Papers
CTYUN-AI@SMM4H-2024: Knowledge Extension Makes Expert Models
Yuming Fan, Dongming Yang, Lina Cao
CUET_sstm at ArAIEval Shared Task: Unimodal (Text) Propagandistic Technique Detection Using Transformer-Based Model
Momtazul Labib, Samia Rahman, Hasan Murad et al.
CuReD: Deep Learning Optical Character Recognition for Cuneiform Text Editions and Legacy Materials
Shai Gordin, Morris Alper, Avital Romach et al.
Curriculum Learning for Small Code Language Models
Marwa Naïr, Kamel Yamani, Lynda Lhadj et al.
Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models
Zhuoran Jin, Pengfei Cao, Hongbang Yuan et al.
CycleAlign: Iterative Distillation from Black-box LLM to White-box Models for Better Human Alignment
Jixiang Hong, Quan Tu, Changyu Chen et al.
Cyclical Contrastive Learning Based on Geodesic for Zero-shot Cross-lingual Spoken Language Understanding
Xuxin Cheng, Zhihong Zhu, Bang Yang et al.
D2LLM: Decomposed and Distilled Large Language Models for Semantic Search
Zihan Liao, Hang Yu, Jianguo Li et al.
DADA: Distribution-Aware Domain Adaptation of PLMs for Information Retrieval
Dohyeon Lee, Jongyoon Kim, Seung-won Hwang et al.
DAFNet: Dynamic Auxiliary Fusion for Sequential Model Editing in Large Language Models
Taolin Zhang, Qizhou Chen, Dongyang Li et al.
Daily auditory environments in French-speaking infants: A longitudinal dataset
Estelle Hervé, Clément François, Laurent Prevot
Dallah: A Dialect-Aware Multimodal Large Language Model for Arabic
Fakhraddin Alwajih, Gagan Bhatia, Muhammad Abdul-Mageed
DAPR: A Benchmark on Document-Aware Passage Retrieval
Kexin Wang, Nils Reimers, Iryna Gurevych
DARA: Decomposition-Alignment-Reasoning Autonomous Language Agent for Question Answering over Knowledge Graphs
Haishuo Fang, Xiaodan Zhu, Iryna Gurevych
Data Augmentation for Speech-Based Diacritic Restoration
Sara Shatnawi, Sawsan Alqahtani, Shady Shehata et al.
Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges
Bosheng Ding, Chengwei Qin, Ruochen Zhao et al.
Data-Centric Explainable Debiasing for Improving Fairness in Pre-trained Language Models
Yingji Li, Mengnan Du, Rui Song et al.
Data Contamination Calibration for Black-box LLMs
Wentao Ye, Jiaqi Hu, Liyao Li et al.
Data Contamination Report from the 2024 CONDA Shared Task
Oscar Sainz, Iker García-Ferrero, Alon Jacovi et al.
DATA-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning
Yingqian Min, Kun Zhou, Dawei Gao et al.
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows
Ajay Patel, Colin Raffel, Chris Callison-Burch
Dataflow-Guided Retrieval Augmentation for Repository-Level Code Completion
Wei Cheng, Yuhan Wu, Wei Hu