· ai
[Paper] Timely Parameter Updating in Over-the-Air Federated Learning
Incorporating over-the-air computations (OAC) into the model training process of federated learning (FL) is an effective approach to alleviating the communicati...
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- · it
From assistance to autonomy: How agentic AI is redefining enterprises
Presented by EdgeVerve Artificial intelligence AI has long promised to change the way enterprises operate. For years, the focus was on assistants, systems that...
- · ai
[Paper] Clustering-based Transfer Learning for Dynamic Multimodal MultiObjective Evolutionary Algorithm
Dynamic multimodal multiobjective optimization presents the dual challenge of simultaneously tracking multiple equivalent pareto optimal sets and maintaining po...
- · ai
[Paper] FASTRIC: Prompt Specification Language for Verifiable LLM Interactions
Large Language Models (LLMs) execute complex multi-turn interaction protocols but lack formal specifications to verify execution against designer intent. We int...
- · ai
[Paper] When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models
Catastrophic forgetting poses a fundamental challenge in continual learning, particularly when models are quantized for deployment efficiency. We systematically...
- · ai
[Paper] Point What You Mean: Visually Grounded Instruction Policy
Vision-Language-Action (VLA) models align vision and language with embodied control, but their object referring ability remains limited when relying solely on t...
- · ai
[Paper] DPSR: Differentially Private Sparse Reconstruction via Multi-Stage Denoising for Recommender Systems
Differential privacy (DP) has emerged as the gold standard for protecting user data in recommender systems, but existing privacy-preserving mechanisms face a fu...
- · ai
[Paper] LouvreSAE: Sparse Autoencoders for Interpretable and Controllable Style Transfer
Artistic style transfer in generative models remains a significant challenge, as existing methods often introduce style only via model fine-tuning, additional a...
- · ai
[Paper] The Ensemble Schr{ö}dinger Bridge filter for Nonlinear Data Assimilation
This work puts forward a novel nonlinear optimal filter namely the Ensemble Schr{ö}dinger Bridge nonlinear filter. The proposed filter finds marriage of the sta...
- · ai
[Paper] Merging of Kolmogorov-Arnold networks trained on disjoint datasets
Training on disjoint datasets can serve two primary goals: accelerating data processing and enabling federated learning. It has already been established that Ko...
- · ai
[Paper] Delta-LLaVA: Base-then-Specialize Alignment for Token-Efficient Vision-Language Models
Multimodal Large Language Models (MLLMs) combine visual and textual representations to enable rich reasoning capabilities. However, the high computational cost ...
- · ai
[Paper] Remedy-R: Generative Reasoning for Machine Translation Evaluation without Error Annotations
Over the years, automatic MT metrics have hillclimbed benchmarks and presented strong and sometimes human-level agreement with human ratings. Yet they remain bl...