Summary of Look Ahead or Look Around? a Theoretical Comparison Between Autoregressive and Masked Pretraining, by Qi Zhang et al.
Look Ahead or Look Around? A Theoretical Comparison Between Autoregressive and Masked Pretrainingby Qi Zhang,…
Summary of Large Language Models Struggle in Token-level Clinical Named Entity Recognition, by Qiuhao Lu et al.
Large Language Models Struggle in Token-Level Clinical Named Entity Recognitionby Qiuhao Lu, Rui Li, Andrew…
Summary of Token Erasure As a Footprint Of Implicit Vocabulary Items in Llms, by Sheridan Feucht et al.
Token Erasure as a Footprint of Implicit Vocabulary Items in LLMsby Sheridan Feucht, David Atkinson,…
Summary of Wavelets Are All You Need For Autoregressive Image Generation, by Wael Mattar et al.
Wavelets Are All You Need for Autoregressive Image Generationby Wael Mattar, Idan Levy, Nir Sharon,…
Summary of Lopt: Low-rank Prompt Tuning For Parameter Efficient Language Models, by Shouchang Guo et al.
LoPT: Low-Rank Prompt Tuning for Parameter Efficient Language Modelsby Shouchang Guo, Sonam Damani, Keng-hao ChangFirst…
Summary of Averaging Log-likelihoods in Direct Alignment, by Nathan Grinsztajn et al.
Averaging log-likelihoods in direct alignmentby Nathan Grinsztajn, Yannis Flet-Berliac, Mohammad Gheshlaghi Azar, Florian Strub, Bill…
Summary of Ntformer: a Composite Node Tokenized Graph Transformer For Node Classification, by Jinsong Chen et al.
NTFormer: A Composite Node Tokenized Graph Transformer for Node Classificationby Jinsong Chen, Siyu Jiang, Kun…
Summary of Leveraging Contrastive Learning For Enhanced Node Representations in Tokenized Graph Transformers, by Jinsong Chen et al.
Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformersby Jinsong Chen, Hanpeng Liu,…
Summary of Token-weighted Rnn-t For Learning From Flawed Data, by Gil Keren et al.
Token-Weighted RNN-T for Learning from Flawed Databy Gil Keren, Wei Zhou, Ozlem KalinliFirst submitted to…
Summary of Labor-llm: Language-based Occupational Representations with Large Language Models, by Susan Athey et al.
LABOR-LLM: Language-Based Occupational Representations with Large Language Modelsby Susan Athey, Herman Brunborg, Tianyu Du, Ayush…