08485v1 Announce Type: new Abstract: Current LLM safety guardrails face a fundamental tension: fine-tuning distorts pre-trained representations…
AI News Brief Hourly Summary 2026-08-11 17h : 14 posts
14 posts were published in the last hour 14:33 : LLM within MCP Matters: Measuring Inefficient Resource Utilization Driven by LLMs 14:33 : What Keeps Agent Skills from Being Reusable? Evidence from 138K SKILL.md Files 14:33 : Aero Realtime: Fully…