Summary of Federated Large Language Models: Current Progress and Future Directions, by Yuhang Yao et al.
Federated Large Language Models: Current Progress and Future Directionsby Yuhang Yao, Jianyi Zhang, Junda Wu,…
Federated Large Language Models: Current Progress and Future Directionsby Yuhang Yao, Jianyi Zhang, Junda Wu,…
Multitask Mayhem: Unveiling and Mitigating Safety Gaps in LLMs Fine-tuningby Essa Jan, Nouar AlDahoul, Moiz…
Smirk: An Atomically Complete Tokenizer for Molecular Foundation Modelsby Alexius Wadell, Anoushka Bhutani, Venkatasubramanian ViswanathanFirst…
Enabling Efficient On-Device Fine-Tuning of LLMs Using Only Inference Enginesby Lei Gao, Amir Ziashahabi, Yue…
Style Outweighs Substance: Failure Modes of LLM Judges in Alignment Benchmarkingby Benjamin Feuer, Micah Goldblum,…
Block-Attention for Efficient RAGby East Sun, Yan Wang, Lan TianFirst submitted to arxiv on: 14…
Protein-Mamba: Biological Mamba Models for Protein Function Predictionby Bohao Xu, Yingzhou Lu, Yoshitaka Inoue, Namkyeong…
Harmonising the Clinical Melody: Tuning Large Language Models for Hospital Course Summarisation in Clinical Codingby…
EchoAtt: Attend, Copy, then Adjust for More Efficient Large Language Modelsby Hossein Rajabzadeh, Aref Jafari,…
Towards Building Efficient Sentence BERT Models using Layer Pruningby Anushka Shelke, Riya Savant, Raviraj JoshiFirst…