Papers
Federated Learning of Gboard Language Models with Differential Privacy
Zheng Xu, Yanxiang Zhang, Galen Andrew et al.
FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP
Zhuo Zhang, Xiangjing Hu, Jingyuan Zhang et al.
FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models
Zhuo Zhang, Yuanhang Yang, Yong Dai et al.
FEED PETs: Further Experimentation and Expansion on the Disambiguation of Potentially Euphemistic Terms
Patrick Lee, Iyanuoluwa Shode, Alain Trujillo et al.
“Female Astronaut: Because sandwiches won’t make themselves up there”: Towards Multimodal misogyny detection in memes
Smriti Singh, Amritha Haridasan, Raymond Mooney
FERMAT: An Alternative to Accuracy for Numerical Reasoning
Jasivan Sivakumar, Nafise Sadat Moosavi
Few-shot Adaptation Works with UnpredicTable Data
Jun Shern Chan, Michael Pieler, Jonathan Jao et al.
Few-shot Classification with Hypersphere Modeling of Prototypes
Ning Ding, Yulin Chen, Ganqu Cui et al.
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning
Alexander Hanbo Li, Mingyue Shang, Evangelia Spiliopoulou et al.
Few-Shot Document-Level Event Argument Extraction
Xianjun Yang, Yujie Lu, Linda Petzold
Few-shot Event Detection: An Empirical Study and a Unified View
Yubo Ma, Zehao Wang, Yixin Cao et al.
Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation
Marius Mosbach, Tiago Pimentel, Shauli Ravfogel et al.
Few-shot In-context Learning on Knowledge Base Question Answering
Tianle Li, Xueguang Ma, Alex Zhuang et al.
Few-shot Joint Multimodal Aspect-Sentiment Analysis Based on Generative Multimodal Prompt
Xiaocui Yang, Shi Feng, Daling Wang et al.
Few-shot Low-resource Knowledge Graph Completion with Reinforced Task Generation
Shichao Pei, Qiannan Zhang, Xiangliang Zhang
Few Shot Rationale Generation using Self-Training with Dual Teachers
Aditya Srikanth Veerubhotla, Lahari Poddar, Jun Yin et al.
Few-shot Reranking for Multi-hop QA via Language Model Prompting
Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee et al.
Few-shot Spanish-Aymara Machine Translation Using English-Aymara Lexicon
Nat Gillin, Brian Gummibaerhausen
FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning
Qinyuan Ye, Iz Beltagy, Matthew Peters et al.
FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference
Michiel de Jong, Yury Zemlyanskiy, Joshua Ainslie et al.
Fighting Bias With Bias: Promoting Model Robustness by Amplifying Dataset Biases
Yuval Reif, Roy Schwartz
Figurative Language Processing: A Linguistically Informed Feature Analysis of the Behavior of Language Models and Humans
Hyewon Jang, Qi Yu, Diego Frassinelli
FII_Better at SemEval-2023 Task 2: MultiCoNER II Multilingual Complex Named Entity Recognition
Viorica-Camelia Lupancu, Alexandru-Gabriel Platica, Cristian-Mihai Rosu et al.
FII SMART at SemEval 2023 Task7: Multi-evidence Natural Language Inference for Clinical Trial Data
Mihai Volosincu, Cosmin Lupu, Diana Trandabat et al.
Financial Numeric Extreme Labelling: A dataset and benchmarking
Soumya Sharma, Subhendu Khatuya, Manjunath Hegde et al.