arXiv:2609.36944v1 Announce Type: new Abstract: Group-relative policy optimization relies on reward-derived advantages and sequence-level likelihood…
Cerebras Systems’ Andrew Feldman on whether AI can keep scaling at TechCrunch Disrupt 2026
At TechCrunch Disrupt 2026, Cerebras Systems CEO and co-founder Andrew Feldman will explore the growing demand for compute, energy, and infrastructure,…
CADOC: Cache-Aware Dynamic Object Context for Long-Horizon Agents
arXiv:2609.37012v1 Announce Type: new Abstract: For a long-horizon agent, context is the bottleneck: the history is resent with every request, the window…
Did AI Just Solve One of Mathematics’ Biggest Problems?
OpenAI’s agents reached a proposed solution in 88 hours. But the human research that came before, and the controversy that followed, raise a harder…
CF-LoRA: Decoupled Factor Aggregation and Adaptation-Aware Client Clustering for Federated LoRA Fine-Tuning
arXiv:2609.36986v1 Announce Type: new Abstract: Federated LoRA fine-tuning enables parameter-efficient adaptation of pre-trained models without sharing…
Restate lands $20M as the need for durable infrastructure increases with AI agents
Founded by Apache Flink veterans, the startup is taking on workflow heavyweight Temporal.
ImbalancE: Inference-Time Latent Search Against Degree Imbalance in Link Prediction
arXiv:2609.36996v1 Announce Type: new Abstract: Knowledge Graph Embedding models have been extensively used to learn representations of entities and…
3 days left to exhibit: Turn visibility into your next opportunity at TechCrunch Disrupt 2026
Three days left to exhibit at TechCrunch Disrupt 2026. Book by October 2 at 11:59 p.m. PT to showcase your startup to 10,000+ founders, investors,…
REALHOP: Rethinking Multi-Hop Reasoning Evaluation via Behavioral Auditing
arXiv:2609.36984v1 Announce Type: new Abstract: Complex questions often require multi-hop reasoning that connects facts distributed across sources or…
Neuro-Symbolic Computer Use: Learning Reusable Policies for Reliable and Efficient Execution
arXiv:2609.36927v1 Announce Type: new Abstract: Many computer tasks recur: the same workflow runs many times, with new inputs and from different starting…
VLALight: A Vision-Language-Action Model for Traffic Signal Control
arXiv:2609.36934v1 Announce Type: new Abstract: Traffic signal control (TSC) is essential for improving urban mobility and reducing congestion. Although…
CoEM: Empowering Long-Context Reasoning with Commit-on-Evidence Memory
arXiv:2609.36935v1 Announce Type: new Abstract: Long-context reasoning is essential for complex and long-horizon tasks, yet the performance of large…
Learn from the Gap: Differential-Aware Advantage Pruning with Adaptive Rollout Sampling for GRPO
arXiv:2609.36932v1 Announce Type: new Abstract: Recently, Group Relative Policy Optimization (GRPO) and its variants have been developed for policy…
SCA: Spatial Credit Assignment for Reinforcement Learning of GUI Agents
arXiv:2609.36939v1 Announce Type: new Abstract: GUI agents automate tasks on digital devices by grounding language instructions in visual interfaces.…
AI News Brief Hourly Summary 2026-09-30 16h : 11 posts
11 posts published in the last hour 13:33STAR-GRPO: Canonical Anchoring and Reliability-First Advantages against Representation-Dependent Reward Hacking 13:33Beyond Sub-Gaussian Detector Scores: Robust Weighted Profile-Loss Change Point Detection for Human-LLM Text Segmentation 13:33HorizonFlow: Variable-Length Planning for Offline Goal-Conditioned RL 13:33PrecogUI: Proactive…
STAR-GRPO: Canonical Anchoring and Reliability-First Advantages against Representation-Dependent Reward Hacking
arXiv:2609.36900v1 Announce Type: new Abstract: Reward hacking occurs when policy optimization exploits a brittle reward interface or an overly permissive…
Beyond Sub-Gaussian Detector Scores: Robust Weighted Profile-Loss Change Point Detection for Human-LLM Text Segmentation
arXiv:2609.36888v1 Announce Type: new Abstract: Mixed human-LLM documents require locating authorship transitions from detector scores whose reliability…
HorizonFlow: Variable-Length Planning for Offline Goal-Conditioned RL
arXiv:2609.36896v1 Announce Type: new Abstract: Recent advances in generative planning have made trajectory inpainting a promising approach to offline…
