Summary of Ltsm-bundle: a Toolbox and Benchmark on Large Language Models For Time Series Forecasting, by Yu-neng Chuang et al.
LTSM-Bundle: A Toolbox and Benchmark on Large Language Models for Time Series Forecastingby Yu-Neng Chuang,…
Summary of Model Internals-based Answer Attribution For Trustworthy Retrieval-augmented Generation, by Jirui Qi et al.
Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generationby Jirui Qi, Gabriele Sarti, Raquel Fernández, Arianna…
Summary of Soft Prompting For Unlearning in Large Language Models, by Karuna Bhaila et al.
Soft Prompting for Unlearning in Large Language Modelsby Karuna Bhaila, Minh-Hao Van, Xintao WuFirst submitted…
Summary of Decomposed Evaluations Of Geographic Disparities in Text-to-image Models, by Abhishek Sureddy et al.
Decomposed evaluations of geographic disparities in text-to-image modelsby Abhishek Sureddy, Dishant Padalia, Nandhinee Periyakaruppa, Oindrila…
Summary of A Notion Of Complexity For Theory Of Mind Via Discrete World Models, by X. Angelo Huang et al.
A Notion of Complexity for Theory of Mind via Discrete World Modelsby X. Angelo Huang,…
Summary of Cm2-net: Continual Cross-modal Mapping Network For Driver Action Recognition, by Ruoyu Wang et al.
CM2-Net: Continual Cross-Modal Mapping Network for Driver Action Recognitionby Ruoyu Wang, Chen Cai, Wenqian Wang,…
Summary of Probing the Decision Boundaries Of In-context Learning in Large Language Models, by Siyan Zhao et al.
Probing the Decision Boundaries of In-context Learning in Large Language Modelsby Siyan Zhao, Tung Nguyen,…
Summary of A Unified Graph Selective Prompt Learning For Graph Neural Networks, by Bo Jiang et al.
A Unified Graph Selective Prompt Learning for Graph Neural Networksby Bo Jiang, Hao Wu, Ziyan…
Summary of Yo’llava: Your Personalized Language and Vision Assistant, by Thao Nguyen et al.
Yo’LLaVA: Your Personalized Language and Vision Assistantby Thao Nguyen, Haotian Liu, Yuheng Li, Mu Cai,…
Summary of Large Language Models Must Be Taught to Know What They Don’t Know, by Sanyam Kapoor et al.
Large Language Models Must Be Taught to Know What They Don’t Knowby Sanyam Kapoor, Nate…