Title
ConTextual: Improving Clinical Text Summarization in LLMs with Context-preserving Token Filtering and Knowledge Graphs Fahmida Liza Piya Rahmatollah Beheshti 134 0 0 23 Apr 2025
No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models Jean Kaddour Oscar Key Piotr Nawrot Pasquale Minervini Matt J. Kusner 20 41 0 12 Jul 2023
UniMax: Fairer and more Effective Language Sampling for Large-Scale Multilingual Pretraining Hyung Won Chung Noah Constant Xavier Garcia Adam Roberts Yi Tay Sharan Narang Orhan Firat 23 50 0 18 Apr 2023
Language-Driven Representation Learning for Robotics Siddharth Karamcheti Suraj Nair Annie S. Chen Thomas Kollar Chelsea Finn Dorsa Sadigh Percy Liang LM&Ro SSL 47 145 0 24 Feb 2023
Pretraining Without Attention Junxiong Wang J. Yan Albert Gu Alexander M. Rush 27 48 0 20 Dec 2022
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model BigScience Workshop : Teven Le Scao Angela Fan Christopher Akiki ... Zhongli Xie Zifan Ye M. Bras Younes Belkada Thomas Wolf VLM 116 2,310 0 09 Nov 2022
Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost Sungjun Cho Seonwoo Min Jinwoo Kim Moontae Lee Honglak Lee Seunghoon Hong 40 3 0 27 Oct 2022
Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? Yi Tay Mostafa Dehghani Samira Abnar Hyung Won Chung W. Fedus J. Rao Sharan Narang Vinh Q. Tran Dani Yogatama Donald Metzler AI4CE 34 100 0 21 Jul 2022
Sparse Mixers: Combining MoE and Mixing to build a more efficient BERT James Lee-Thorp Joshua Ainslie MoE 32 11 0 24 May 2022
UL2: Unifying Language Learning Paradigms Yi Tay Mostafa Dehghani Vinh Q. Tran Xavier Garcia Jason W. Wei ... Tal Schuster H. Zheng Denny Zhou N. Houlsby Donald Metzler AI4CE 57 296 0 10 May 2022
To Know by the Company Words Keep and What Else Lies in the Vicinity Jake Williams H. Heidenreich 16 0 0 30 Apr 2022
deep-significance - Easy and Meaningful Statistical Significance Testing in the Age of Neural Networks Dennis Ulmer Christian Hardmeier J. Frellsen 48 42 0 14 Apr 2022
METRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals Payal Bajaj Chenyan Xiong Guolin Ke Xiaodong Liu Di He Saurabh Tiwary Tie-Yan Liu Paul N. Bennett Xia Song Jianfeng Gao 47 32 0 13 Apr 2022
What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization? Thomas Wang Adam Roberts Daniel Hesslow Teven Le Scao Hyung Won Chung Iz Beltagy Julien Launay Colin Raffel 31 167 0 12 Apr 2022
Where Does the Performance Improvement Come From? -- A Reproducibility Concern about Image-Text Retrieval Jun Rao Fei-Yue Wang Liang Ding Shuhan Qi Yibing Zhan Weifeng Liu Dacheng Tao OOD 42 28 0 08 Mar 2022
Transformer Quality in Linear Time Weizhe Hua Zihang Dai Hanxiao Liu Quoc V. Le 78 222 0 21 Feb 2022
ST-MoE: Designing Stable and Transferable Sparse Expert Models Barret Zoph Irwan Bello Sameer Kumar Nan Du Yanping Huang J. Dean Noam M. Shazeer W. Fedus MoE 24 181 0 17 Feb 2022
cosFormer: Rethinking Softmax in Attention Zhen Qin Weixuan Sun Huicai Deng Dongxu Li Yunshen Wei Baohong Lv Junjie Yan Lingpeng Kong Yiran Zhong 24 212 0 17 Feb 2022
Improving Neural Machine Translation by Denoising Training Liang Ding Keqin Peng Dacheng Tao VLM AI4CE 41 6 0 19 Jan 2022
Few-Shot Self-Rationalization with Natural Language Prompts Ana Marasović Iz Beltagy Doug Downey Matthew E. Peters LRM 26 106 0 16 Nov 2021
The Efficiency Misnomer Daoyuan Chen Liuyi Yao Dawei Gao Ashish Vaswani Yaliang Li 34 99 0 25 Oct 2021
Yuan 1.0: Large-Scale Pre-trained Language Model in Zero-Shot and Few-Shot Learning Shaohua Wu Xudong Zhao Tong Yu Rongguo Zhang C. Shen ... Feng Li Hong Zhu Jiangang Luo Liang Xu Xuanwei Zhang ALM 29 59 0 10 Oct 2021
Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers Yi Tay Mostafa Dehghani J. Rao W. Fedus Samira Abnar Hyung Won Chung Sharan Narang Dani Yogatama Ashish Vaswani Donald Metzler 206 110 0 22 Sep 2021
Primer: Searching for Efficient Transformers for Language Modeling David R. So Wojciech Mañke Hanxiao Liu Zihang Dai Noam M. Shazeer Quoc V. Le VLM 88 152 0 17 Sep 2021
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO Katharina Eggensperger Philip Muller Neeratyoy Mallik Matthias Feurer René Sass Aaron Klein Noor H. Awad Marius Lindauer Frank Hutter 46 100 0 14 Sep 2021
SHAPE: Shifted Absolute Position Embedding for Transformers Shun Kiyono Sosuke Kobayashi Jun Suzuki Kentaro Inui 236 45 0 13 Sep 2021
Exploiting BERT For Multimodal Target Sentiment Classification Through Input Space Translation Zaid Khan Y. Fu 30 131 0 03 Aug 2021
Revisiting Deep Learning Models for Tabular Data Yu. V. Gorishniy Ivan Rubachev Valentin Khrulkov Artem Babenko LMTD 48 699 0 22 Jun 2021
Do Transformers Really Perform Bad for Graph Representation? Chengxuan Ying Tianle Cai Shengjie Luo Shuxin Zheng Guolin Ke Di He Yanming Shen Tie-Yan Liu GNN 30 433 0 09 Jun 2021
FNet: Mixing Tokens with Fourier Transforms James Lee-Thorp Joshua Ainslie Ilya Eckstein Santiago Ontanon 26 517 0 09 May 2021
Multimodal Pretraining Unmasked: A Meta-Analysis and a Unified Framework of Vision-and-Language BERTs Emanuele Bugliarello Ryan Cotterell Naoaki Okazaki Desmond Elliott 35 119 0 30 Nov 2020
Rethinking embedding coupling in pre-trained language models Hyung Won Chung Thibault Févry Henry Tsai Melvin Johnson Sebastian Ruder 95 142 0 24 Oct 2020