Summary of Attention Speaks Volumes: Localizing and Mitigating Bias in Language Models, by Rishabh Adiga et al.
Attention Speaks Volumes: Localizing and Mitigating Bias in Language Modelsby Rishabh Adiga, Besmira Nushi, Varun…
Attention Speaks Volumes: Localizing and Mitigating Bias in Language Modelsby Rishabh Adiga, Besmira Nushi, Varun…
A Hierarchical Language Model For Interpretable Graph Reasoningby Sambhav Khurana, Xiner Li, Shurui Gui, Shuiwang…
Robust and Unbounded Length Generalization in Autoregressive Transformer-Based Text-to-Speechby Eric Battenberg, RJ Skerry-Ryan, Daisy Stanton,…
Abrupt Learning in Transformers: A Case Study on Matrix Completionby Pulkit Gopalani, Ekdeep Singh Lubana,…
Dimensionality-induced information loss of outliers in deep neural networksby Kazuki Uematsu, Kosuke Haruki, Taiji Suzuki,…
Generating Realistic Tabular Data with Large Language Modelsby Dang Nguyen, Sunil Gupta, Kien Do, Thin…
Reliable and Compact Graph Fine-tuning via GraphSparse Promptingby Bo Jiang, Hao Wu, Beibei Wang, Jin…
Diffusion-nested Auto-Regressive Synthesis of Heterogeneous Tabular Databy Hengrui Zhang, Liancheng Fang, Qitian Wu, Philip S.…
Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledgeby Heewoong Noh, Namkyeong Lee, Gyoung S. Na, Chanyoung…
LinFormer: A Linear-based Lightweight Transformer Architecture For Time-Aware MIMO Channel Predictionby Yanliang Jin, Yifan Wu,…