Summary of Creating An Ai Observer: Generative Semantic Workspaces, by Pavan Holur et al.
Creating an AI Observer: Generative Semantic Workspacesby Pavan Holur, Shreyas Rajesh, David Chong, Vwani RoychowdhuryFirst…
Summary of Matter: Memory-augmented Transformer Using Heterogeneous Knowledge Sources, by Dongkyu Lee et al.
MATTER: Memory-Augmented Transformer Using Heterogeneous Knowledge Sourcesby Dongkyu Lee, Chandana Satya Prakash, Jack FitzGerald, Jens…
Summary of Irokobench: a New Benchmark For African Languages in the Age Of Large Language Models, by David Ifeoluwa Adelani et al.
IrokoBench: A New Benchmark for African Languages in the Age of Large Language Modelsby David…
Summary of Measuring Retrieval Complexity in Question Answering Systems, by Matteo Gabburo et al.
Measuring Retrieval Complexity in Question Answering Systemsby Matteo Gabburo, Nicolaas Paul Jedema, Siddhant Garg, Leonardo…
Summary of Efficient Knowledge Infusion Via Kg-llm Alignment, by Zhouyu Jiang et al.
Efficient Knowledge Infusion via KG-LLM Alignmentby Zhouyu Jiang, Ling Zhong, Mengshu Sun, Jun Xu, Rui…
Summary of Css: Contrastive Semantic Similarity For Uncertainty Quantification Of Llms, by Shuang Ao et al.
CSS: Contrastive Semantic Similarity for Uncertainty Quantification of LLMsby Shuang Ao, Stefan Rueger, Advaith SiddharthanFirst…
Summary of Multimodal Reasoning with Multimodal Knowledge Graph, by Junlin Lee and Yequan Wang and Jing Li and Min Zhang
Multimodal Reasoning with Multimodal Knowledge Graphby Junlin Lee, Yequan Wang, Jing Li, Min ZhangFirst submitted…
Summary of I’ve Got the “answer”! Interpretation Of Llms Hidden States in Question Answering, by Valeriya Goloviznina and Evgeny Kotelnikov
I’ve got the “Answer”! Interpretation of LLMs Hidden States in Question Answeringby Valeriya Goloviznina, Evgeny…
Summary of Unioqa: a Unified Framework For Knowledge Graph Question Answering with Large Language Models, by Zhuoyang Li et al.
UniOQA: A Unified Framework for Knowledge Graph Question Answering with Large Language Modelsby Zhuoyang Li,…
Summary of An Information Bottleneck Perspective For Effective Noise Filtering on Retrieval-augmented Generation, by Kun Zhu et al.
An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generationby Kun Zhu, Xiaocheng Feng,…