Summary of Federated Instruction Tuning Of Llms with Domain Coverage Augmentation, by Zezhou Wang et al.
Federated Instruction Tuning of LLMs with Domain Coverage Augmentationby Zezhou Wang, Yaxin Du, Xingjun Ma,…
Summary of Scalable Fine-tuning From Multiple Data Sources: a First-order Approximation Approach, by Dongyue Li et al.
Scalable Fine-tuning from Multiple Data Sources: A First-Order Approximation Approachby Dongyue Li, Ziniu Zhang, Lu…
Summary of Temporally Consistent Factuality Probing For Large Language Models, by Ashutosh Bajpai et al.
Temporally Consistent Factuality Probing for Large Language Modelsby Ashutosh Bajpai, Aaryan Goyal, Atif Anwer, Tanmoy…
Summary of Democratizing Mllms in Healthcare: Tinyllava-med For Efficient Healthcare Diagnostics in Resource-constrained Settings, by Aya El Mir et al.
Democratizing MLLMs in Healthcare: TinyLLaVA-Med for Efficient Healthcare Diagnostics in Resource-Constrained Settingsby Aya El Mir,…
Summary of Alpapico: Extraction Of Pico Frames From Clinical Trial Documents Using Llms, by Madhusudan Ghosh et al.
AlpaPICO: Extraction of PICO Frames from Clinical Trial Documents Using LLMsby Madhusudan Ghosh, Shrimon Mukherjee,…
Summary of Multi-modal Instruction-tuning Small-scale Language-and-vision Assistant For Semiconductor Electron Micrograph Analysis, by Sakhinana Sagar Srinivas et al.
Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysisby Sakhinana Sagar Srinivas, Geethan Sannidhi,…
Summary of Agr: Age Group Fairness Reward For Bias Mitigation in Llms, by Shuirong Cao et al.
AGR: Age Group fairness Reward for Bias Mitigation in LLMsby Shuirong Cao, Ruoxi Cheng, Zhiqiang…
Summary of Generative Verifiers: Reward Modeling As Next-token Prediction, by Lunjun Zhang et al.
Generative Verifiers: Reward Modeling as Next-Token Predictionby Lunjun Zhang, Arian Hosseini, Hritik Bansal, Mehran Kazemi,…
Summary of Agentic Retrieval-augmented Generation For Time Series Analysis, by Chidaksh Ravuru et al.
Agentic Retrieval-Augmented Generation for Time Series Analysisby Chidaksh Ravuru, Sagar Srinivas Sakhinana, Venkataramana RunkanaFirst submitted…
Summary of Advancing Enterprise Spatio-temporal Forecasting Applications: Data Mining Meets Instruction Tuning Of Language Models For Multi-modal Time Series Analysis in Low-resource Settings, by Sagar Srinivas Sakhinana et al.
Advancing Enterprise Spatio-Temporal Forecasting Applications: Data Mining Meets Instruction Tuning of Language Models For Multi-modal…