Generalizing to any diverse distribution: uniformity, gentle finetuning and rebalancingby Andreas Loukas, Karolis Martinkus, Ed…
Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAGby Bowen Jin, Jinsung Yoon,…
QERA: an Analytical Framework for Quantization Error Reconstructionby Cheng Zhang, Jeffrey T. H. Wong, Can…
Contrastive Learning to Fine-Tune Feature Extraction Models for the Visual Cortexby Alex Mulrooney, Austin J.…
FLOPS: Forward Learning with OPtimal Samplingby Tao Ren, Zishi Zhang, Jinyang Jiang, Guanghao Li, Zeliang…
NegMerge: Consensual Weight Negation for Strong Machine Unlearningby Hyoseo Kim, Dongyoon Han, Junsuk ChoeFirst submitted…
Chain-of-Thoughts for Molecular Understandingby Yunhui Jang, Jaehyung Kim, Sungsoo AhnFirst submitted to arxiv on: 8…
Leveraging free energy in pretraining model selection for improved fine-tuningby Michael Munn, Susan WeiFirst submitted…
Does RoBERTa Perform Better than BERT in Continual Learning: An Attention Sink Perspectiveby Xueying Bai,…
Reward Learning From Preference With Tiesby Jinsong Liu, Dongdong Ge, Ruihao ZhuFirst submitted to arxiv…