Summary of Long-context Llms Meet Rag: Overcoming Challenges For Long Inputs in Rag, by Bowen Jin et al.
Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAGby Bowen Jin, Jinsung Yoon,…
Summary of Generalizing to Any Diverse Distribution: Uniformity, Gentle Finetuning and Rebalancing, by Andreas Loukas et al.
Generalizing to any diverse distribution: uniformity, gentle finetuning and rebalancingby Andreas Loukas, Karolis Martinkus, Ed…
Summary of Qera: An Analytical Framework For Quantization Error Reconstruction, by Cheng Zhang et al.
QERA: an Analytical Framework for Quantization Error Reconstructionby Cheng Zhang, Jeffrey T. H. Wong, Can…
Summary of Contrastive Learning to Fine-tune Feature Extraction Models For the Visual Cortex, by Alex Mulrooney and Austin J. Brockmeier
Contrastive Learning to Fine-Tune Feature Extraction Models for the Visual Cortexby Alex Mulrooney, Austin J.…
Summary of Does Roberta Perform Better Than Bert in Continual Learning: An Attention Sink Perspective, by Xueying Bai et al.
Does RoBERTa Perform Better than BERT in Continual Learning: An Attention Sink Perspectiveby Xueying Bai,…
Summary of Negmerge: Consensual Weight Negation For Strong Machine Unlearning, by Hyoseo Kim et al.
NegMerge: Consensual Weight Negation for Strong Machine Unlearningby Hyoseo Kim, Dongyoon Han, Junsuk ChoeFirst submitted…
Summary of Chain-of-thoughts For Molecular Understanding, by Yunhui Jang et al.
Chain-of-Thoughts for Molecular Understandingby Yunhui Jang, Jaehyung Kim, Sungsoo AhnFirst submitted to arxiv on: 8…
Summary of Leveraging Free Energy in Pretraining Model Selection For Improved Fine-tuning, by Michael Munn et al.
Leveraging free energy in pretraining model selection for improved fine-tuningby Michael Munn, Susan WeiFirst submitted…
Summary of Reward Learning From Preference with Ties, by Jinsong Liu et al.
Reward Learning From Preference With Tiesby Jinsong Liu, Dongdong Ge, Ruihao ZhuFirst submitted to arxiv…
Summary of Anyattack: Targeted Adversarial Attacks on Vision-language Models Toward Any Images, by Jiaming Zhang et al.
AnyAttack: Targeted Adversarial Attacks on Vision-Language Models toward Any Imagesby Jiaming Zhang, Junhong Ye, Xingjun…