Dynamic Sparsity: Challenging Common Sparsity Assumptions for Learning World Models in Robotic Reinforcement Learning Benchmarks
arXiv:2511.08086v1 Announce Type: cross Abstract: The use of learned dynamics models, also known as world models, can improve the sample…
Hard vs. Noise: Resolving Hard-Noisy Sample Confusion in Recommender Systems via Large Language Models
arXiv:2511.07295v2 Announce Type: replace-cross Abstract: Implicit feedback, employed in training recommender systems, unavoidably confronts noise due to factors such as…
Evidence-Bound Autonomous Research (EviBound): A Governance Framework for Eliminating False Claims
arXiv:2511.05524v1 Announce Type: new Abstract: LLM-based autonomous research agents report false claims: tasks marked “complete” despite missing artifacts, contradictory metrics,…
SWE-Compass: Towards Unified Evaluation of Agentic Coding Abilities for Large Language Models
arXiv:2511.05459v2 Announce Type: replace-cross Abstract: Evaluating large language models (LLMs) for software engineering has been limited by narrow task coverage,…
Magnitude-Modulated Equivariant Adapter for Parameter-Efficient Fine-Tuning of Equivariant Graph Neural Networks
arXiv:2511.06696v1 Announce Type: cross Abstract: Pretrained equivariant graph neural networks based on spherical harmonics offer efficient and accurate alternatives to…
ML-EcoLyzer: Quantifying the Environmental Cost of Machine Learning Inference Across Frameworks and Hardware
arXiv:2511.06694v1 Announce Type: cross Abstract: Machine learning inference occurs at a massive scale, yet its environmental impact remains poorly quantified,…
Rethinking Metrics and Diffusion Architecture for 3D Point Cloud Generation
arXiv:2511.05308v2 Announce Type: replace-cross Abstract: As 3D point clouds become a cornerstone of modern technology, the need for sophisticated generative…
A hybrid solution approach for the Integrated Healthcare Timetabling Competition 2024
arXiv:2511.04685v1 Announce Type: new Abstract: We report about the algorithm, implementation and results submitted to the Integrated Healthcare Timetabling Competition…
On the Brittleness of CLIP Text Encoders
arXiv:2511.04247v2 Announce Type: replace-cross Abstract: Multimodal co-embedding models, especially CLIP, have advanced the state of the art in zero-shot classification…
AI Assisted AR Assembly: Object Recognition and Computer Vision for Augmented Reality Assisted Assembly
arXiv:2511.05394v1 Announce Type: cross Abstract: We present an AI-assisted Augmented Reality assembly workflow that uses deep learning-based object recognition to…