Summary of Plan*rag: Efficient Test-time Planning For Retrieval Augmented Generation, by Prakhar Verma et al.
Plan*RAG: Efficient Test-Time Planning for Retrieval Augmented Generationby Prakhar Verma, Sukruta Prakash Midigeshi, Gaurav Sinha,…
Summary of Simple Is Effective: the Roles Of Graphs and Large Language Models in Knowledge-graph-based Retrieval-augmented Generation, by Mufei Li et al.
Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generationby…
Summary of A Random Matrix Theory Perspective on the Spectrum Of Learned Features and Asymptotic Generalization Capabilities, by Yatin Dandi et al.
A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilitiesby…
Summary of Guide: Real-time Human-shaped Agents, by Lingyu Zhang et al.
GUIDE: Real-Time Human-Shaped Agentsby Lingyu Zhang, Zhengran Ji, Nicholas R Waytowich, Boyuan ChenFirst submitted to…
Summary of Videoagent: Self-improving Video Generation, by Achint Soni et al.
VideoAgent: Self-Improving Video Generationby Achint Soni, Sreyas Venkataraman, Abhranil Chandra, Sebastian Fischmeister, Percy Liang, Bo…
Summary of Neural Material Adaptor For Visual Grounding Of Intrinsic Dynamics, by Junyi Cao et al.
Neural Material Adaptor for Visual Grounding of Intrinsic Dynamicsby Junyi Cao, Shanyan Guan, Yanhao Ge,…
Summary of Emerging Pixel Grounding in Large Multimodal Models Without Grounding Supervision, by Shengcao Cao et al.
Emerging Pixel Grounding in Large Multimodal Models Without Grounding Supervisionby Shengcao Cao, Liang-Yan Gui, Yu-Xiong…
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 Tldr: Token-level Detective Reward Model For Large Vision Language Models, by Deqing Fu et al.
TLDR: Token-Level Detective Reward Model for Large Vision Language Modelsby Deqing Fu, Tong Xiao, Rui…
Summary of Auto-gda: Automatic Domain Adaptation For Efficient Grounding Verification in Retrieval-augmented Generation, by Tobias Leemann et al.
Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval-Augmented Generationby Tobias Leemann, Periklis Petridis,…