SustaiNLP

Publications

2023

Shashank Sonkar, Zichao Wang, Richard G. Baraniuk
MANER: Mask Augmented Named Entity Recognition for Extreme Low-Resource Languages. SustaiNLP (2023)
Benno Kruit
Minimalist Entity Disambiguation for Mid-Resource Languages. SustaiNLP (2023)
Aliki Anagnostopoulou, Mareike Hartmann, Daniel Sonntag
Towards Adaptable and Interactive Image Captioning with Data Augmentation and Episodic Memory. SustaiNLP (2023)
Daniel Campos, Alexandre Marques, Mark Kurtz, ChengXiang Zhai
oBERTa: Improving Sparse Transfer Learning via improved initialization, distillation, and pruning regimes. SustaiNLP (2023)
Sandeep Silwal, Sara Ahmadian, Andrew Nystrom, Andrew McCallum, Deepak Ramachandran, Seyed Mehran Kazemi
KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals. SustaiNLP (2023)
Ganesh Jawahar, Subhabrata Mukherjee, Debadeepta Dey, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Caio Mendes, Gustavo de Rosa, Shital Shah
Small Character Models Match Large Word Models for Autocomplete Under Memory Constraints. SustaiNLP (2023)
Dantong Liu, Kaushik Pavani, Sunny Dasgupta
Small is the New Big: Pre-finetuned compact models are better for Asynchronous Active Learning. SustaiNLP (2023)
Jay Mohta
Prompting language models improves performance in imbalanced setting. SustaiNLP (2023)
Gregory Szumel, Ghazal Khalighinejad, Rickard Stureborg, Sam Wiseman
Exploring the Effect of Frequency Resolution in FNet. SustaiNLP (2023)
Jean-Michel Attendu, Jean-Philippe Corbeil
NLU on Data Diets: Dynamic Data Subset Selection for NLP Classification Tasks. SustaiNLP (2023)
Aditya Shah, Surendrabikram Thapa, Aneesh Jain, Lifu Huang
ADEPT: Adapter-based Efficient Prompt Tuning Approach for Language Models. SustaiNLP (2023)
Xu Han, Bin Guo, Yoon Jung, Benjamin Yao, Yu Zhang, Xiaohu Liu, Chenlei Guo
PersonaPKT: Building Personalized Dialogue Agents via Parameter-efficient Knowledge Transfer. SustaiNLP (2023)
Zhisong Zhang, Emma Strubell, Eduard H. Hovy
On the Interactions of Structural Constraints and Data Resources for Structured Prediction. SustaiNLP (2023)
Chenyang Lyu, Tianbo Ji, Yvette Graham, Jennifer Foster
Is a Video worth n n Images? A Highly Efficient Approach to Transformer-based Video Question Answering. SustaiNLP (2023)
Nick McKenna, Priyanka Sen
KGQA Without Retraining. SustaiNLP (2023)
Daniel Campos, Alessandro Magnani, Chengxiang Zhai
Quick Dense Retrievers Consume KALE: Post Training KullbackLeibler Alignment of Embeddings for Asymmetrical dual encoders. SustaiNLP (2023)
Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing, SustaiNLP 2023, Toronto, Canada (Hybrid), July 13, 2023 SustaiNLP (2023)
Xin Xu, Yuqi Zhu, Xiaohan Wang, Ningyu Zhang
How to Unleash the Power of Large Language Models for Few-shot Relation Extraction? SustaiNLP (2023)
Peggy Tang, Junbin Gao, Lei Zhang, Zhiyong Wang
Efficient and Interpretable Compressive Text Summarisation with Unsupervised Dual-Agent Reinforcement Learning. SustaiNLP (2023)
Ameeta Agrawal, Suresh Singh
Corpus Complexity Matters in Pretraining Language Models. SustaiNLP (2023)
Joel Niklaus, Daniele Giofré
Can we Pretrain a SotA Legal Language Model on a Budget From Scratch? SustaiNLP (2023)
Daniel Campos, Chengxiang Zhai
To Asymmetry and Beyond: Structured Pruning of Sequence to Sequence Models for Improved Inference Efficiency. SustaiNLP (2023)
Sho Takase, Shun Kiyono
Lessons on Parameter Sharing across Layers in Transformers. SustaiNLP (2023)
Yuxuan Wang, Hong Lyu
Query Encoder Distillation via Embedding Alignment is a Strong Baseline Method to Boost Dense Retriever Online Efficiency. SustaiNLP (2023)
Yanchen Liu, Timo Schick, Hinrich Schtze
Semantic-Oriented Unlabeled Priming for Large-Scale Language Models. SustaiNLP (2023)