New arXiv paper surveys multimodal models that predict future world states from visual inputs, proposing a four-level capability hierarchy and flagging higher-level multi-step forecasting as underexplored.

#AI #ComputerVision #GenerativeAI #ArXiv
https://arxiv.org/abs/2610.20731

Terminal-RSI: Recursive Self-Improving Terminal Agents via Recursive Self-Rewrite and Policy-Refine

Junyao Yang et al.

#arXiv #cs.AI

From Research Goals to Scientific Closure: Evaluating Agents Through Evidence-Supported Physics Research

Yijia Mao et al.

#arXiv #cs.AI

AgentPerturb: Evaluating LLM Agent Robustness under Controlled Interaction Perturbations

Yuanjian Xu et al.

#arXiv #cs.AI

Learning Intrinsic Dynamics in Latent World Models

Jiamin Shi et al.

#arXiv #cs.AI

LoopAhead: Speculating Ahead for Faster Decoding in Looped Language Models

Zixuan Liu et al.

#arXiv #cs.AI #cs.LG

Tool-Augmented Large Language Models for Reliable Medical Calculation from Patient Notes

Yang Zhong et al.

#arXiv #cs.AI

Learning to Reason with Selective Internal Feedback

Xun Lu et al.

#arXiv #cs.AI

📌 Hierarchical Graph Convolutional Network Approach for Detecting Low-Quality Documents

Jaeyoung Lee, Joonwon Jang, Misuk Kim

#arXiv #cs.AI

ARGUS: An Agenda-Driven Framework for Reliable User Simulation

Hang Zheng et al.

#arXiv #cs.AI

The Density of Thought: Predicting and Steering Reasoning in Large Language Models

Tanush Kalhan et al.

#arXiv #cs.AI

Does Latent Chain-of-Thought Actually Reason? A Single, Unifying Taxonomy for Latent Reasoning

Jingjie Qiu et al.

#arXiv #cs.AI

EvolvingBrain: An Adaptive Skill System for Multi-modal Agents Self-Evolution in Open Worlds

Runxuan Liu et al.

#arXiv #cs.AI

Value-Informed Schedule Trimming for Accelerated Sequential Monte Carlo Guidance in Discrete Diffusion

Jaehyeon Kim et al.

#arXiv #cs.AI #cs.LG

New arXiv paper argues open-world AI needs three things: inference-time learning, rich representations beyond iid generalization, and predictive disentanglement of inputs and outputs. It also predicts that…

#OpenWorldAI #AIResearch #MachineLearning #ArXiv
https://arxiv.org/abs/2610.20782

Terminal-RSI: Recursive Self-Improving Terminal Agents via Recursive Self-Rewrite and Policy-Refine

Junyao Yang et al.

#arXiv #cs.AI

From Research Goals to Scientific Closure: Evaluating Agents Through Evidence-Supported Physics Research

Yijia Mao et al.

#arXiv #cs.AI

AgentPerturb: Evaluating LLM Agent Robustness under Controlled Interaction Perturbations

Yuanjian Xu et al.

#arXiv #cs.AI

Learning Intrinsic Dynamics in Latent World Models

Jiamin Shi et al.

#arXiv #cs.AI

LoopAhead: Speculating Ahead for Faster Decoding in Looped Language Models

Zixuan Liu et al.

#arXiv #cs.AI #cs.LG