Papers
Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification
Chengyu Dong, Zihan Wang, Jingbo Shang
Debiasing Multimodal Models via Causal Information Minimization
Vaidehi Patil, Adyasha Maharana, Mohit Bansal
Debias NLU Datasets via Training-free Perturbations
Qi Guo, Yuanhang Tang, Yawen Ouyang et al.
Deciphering Stereotypes in Pre-Trained Language Models
Weicheng Ma, Henry Scheible, Brian Wang et al.
DecipherPref: Analyzing Influential Factors in Human Preference Judgments via GPT-4
Yebowen Hu, Kaiqiang Song, Sangwoo Cho et al.
Decoding Stumpers: Large Language Models vs. Human Problem-Solvers
Alon Goldstein, Miriam Havin, Roi Reichart et al.
Decoding the Silent Majority: Inducing Belief Augmented Social Graph with Large Language Model for Response Forecasting
Chenkai Sun, Jinning Li, Yi Fung et al.
Decomposed Prompt Tuning via Low-Rank Reparameterization
Yao Xiao, Lu Xu, Jiaxi Li et al.
Decomposing Complex Queries for Tip-of-the-tongue Retrieval
Kevin Lin, Kyle Lo, Joseph Gonzalez et al.
DecoMT: Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models
Ratish Puduppully, Anoop Kunchukuttan, Raj Dabre et al.
DeCrisisMB: Debiased Semi-Supervised Learning for Crisis Tweet Classification via Memory Bank
Henry Peng Zou, Yue Zhou, Weizhi Zhang et al.
DeepBlueAI at PragTag-2023:Ensemble-based Text Classification Approaches under Limited Data Resources
Zhipeng Luo, Jiahui Wang, Yihao Guo
Deep Metric Learning to Hierarchically Rank - An Application in Product Retrieval
Kee Kiat Koo, Ashutosh Joshi, Nishaanth Reddy et al.
Deep Natural Language Feature Learning for Interpretable Prediction
Felipe Urrutia, Cristian Calderon, Valentin Barriere
Deepparse : An Extendable, and Fine-Tunable State-Of-The-Art Library for Parsing Multinational Street Addresses
David Beauchemin, Marouane Yassine
DeepZensols: A Deep Learning Natural Language Processing Framework for Experimentation and Reproducibility
Paul Landes, Barbara Di Eugenio, Cornelia Caragea
Defining a New NLP Playground
Sha Li, Chi Han, Pengfei Yu et al.
Definitions Matter: Guiding GPT for Multi-label Classification
Youri Peskine, Damir Korenčić, Ivan Grubisic et al.
DELPHI: Data for Evaluating LLMs’ Performance in Handling Controversial Issues
David Sun, Artem Abzaliev, Hadas Kotek et al.
DeltaScore: Fine-Grained Story Evaluation with Perturbations
Zhuohan Xie, Miao Li, Trevor Cohn et al.
DelucionQA: Detecting Hallucinations in Domain-specific Question Answering
Mobashir Sadat, Zhengyu Zhou, Lukas Lange et al.
DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding
Thong Nguyen, Xiaobao Wu, Xinshuai Dong et al.
Democratizing LLMs: An Exploration of Cost-Performance Trade-offs in Self-Refined Open-Source Models
Sumuk Shashidhar, Abhinav Chinta, Vaibhav Sahai et al.
Democratizing Reasoning Ability: Tailored Learning from Large Language Model
Zhaoyang Wang, Shaohan Huang, Yuxuan Liu et al.
DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task
Guanting Dong, Tingfeng Hui, Zhuoma GongQue et al.