Who Verifies the Verifier? Co-Evolving Inspectable Graders with Self-Improving Agents

Xing Zhang et al.

#arXiv #cs.AI #cs.CL #cs.LG

Tracing the Thoughts of a Coding Agent Playing ARC-AGI-3: Lessons for Continual Learning

Chen Wu, Josh Passenger, Yin Song

#arXiv #cs.AI

📌 AliO: Output Alignment Matters in Long-Term Time Series Forecasing

Kwangryeol Park, Jaeho Kim, Seulki Lee

#arXiv #cs.AI

GameCommBench: A Unified Benchmark and Type-Aware Evaluation for AI-Generated Game Commentary

Qirui Zheng et al.

#arXiv #cs.AI #cs.CL

Self-Supervised Keyframe Discovery for Horizon-Invariant Behavior Cloning

Prabin Kumar Rath, Omkar Patil, Nakul Gopalan

#arXiv #cs.AI #cs.RO

Latest Computerphile vid features the incredible @[email protected] & centres on the idea of CPU race conditions equated to human situations

And no, I definitely didnt spend a day animating a coffee machine for a throwaway graphic...

youtu.be/W0jPTqIo5oE

#CompSci #ComputerScience #CS

Learning to Plan by Looking Back: Hindsight Hierarchies for Training Reasoning Models

Lars Simon, Holger Eble, Manuel Radons

#arXiv #cs.AI #cs.LG #cs.LO

Q-Shaped Options for Hierarchical Reinforcement Learning

Clarisse Wibault et al.

#arXiv #cs.AI

EvoAlloc: A Self-Evolving Resource Allocation Agent for Efficient Program Evolution

Yanning Dai et al.

#arXiv #cs.AI

Onboard Marine Anomaly Detection on $\Phi$sat-2: From Simulation-Based Development to In-Orbit Demonstration

Clotilde Szywala et al.

#arXiv #cs.AI #cs.CV

Constrained Command-Conditioned Reinforcement Learning with Bandit Strategy Selection in Real-Time Strategy Games

Nick Leenders et al.

#arXiv #cs.AI

AgentEvolver: System-Wide Self-Evolution Through Task Execution

Wentao Zhang et al.

#arXiv #cs.AI

RIT-RAG: Navigating Document Corpora with Retrieval-Induced Trees

Meghanadh Pulivarthi et al.

#arXiv #cs.AI #cs.IR

RL-ARC: Calibrating Large Reasoning Models via Reasoning-guided Uncertainty

Gukhyeon Lee, SangKeun Lee

#arXiv #cs.AI #cs.CL #cs.LG

SynCo: Data Synthesis Co-Training for Self-Evolving LLMs via Multi-Agent Reinforcement Learning

Wei Yang et al.

#arXiv #cs.AI

Plan-and-Patch: Diffusion Language Models for Agentic Planning

Syamantak Kumar et al.

#arXiv #cs.AI #cs.CL #cs.LG

An Explainable Header-Centric Framework for Large-Scale Semantic Table Interpretation and Data Quality Assessment

Marcelo Valentim Silva, Hannes Herrmann, Valerie Maxville

#arXiv #cs.AI #cs.CL

HLTV Prospects ranking: October 2026

syph0 jumps eight places to end the month in second place.

Read more:

#cs #cs2 #hltv

All top-14 teams accept invites to PGL Bucharest 2027

The Romanian event will also feature two teams coming out of a closed qualifier.

Read more:

#cs #cs2 #hltv