Summary of Towards Enhanced Rac Accessibility: Leveraging Datasets and Llms, by Edison Jair Bejarano Sepulveda et al.
Towards Enhanced RAC Accessibility: Leveraging Datasets and LLMsby Edison Jair Bejarano Sepulveda, Nicolai Potes Hector,…
Summary of Cinepile: a Long Video Question Answering Dataset and Benchmark, by Ruchit Rawal et al.
CinePile: A Long Video Question Answering Dataset and Benchmarkby Ruchit Rawal, Khalid Saifullah, Miquel Farré,…
Summary of Rlhf Workflow: From Reward Modeling to Online Rlhf, by Hanze Dong et al.
RLHF Workflow: From Reward Modeling to Online RLHFby Hanze Dong, Wei Xiong, Bo Pang, Haoxiang…
Summary of Binning As a Pretext Task: Improving Self-supervised Learning in Tabular Domains, by Kyungeun Lee et al.
Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domainsby Kyungeun Lee, Ye Seul…
Summary of Ensemble Successor Representations For Task Generalization in Offline-to-online Reinforcement Learning, by Changhong Wang et al.
Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learningby Changhong Wang, Xudong Yu, Chenjia…
Summary of Open Challenges and Opportunities in Federated Foundation Models Towards Biomedical Healthcare, by Xingyu Li et al.
Open Challenges and Opportunities in Federated Foundation Models Towards Biomedical Healthcareby Xingyu Li, Lu Peng,…
Summary of Dp-dylora: Fine-tuning Transformer-based Models On-device Under Differentially Private Federated Learning Using Dynamic Low-rank Adaptation, by Jie Xu et al.
DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptationby Jie…
Summary of Selective Fine-tuning on Llm-labeled Data May Reduce Reliance on Human Annotation: a Case Study Using Schedule-of-event Table Detection, by Bhawesh Kumar et al.
Selective Fine-tuning on LLM-labeled Data May Reduce Reliance on Human Annotation: A Case Study Using…
Summary of Vlsm-adapter: Finetuning Vision-language Segmentation Efficiently with Lightweight Blocks, by Manish Dhakal et al.
VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocksby Manish Dhakal, Rabin Adhikari, Safal Thapaliya, Bishesh…
Summary of Memory-space Visual Prompting For Efficient Vision-language Fine-tuning, by Shibo Jie et al.
Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuningby Shibo Jie, Yehui Tang, Ning Ding, Zhi-Hong Deng,…