3 papers
cs.LG2026
Steering Under Compression: Dose-Response, Capability Cost, and Failure Asymmetry in Quantized LLMs
Saurav Bhandari, Benjamin Wade
Inference-time activation steering enables behavioral control of large language models without parameter modification, while post-training quantization reduces memory and compute c…
cs.CV2025
Nepali Sign Language Characters Recognition: Dataset Development and Deep Learning Approaches
Birat Poudel, Satyam Ghimire, Sijan Bhattarai +2
Sign languages serve as essential communication systems for individuals with hearing and speech impairments. However, digital linguistic dataset resources for underrepresented sign…
cs.LG2025
Diversity Conscious Refined Random Forest
Sijan Bhattarai, Saurav Bhandari, Girija Bhusal +2
Random Forest (RF) is a widely used ensemble learning technique known for its robust classification performance across diverse domains. However, it often relies on hundreds of tree…