Summary of Graph-based Confidence Calibration For Large Language Models, by Yukun Li et al.
Graph-based Confidence Calibration for Large Language Modelsby Yukun Li, Sijia Wang, Lifu Huang, Li-Ping LiuFirst…
Summary of Learning World Models For Unconstrained Goal Navigation, by Yuanlin Duan et al.
Learning World Models for Unconstrained Goal Navigationby Yuanlin Duan, Wensen Mao, He ZhuFirst submitted to…
Summary of Code-switching Curriculum Learning For Multilingual Transfer in Llms, by Haneul Yoo et al.
Code-Switching Curriculum Learning for Multilingual Transfer in LLMsby Haneul Yoo, Cheonbok Park, Sangdoo Yun, Alice…
Summary of Learning Multiple Initial Solutions to Optimization Problems, by Elad Sharony et al.
Learning Multiple Initial Solutions to Optimization Problemsby Elad Sharony, Heng Yang, Tong Che, Marco Pavone,…
Summary of Do Graph Neural Network States Contain Graph Properties?, by Tom Pelletreau-duris et al.
Do graph neural network states contain graph properties?by Tom Pelletreau-Duris, Ruud van Bakel, Michael CochezFirst…
Summary of Behavioral Sequence Modeling with Ensemble Learning, by Maxime Kawawa-beaudan et al.
Behavioral Sequence Modeling with Ensemble Learningby Maxime Kawawa-Beaudan, Srijan Sood, Soham Palande, Ganapathy Mani, Tucker…
Summary of Safe: Slow and Fast Parameter-efficient Tuning For Continual Learning with Pre-trained Models, by Linglan Zhao et al.
SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Modelsby Linglan Zhao, Xuerui…
Summary of Improving Steering Vectors by Targeting Sparse Autoencoder Features, By Sviatoslav Chalnev and Matthew Siu and Arthur Conmy
Improving Steering Vectors by Targeting Sparse Autoencoder Featuresby Sviatoslav Chalnev, Matthew Siu, Arthur ConmyFirst submitted…
Summary of Recursive Learning Of Asymptotic Variational Objectives, by Alessandro Mastrototaro et al.
Recursive Learning of Asymptotic Variational Objectivesby Alessandro Mastrototaro, Mathias Müller, Jimmy OlssonFirst submitted to arxiv…
Summary of Sira: Scalable Inter-frame Relation and Association For Radar Perception, by Ryoma Yataka et al.
SIRA: Scalable Inter-frame Relation and Association for Radar Perceptionby Ryoma Yataka, Pu Perry Wang, Petros…