Finite Automata Extraction: Low-data World Model Learning as Programs from Gameplay Video
arXiv:2508.11836v1 Announce Type: new Abstract: World models are defined as a compressed spatial and temporal learned representation of an environment.…
Bridging AI Innovation and Healthcare Needs: Lessons Learned from Incorporating Modern NLP at The BC Cancer Registry
arXiv:2508.09991v2 Announce Type: replace-cross Abstract: Automating data extraction from clinical documents offers significant potential to improve efficiency in healthcare settings,…
G-CUT3R: Guided 3D Reconstruction with Camera and Depth Prior Integration
arXiv:2508.11379v1 Announce Type: cross Abstract: We introduce G-CUT3R, a novel feed-forward approach for guided 3D scene reconstruction that enhances the…
When Punctuation Matters: A Large-Scale Comparison of Prompt Robustness Methods for LLMs
arXiv:2508.11383v1 Announce Type: cross Abstract: Large Language Models (LLMs) are highly sensitive to subtle, non-semantic variations in prompt phrasing and…
PTQAT: A Hybrid Parameter-Efficient Quantization Algorithm for 3D Perception Tasks
arXiv:2508.10557v2 Announce Type: replace-cross Abstract: Post-Training Quantization (PTQ) and Quantization-Aware Training (QAT) represent two mainstream model quantization approaches. However, PTQ…
Grounding Rule-Based Argumentation Using Datalog
arXiv:2508.10976v1 Announce Type: new Abstract: ASPIC+ is one of the main general frameworks for rule-based argumentation for AI. Although first-order…