Summary of On the Learn-to-optimize Capabilities Of Transformers in In-context Sparse Recovery, by Renpu Liu et al.
On the Learn-to-Optimize Capabilities of Transformers in In-Context Sparse Recoveryby Renpu Liu, Ruida Zhou, Cong…
Summary of Personalized Adaptation Via In-context Preference Learning, by Allison Lau et al.
Personalized Adaptation via In-Context Preference Learningby Allison Lau, Younwoo Choi, Vahid Balazadeh, Keertana Chidambaram, Vasilis…
Summary of Analyzing Deep Transformer Models For Time Series Forecasting Via Manifold Learning, by Ilya Kaufman and Omri Azencot
Analyzing Deep Transformer Models for Time Series Forecasting via Manifold Learningby Ilya Kaufman, Omri AzencotFirst…
Summary of Adversarial Testing As a Tool For Interpretability: Length-based Overfitting Of Elementary Functions in Transformers, by Patrik Zavoral et al.
Adversarial Testing as a Tool for Interpretability: Length-based Overfitting of Elementary Functions in Transformersby Patrik…
Summary of Lighttransfer: Your Long-context Llm Is Secretly a Hybrid Model with Effortless Adaptation, by Xuan Zhang et al.
LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptationby Xuan Zhang, Fengzhuo…
Summary of Movie Gen: a Cast Of Media Foundation Models, by Adam Polyak et al.
Movie Gen: A Cast of Media Foundation Modelsby Adam Polyak, Amit Zohar, Andrew Brown, Andros…
Summary of Reducing the Transformer Architecture to a Minimum, by Bernhard Bermeitinger et al.
Reducing the Transformer Architecture to a Minimumby Bernhard Bermeitinger, Tomas Hrycej, Massimo Pavone, Julianus Kath,…
Summary of Enhancing Text Generation in Joint Nlg/nlu Learning Through Curriculum Learning, Semi-supervised Training, and Advanced Optimization Techniques, by Rahimanuddin Shaik et al.
Enhancing Text Generation in Joint NLG/NLU Learning Through Curriculum Learning, Semi-Supervised Training, and Advanced Optimization…
Summary of Text-guided Multi-property Molecular Optimization with a Diffusion Language Model, by Yida Xiong et al.
Text-Guided Multi-Property Molecular Optimization with a Diffusion Language Modelby Yida Xiong, Kun Li, Weiwei Liu,…
Summary of Transformer-based Approaches For Sensor-based Human Activity Recognition: Opportunities and Challenges, by Clayton Souza Leite et al.
Transformer-Based Approaches for Sensor-Based Human Activity Recognition: Opportunities and Challengesby Clayton Souza Leite, Henry Mauranen,…