Papers
DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection
Herun Wan, Shangbin Feng, Zhaoxuan Tan et al.
Deloitte at #SMM4H 2024: Can GPT-4 Detect COVID-19 Tweets Annotated by Itself?
Harika Abburi, Nirmala Pudota, Balaji Veeramani et al.
Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts
Xuan-Phi Nguyen, Mahani Aljunied, Shafiq Joty et al.
Demonstration Augmentation for Zero-shot In-context Learning
Yi Su, Yunpeng Tai, Yixin Ji et al.
Demonstrations Are All You Need: Advancing Offensive Content Paraphrasing using In-Context Learning
Anirudh Som, Karan Sikka, Helen Gent et al.
Demystifying Instruction Mixing for Fine-tuning Large Language Models
Renxi Wang, Haonan Li, Minghao Wu et al.
Dependency Transformer Grammars: Integrating Dependency Structures into Transformer Language Models
Yida Zhao, Chao Lou, Kewei Tu
Description Boosting for Zero-Shot Entity and Relation Classification
Gabriele Picco, Leopold Fuchs, Marcos Martínez Galindo et al.
Designing Informative Metrics for Few-Shot Example Selection
Rishabh Adiga, Lakshmi Subramanian, Varun Chandrasekaran
Design Proteins Using Large Language Models: Enhancements and Comparative Analyses
Kamyar Zeinalipour, Neda Jamshidi, Monica Bianchini et al.
Detecting and Mitigating LGBTQIA+ Bias in Large Norwegian Language Models
Selma Bergstrand, Björn Gambäck
Detecting Gender Discrimination on Actor Level Using Linguistic Discourse Analysis
Stefanie Urchs, Veronika Thurner, Matthias Aßenmacher et al.
Detecting Narrative Patterns in Biblical Hebrew and Greek
Hope McGovern, Hale Sirin, Tom Lippincott et al.
Detecting Scientific Fraud Using Argument Mining
Gabriel Freedman, Francesca Toni
Detection and Positive Reconstruction of Cognitive Distortion Sentences: Mandarin Dataset and Evaluation
Shuya Lin, Yuxiong Wang, Jonathan Dong et al.
Deterministic Reversible Data Augmentation for Neural Machine Translation
Jiashu Yao, Heyan Huang, Zeming Liu et al.
DetermLR: Augmenting LLM-based Logical Reasoning from Indeterminacy to Determinacy
Hongda Sun, Weikai Xu, Wei Liu et al.
Detoxifying Large Language Models via Knowledge Editing
Mengru Wang, Ningyu Zhang, Ziwen Xu et al.
DeVAn: Dense Video Annotation for Video-Language Models
Tingkai Liu, Yunzhe Tao, Haogeng Liu et al.
Developing PUGG for Polish: A Modern Approach to KBQA, MRC, and IR Dataset Construction
Albert Sawczyn, Katsiaryna Viarenich, Konrad Wojtasik et al.
DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories
Jia Li, Ge Li, Yunfei Zhao et al.
DFKI-MLST at DialAM-2024 Shared Task: System Description
Arne Binder, Tatiana Anikina, Leonhard Hennig et al.
DIALECTBENCH: An NLP Benchmark for Dialects, Varieties, and Closely-Related Languages
Fahim Faisal, Orevaoghene Ahia, Aarohi Srivastava et al.