New Framework
Recent research focuses on developing versatile frameworks for various tasks, primarily aiming to improve efficiency, reproducibility, and accessibility within their respective domains. These frameworks leverage diverse techniques, including programmatic data generation for LLMs, deep learning architectures for image and audio processing, and reinforcement learning for optimization and automated testing. The resulting advancements enhance the development and evaluation of AI models, improve the reliability of benchmarking processes, and offer new tools for diverse applications ranging from healthcare diagnostics to autonomous vehicle navigation.
Papers
Framework for Co-distillation Driven Federated Learning to Address Class Imbalance in Healthcare
Suraj Racha, Shubh Gupta, Humaira Firdowse, Aastik Solanki, Ganesh Ramakrishnan, Kshitij S. Jadhav
On the Cost of Model-Serving Frameworks: An Experimental Evaluation
Pasquale De Rosa, Yérom-David Bromberg, Pascal Felber, Djob Mvondo, Valerio Schiavoni
A Social Outcomes and Priorities centered (SOP) Framework for AI policy
Mohak Shah
TractoEmbed: Modular Multi-level Embedding framework for white matter tract segmentation
Anoushkrit Goel, Bipanjit Singh, Ankita Joshi, Ranjeet Ranjan Jha, Chirag Ahuja, Aditya Nigam, Arnav Bhavsar
Adaptive Meta-Learning for Robust Deepfake Detection: A Multi-Agent Framework to Data Drift and Model Generalization
Dinesh Srivasthav P, Badri Narayan Subudhi
OWLed: Outlier-weighed Layerwise Pruning for Efficient Autonomous Driving Framework
Jiaxi Li, Lu Yin, Xilu Wang
In-Context Learning for Preserving Patient Privacy: A Framework for Synthesizing Realistic Patient Portal Messages
Joseph Gatto, Parker Seegmiller, Timothy E. Burdick, Sarah Masud Preum
Probabilistic Consensus through Ensemble Validation: A Framework for LLM Reliability
Ninad Naik
MatPilot: an LLM-enabled AI Materials Scientist under the Framework of Human-Machine Collaboration
Ziqi Ni, Yahao Li, Kaijia Hu, Kunyuan Han, Ming Xu, Xingyu Chen, Fengqi Liu, Yicong Ye, Shuxin Bai
Balancing Power and Ethics: A Framework for Addressing Human Rights Concerns in Military AI
Mst Rafia Islam, Azmine Toushik Wasi
GUIDEQ: Framework for Guided Questioning for progressive informational collection and classification
Priya Mishra, Suraj Racha, Kaustubh Ponkshe, Adit Akarsh, Ganesh Ramakrishnan
ZOPP: A Framework of Zero-shot Offboard Panoptic Perception for Autonomous Driving
Tao Ma, Hongbin Zhou, Qiusheng Huang, Xuemeng Yang, Jianfei Guo, Bo Zhang, Min Dou, Yu Qiao, Botian Shi, Hongsheng Li
NeuroFly: A framework for whole-brain single neuron reconstruction
Rubin Zhao, Yang Liu, Shiqi Zhang, Zijian Yi, Yanyang Xiao, Fang Xu, Yi Yang, Pencheng Zhou
LLM-R: A Framework for Domain-Adaptive Maintenance Scheme Generation Combining Hierarchical Agents and RAG
Laifa Tao, Qixuan Huang, Xianjun Wu, Weiwei Zhang, Yunlong Wu, Bin Li, Chen Lu, Xingshuo Hai