Papers
Findings of the AmericasNLP 2024 Shared Task on the Creation of Educational Materials for Indigenous Languages
Luis Chiruzzo, Pavel Denisov, Alejandro Molina-Villegas et al.
Fine-grained Gender Control in Machine Translation with Large Language Models
Minwoo Lee, Hyukhun Koh, Minsung Kim et al.
Fine-tuning Language Models for AI vs Human Generated Text detection
Sankalp Bahad, Yash Bhaskar, Parameswari Krishnamurthy
Fine-Tuning Language Models with Reward Learning on Policy
Hao Lang, Fei Huang, Yongbin Li
Fine-tuning Pre-trained Named Entity Recognition Models For Indian Languages
Sankalp Bahad, Pruthwik Mishra, Parameswari Krishnamurthy et al.
FIRE: A Dataset for Financial Relation Extraction
Hassan Hamad, Abhinav Kumar Thakur, Nijil Kolleri et al.
Fired_from_NLP at SemEval-2024 Task 1: Towards Developing Semantic Textual Relatedness Predictor - A Transformer-based Approach
Anik Mahmud Shanto, Md. Sajid Alam Chowdhury, Mostak Mahmud Chowdhury et al.
First Tragedy, then Parse: History Repeats Itself in the New Era of Large Language Models
Naomi Saphra, Eve Fleisig, Kyunghyun Cho et al.
Fixing Rogue Memorization in Many-to-One Multilingual Translators of Extremely-Low-Resource Languages by Rephrasing Training Samples
Paulo Cavalin, Pedro Henrique Domingues, Claudio Pinhanez et al.
Flames: Benchmarking Value Alignment of LLMs in Chinese
Kexin Huang, Xiangyang Liu, Qianyu Guo et al.
FLAP: Flow-Adhering Planning with Constrained Decoding in LLMs
Shamik Roy, Sailik Sengupta, Daniele Bonadiman et al.
Flatness-Aware Gradient Descent for Safe Conversational AI
Leila Khalatbari, Saeid Hosseini, Hossein Sameti et al.
F-MALLOC: Feed-forward Memory Allocation for Continual Learning in Neural Machine Translation
Junhong Wu, Yuchen Liu, Chengqing Zong
Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language Models
Raphael Tang, Crystina Zhang, Xueguang Ma et al.
FPT: Feature Prompt Tuning for Few-shot Readability Assessment
Ziyang Wang, Sanwoo Lee, Hsiu-Yuan Huang et al.
FREB-TQA: A Fine-Grained Robustness Evaluation Benchmark for Table Question Answering
Wei Zhou, Mohsen Mesgar, Heike Adel et al.
From Field Linguistics to NLP: Creating a curated dataset in Amuzgo language
Antonio Reyes, Hamlet Antonio García
From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning
Xuansheng Wu, Wenlin Yao, Jianshu Chen et al.
From Languages to Geographies: Towards Evaluating Cultural Bias in Hate Speech Datasets
Manuel Tonneau, Diyi Liu, Samuel Fraiberger et al.
From Linguistics to Practice: a Case Study of Offensive Language Taxonomy in Hebrew
Chaya Liebeskind, Marina Litvak, Natalia Vanetik
From Miscue to Evidence of Difficulty: Analysis of Automatically Detected Miscues in Oral Reading for Feedback Potential
Beata Beigman Klebanov, Michael Suhan, Tenaha O’Reilly et al.
From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning
Ming Li, Yong Zhang, Zhitao Li et al.
From Shortcuts to Triggers: Backdoor Defense with Denoised PoE
Qin Liu, Fei Wang, Chaowei Xiao et al.
From Text to Context: Contextualizing Language with Humans, Groups, and Communities for Socially Aware NLP
Adithya V Ganesan, Siddharth Mangalik, Vasudha Varadarajan et al.