arXiv:2609.27297v1 Announce Type: new Abstract: Accumulated scientific knowledge advances inquiry when prior findings help researchers choose new…
Author: script
StateComp: Learning When to Compress History in Long Horizon Agents
arXiv:2609.27298v1 Announce Type: new Abstract: Long-horizon agents continuously accumulate interaction history during task execution, yet the importance…
Memory Control Signals Emerge Before Action in Long Horizon Agents
arXiv:2609.27286v1 Announce Type: new Abstract: Long horizon language model agents continuously accumulate interaction history, increasing computational…
PotARCin: Multi-Dimensional Evaluation of Skill Acquisition in Abstract Reasoning Tasks
arXiv:2609.27288v1 Announce Type: new Abstract: The Abstraction and Reasoning Corpus (ARC) has become a prominent benchmark for evaluating general…
Sparse-Observation Atmospheric Thermal Forecasting with Physics-Informed Neural Networks for Climate-Aware Digital Twins
arXiv:2609.27290v1 Announce Type: new Abstract: Short-horizon forecasts of atmospheric temperature are needed to support climate-aware digital-twin…
EnSIMem: Entity-Structured Indexing for Long-Term Agent Memory
arXiv:2609.27279v1 Announce Type: new Abstract: An agent that interacts with users over long periods must recall facts, preferences, events, and changes…
Hunyuan-A13B Technical Report
arXiv:2609.27284v1 Announce Type: new Abstract: We present Hunyuan-A13B, an open-source large language model based on a Mixture-of-Experts architecture.…
AI News Brief Hourly Summary 2026-09-24 08h : 12 posts
12 posts published in the last hour 05:32TimeEvo: Failure-Driven Self-Evolution of a Time Series Agent 05:32Enhancing Small Language Models for Power Outage Report Generation via Minimum Risk Training 05:32CAVEAT: Towards Robust Computer-Use Agents in Incentive-Misaligned Environments 05:32DRSR: Learning Set-Level Deletion…
TimeEvo: Failure-Driven Self-Evolution of a Time Series Agent
arXiv:2609.27277v1 Announce Type: new Abstract: Time series agents answer analytical questions by calling external tools, and which tools they carry is…
Enhancing Small Language Models for Power Outage Report Generation via Minimum Risk Training
arXiv:2609.27197v1 Announce Type: new Abstract: Minimum Risk Training (MRT) enables neural machine translation models to directly optimize sequence-level…