arXiv:2610.33594v1 Announce Type: new Abstract: Deployed machine learning (ML) models can degrade as the distribution of their input data shifts. Such…
AI News Brief Hourly Summary 2026-10-27 08h : 11 posts
11 posts published in the last hour 06:48FraudSociety: A Generative Agent-Based Society for the Financial-Fraud Economy 06:48LegoSR: A Unified Framework for Self-improving Agent-Guided Scientific Discovery 06:47SkillShift-Bench: Benchmarking Skill Learning under Environment Evolution for Web Agents 06:47The Future Is Finer: Multivariate…
FraudSociety: A Generative Agent-Based Society for the Financial-Fraud Economy
arXiv:2610.33536v1 Announce Type: new Abstract: Financial fraud caused over \$15.9 billion in losses in the United States in 2025, according to the…
LegoSR: A Unified Framework for Self-improving Agent-Guided Scientific Discovery
arXiv:2610.33465v1 Announce Type: new Abstract: Equation discovery solvers often use different data interfaces, equation representations and evaluation…
SkillShift-Bench: Benchmarking Skill Learning under Environment Evolution for Web Agents
arXiv:2610.33528v1 Announce Type: new Abstract: Skill learning enables web agents to reuse prior experience for long-horizon interactive tasks. However,…
The Future Is Finer: Multivariate Time Series Super-Resolution Forecasting
arXiv:2610.33470v1 Announce Type: new Abstract: Web platforms run on multivariate time series, from service telemetry and Web traffic logs to sensor…
Meta Deepens NVIDIA Partnership on Muse AI Models and Infrastructure
NVIDIA and Meta will expand their collaboration on Meta’s Muse family of AI models and broaden planned deployments of NVIDIA computing and networking…
A Comprehensive Framework for All Stages of Large-Model Training: From Data and Tokenization, through Pretraining, to Post-Training Alignment
arXiv:2610.33451v1 Announce Type: new Abstract: The capabilities of large language models (LLMs) and multimodal LLMs (MLLMs) arise from the synergy of the…
Benchmarking System One Models for Time-Series Decision Making: A Case Study of Jev
arXiv:2610.33410v1 Announce Type: new Abstract: Time-series tasks require both accurate predictions and fast decisions. Advances in large models have…
Data Optimization for LLMs: A Survey
arXiv:2610.33405v1 Announce Type: new Abstract: Large language models (LLMs) have attracted great attention in both academic and industrial communities in…
BoardSafety: AI-Ready Data from Manufacturer Documentation for Development-Board Safety
arXiv:2610.33448v1 Announce Type: new Abstract: The development of large language models (LLMs) are capable to assist with hardware experiments. In this…
How To Build A Modern Diffusion Language Model
arXiv:2610.33391v1 Announce Type: new Abstract: The frontier of large language model (LLM) performance has advanced rapidly in recent years, fueled by…
ConMem: Counterfactual Multi-Scenario Probing for Resolving LLM Memory Misalignment
arXiv:2610.33432v1 Announce Type: new Abstract: Long-term memory is critical for autonomous Large Language Model (LLM) agents executing multi-session,…
AI News Brief Hourly Summary 2026-10-27 07h : 13 posts
13 posts published in the last hour 05:45TempShap: When and How Much a Feature Matters in Time-Series Forecasting 05:45Estimation of Propagated Risk in LLM-based Multi-Agent Systems 05:45AgentOrch: How Close Can Global Orchestration Come to Step-by-Step Interaction? 05:44BenchBench-Cloning: Evaluating Molecular Cloning…
TempShap: When and How Much a Feature Matters in Time-Series Forecasting
arXiv:2610.33330v1 Announce Type: new Abstract: Attribution for a time-series forecaster should answer two questions that a feature-level scalar cannot:…
Estimation of Propagated Risk in LLM-based Multi-Agent Systems
arXiv:2610.33282v1 Announce Type: new Abstract: Large Language Model (LLM) based multi-agent systems introduce a distinctive reliability challenge in…
AgentOrch: How Close Can Global Orchestration Come to Step-by-Step Interaction?
arXiv:2610.33375v1 Announce Type: new Abstract: Enterprise workflow agents typically rely on step-by-step interaction (Step-by-Step): the agent executes…
BenchBench-Cloning: Evaluating Molecular Cloning Design and Protocol Development
arXiv:2610.33355v1 Announce Type: new Abstract: Molecular cloning is one of the most routine wet-lab workflows, yet existing evaluations of language…