Papers
Feature Interactions Reveal Linguistic Structure in Language Models
Jaap Jumelet, Willem Zuidema
Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets
Rui Wang, Tong Yu, Junda Wu et al.
Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms
Tianshu Zhang, Changchang Liu, Wei-Han Lee et al.
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