Summary of Isotropic3d: Image-to-3d Generation Based on a Single Clip Embedding, by Pengkun Liu et al.
Isotropic3D: Image-to-3D Generation Based on a Single CLIP Embeddingby Pengkun Liu, Yikai Wang, Fuchun Sun,…
Summary of Enhancing Llm Factual Accuracy with Rag to Counter Hallucinations: a Case Study on Domain-specific Queries in Private Knowledge-bases, by Jiarui Li and Ye Yuan and Zehua Zhang
Enhancing LLM Factual Accuracy with RAG to Counter Hallucinations: A Case Study on Domain-Specific Queries…
Summary of Approximate Nullspace Augmented Finetuning For Robust Vision Transformers, by Haoyang Liu et al.
Approximate Nullspace Augmented Finetuning for Robust Vision Transformersby Haoyang Liu, Aditya Singh, Yijiang Li, Haohan…
Summary of Fisher Mask Nodes For Language Model Merging, by Thennal D K et al.
Fisher Mask Nodes for Language Model Mergingby Thennal D K, Ganesh Nathan, Suchithra M SFirst…
Summary of Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks, by Shin’ya Yamaguchi et al.
Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networksby Shin'ya Yamaguchi, Sekitoshi Kanai, Kazuki Adachi,…
Summary of Investigating the Performance Of Retrieval-augmented Generation and Fine-tuning For the Development Of Ai-driven Knowledge-based Systems, by Robert Lakatos et al.
Investigating the performance of Retrieval-Augmented Generation and fine-tuning for the development of AI-driven knowledge-based systemsby…
Summary of Leveraging Prototypical Representations For Mitigating Social Bias Without Demographic Information, by Shadi Iskander et al.
Leveraging Prototypical Representations for Mitigating Social Bias without Demographic Informationby Shadi Iskander, Kira Radinsky, Yonatan…
Summary of Mm1: Methods, Analysis & Insights From Multimodal Llm Pre-training, by Brandon Mckinzie et al.
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-trainingby Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier,…
Summary of Quiet-star: Language Models Can Teach Themselves to Think Before Speaking, by Eric Zelikman et al.
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speakingby Eric Zelikman, Georges Harik, Yijia…
Summary of Adversarial Fine-tuning Of Compressed Neural Networks For Joint Improvement Of Robustness and Efficiency, by Hallgrimur Thorsteinsson et al.
Adversarial Fine-tuning of Compressed Neural Networks for Joint Improvement of Robustness and Efficiencyby Hallgrimur Thorsteinsson,…