Summary of From Multimodal Llms to Generalist Embodied Agents: Methods and Lessons, by Andrew Szot et al.
From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessonsby Andrew Szot, Bogdan Mazoure, Omar…
Summary of Efficient Rectification Of Neuro-symbolic Reasoning Inconsistencies by Abductive Reflection, By Wen-chao Hu et al.
Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflectionby Wen-Chao Hu, Wang-Zhou Dai, Yuan Jiang,…
Summary of Federated Learning For Traffic Flow Prediction with Synthetic Data Augmentation, by Fermin Orozco et al.
Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentationby Fermin Orozco, Pedro Porto Buarque…
Summary of Multilingual Llms Inherently Reward In-language Time-sensitive Semantic Alignment For Low-resource Languages, by Ashutosh Bajpai et al.
Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languagesby Ashutosh Bajpai, Tanmoy ChakrabortyFirst…
Summary of Non-myopic Multi-objective Bayesian Optimization, by Syrine Belakaria et al.
Non-Myopic Multi-Objective Bayesian Optimizationby Syrine Belakaria, Alaleh Ahmadianshalchi, Barbara Engelhardt, Stefano Ermon, Janardhan Rao DoppaFirst…
Summary of Generative Zoo, by Tomasz Niewiadomski and Anastasios Yiannakidis and Hanz Cuevas-velasquez and Soubhik Sanyal and Michael J. Black and Silvia Zuffi and Peter Kulits
Generative Zooby Tomasz Niewiadomski, Anastasios Yiannakidis, Hanz Cuevas-Velasquez, Soubhik Sanyal, Michael J. Black, Silvia Zuffi,…
Summary of Adversarial Vulnerabilities in Large Language Models For Time Series Forecasting, by Fuqiang Liu et al.
Adversarial Vulnerabilities in Large Language Models for Time Series Forecastingby Fuqiang Liu, Sicong Jiang, Luis…
Summary of Barking Up the Syntactic Tree: Enhancing Vlm Training with Syntactic Losses, by Jiayun Luo et al.
Barking Up The Syntactic Tree: Enhancing VLM Training with Syntactic Lossesby Jiayun Luo, Mir Rayat…
Summary of Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems Of Sar Oil Spill Segmentation, by Jaeho Moon et al.
Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of…
Summary of Modeling Latent Non-linear Dynamical System Over Time Series, by Ren Fujiwara et al.
Modeling Latent Non-Linear Dynamical System over Time Seriesby Ren Fujiwara, Yasuko Matsubara, Yasushi SakuraiFirst submitted…