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arXiv cs.AI Research & Papers
Comparative evaluation of training strategies using partially labelled datasets for segme…
arXiv cs.AI Research & Papers
More Bang for the Buck: Improving the Inference of Large Language Models at a Fixed Budge…
arXiv cs.AI Research & Papers
UA-DCM: Uncertainty-aware Causal Decision Making via Effect Bound Decomposition
arXiv cs.AI Research & Papers
MEnvAgent: Scalable Polyglot Environment Construction for Verifiable Software Engineering
arXiv cs.AI Research & Papers
How Hyper-Datafication Impacts the Sustainability Costs in Frontier AI
arXiv cs.AI Research & Papers
Performative Learning Theory
arXiv cs.AI Research & Papers
Generative Reasoning Re-ranker
arXiv cs.AI Research & Papers
Prescriptive Scaling Reveals the Evolution of Language Model Capabilities
arXiv cs.AI Research & Papers
Training-Free Intelligibility-Guided Observation Addition for Noisy ASR
arXiv cs.AI Research & Papers
CodeTaste: Can LLMs Generate Human-Level Code Refactorings?
arXiv cs.AI Research & Papers
POET-X: Memory-efficient LLM Training by Scaling Orthogonal Transformation
arXiv cs.AI Research & Papers
Context Over Compute Human-in-the-Loop Outperforms Iterative Chain-of-Thought Prompting i…
arXiv cs.AI Research & Papers
How Transformers Reject Wrong Answers: Rotational Dynamics of Factual Constraint Processi…
arXiv cs.AI Research & Papers
AgroOmni: A Large-Scale Multi-view Agricultural Dataset for Cross-Scale Multimodal Reason…
arXiv cs.AI Research & Papers
Component Ablation for Efficient Hybrid Language Model Architectures: Performance, Resili…
arXiv cs.AI Research & Papers
DecepGPT: Schema-Driven Deception Detection with Multicultural Datasets and Robust Multim…
arXiv cs.AI Research & Papers
UnWeaving the knots of GraphRAG -- turns out VectorRAG is almost enough
arXiv cs.AI Research & Papers
Muon$^2$: Boosting Muon via Adaptive Second-Moment Preconditioning
arXiv cs.AI Research & Papers
Capacity-Controlled Global Attention for Graph Transformers
arXiv cs.AI Research & Papers
Knee-xRAI: An Explainable AI Framework for Automatic Kellgren-Lawrence Grading of Knee Os…
arXiv cs.AI Research & Papers
Speech Enhancement Based on Drifting Models
arXiv cs.AI Research & Papers
When Do Diffusion Models learn to Generate Multiple Objects?
arXiv cs.AI Research & Papers
Kernel Affine Hull Machines as Compute-Efficient Encoders for Frozen Semantic Spaces
arXiv cs.AI Research & Papers
Neuron-Anchored Rule Extraction for Large Language Models via Contrastive Hierarchical Ab…
arXiv cs.AI Research & Papers
Self-Mined Hardness for Safety Fine-Tuning
arXiv cs.AI Research & Papers
NavOne: One-Step Global Planning for Vision-Language Navigation on Top-Down Maps
arXiv cs.AI Research & Papers
MinMax Recurrent Neural Cascades
arXiv cs.AI Research & Papers
Quantifying Rodda and Graham Gait Classification from 3D Markerless Kinematics derived fr…
arXiv cs.AI Research & Papers
Improving the Performance and Learning Stability of Parallelizable RNNs Designed for Ultr…
arXiv cs.AI Research & Papers
High-Rate Quantized Matrix Multiplication II