11 posts published in the last hour 00:32ProToMEx: Rapid, Interpretable Explanations via Structured Representations 00:32Emergent Goal-Directed Attention in Large Vision-Language Models 00:32TC-Next: Zero-Shot Multimodal Cyclone Forecasting 00:32When Do Options Help? Policy Necrosis and Redundant Coverage in Option-Critic 00:32CrossModalQA: A Cross-modal…
Author: script
ProToMEx: Rapid, Interpretable Explanations via Structured Representations
arXiv:2609.04265v1 Announce Type: cross Abstract: Existing post-hoc explainers for machine learning classifiers primarily focus on feature attribution,…
Emergent Goal-Directed Attention in Large Vision-Language Models
arXiv:2609.05517v1 Announce Type: cross Abstract: Human observers prioritize visual information according to task goals. Most computational models of…
TC-Next: Zero-Shot Multimodal Cyclone Forecasting
arXiv:2609.02085v1 Announce Type: cross Abstract: We present TropicalCycloneNext (TC-Next), a multimodal deep learning model that forecasts tropical…
When Do Options Help? Policy Necrosis and Redundant Coverage in Option-Critic
arXiv:2609.05508v1 Announce Type: cross Abstract: Option-critic learns options: sub-policies together with a learned rule for when each one hands control…
CrossModalQA: A Cross-modal and Multi-hop Benchmark for Multimodal Retrieval-augmented Generation
arXiv:2609.05518v1 Announce Type: cross Abstract: Despite the strong capabilities of multimodal large language models (MLLMs), their parametric knowledge…
A Data-Driven Framework for Identifying and Prioritizing RPA Opportunities in Healthcare Processes
arXiv:2609.09137v1 Announce Type: new Abstract: Robotic Process Automation (RPA) is widely used to reduce administrative burden in United States…
Procedural Graphs: Self-Evolving Execution Structures for LLM Agents
arXiv:2609.09153v1 Announce Type: new Abstract: Large language models are increasingly deployed as agents that plan over long horizons and act through…
Data-driven rational function neural networks: a new method for generating analytical models of rock physics
arXiv:2109.08813v1 Announce Type: cross Abstract: Seismic wave velocity of underground rock plays important role in detecting internal structure of the…
Neural Symbollic Regression Using Deep Learning and Sparse Modelling
arXiv:2609.01102v1 Announce Type: cross Abstract: Symbolic Regression (SR) seeks to find succinct mathematical expressions that represent the fundamental…