Papers
Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond
Zhecan Wang, Long Chen, Haoxuan You et al.
Data Similarity is Not Enough to Explain Language Model Performance
Gregory Yauney, Emily Reif, David Mimno
DebateKG – Automatic Policy Debate Case Creation with Semantic Knowledge Graphs
Allen Roush, David Mezzetti
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.