Papers
Debiasing 6-DOF IMU via Hierarchical Learning of Continuous Bias Dynamics
Ben Liu, Tzu-Yuan Lin, Wei Zhang et al.
Debiasing by obfuscating with 007-classifiers promotes fairness in multi-community settings
Ingroj Shrestha, Padmini Srinivasan
Debiasing Federated Learning with Correlated Client Participation
Zhenyu Sun, ziyang zhang, Zheng Xu et al.
Debiasing Large Language Models in Thai Political Stance Detection via Counterfactual Calibration
Kasidit Sermsri, Teerapong Panboonyuen
Debiasing Mini-Batch Quadratics for Applications in Deep Learning
Lukas Tatzel, Bálint Mucsányi, Osane Hackel et al.
Debiasing Multilingual LLMs in Cross-lingual Latent Space
Qiwei Peng, Guimin Hu, Yekun Chai et al.
Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization
Zefeng Zhang, Hengzhu Tang, Jiawei Sheng et al.
Debiasing Online Preference Learning via Preference Feature Preservation
Dongyoung Kim, Jinsung Yoon, Jinwoo Shin et al.
Debiasing Static Embeddings for Hate Speech Detection
Ling Sun, Soyoung Kim, Xiao Dong et al.
Debiasing the Fine-Grained Classification Task in LLMs with Bias-Aware PEFT
Daiying Zhao, Xinyu Yang, Hang Chen
Debiasing Trace Guidance: Top-down Trace Distillation and Bottom-up Velocity Alignment for Unsupervised Anomaly Detection
Xingjian Wang, Li Chai, Jiming Chen
dEBORA: Efficient Bilevel Optimization-based low-Rank Adaptation
Emanuele Zangrando, Sara Venturini, Francesco Rinaldi et al.
Debt Collection Negotiations with Large Language Models: An Evaluation System and Optimizing Decision Making with Multi-Agent
Xiaofeng Wang, Zhixin Zhang, Jin Guang Zheng et al.
DebUnc: Improving Large Language Model Agent Communication With Uncertainty Metrics
Luke Yoffe, Alfonso Amayuelas, William Yang Wang
Debunking with Dialogue? Exploring AI-Generated Counterspeech to Challenge Conspiracy Theories
Mareike Lisker, Christina Gottschalk, Helena Mihaljević
DecAD: Decoupling Anomalies in Latent Space for Multi-Class Unsupervised Anomaly Detection
Xiaolei Wang, Xiaoyang Wang, Huihui Bai et al.
DeCaf: A Causal Decoupling Framework for OOD Generalization on Node Classification
Xiaoxue Han, Huzefa Rangwala, Yue Ning
DECAF: A Dynamically Extensible Corpus Analysis Framework
Max Müller-Eberstein, Rob Van Der Goot, Anna Rogers
DeCafNet: Delegate and Conquer for Efficient Temporal Grounding in Long Videos
Zijia Lu, A S M Iftekhar, Gaurav Mittal et al.
DeCAP: Context-Adaptive Prompt Generation for Debiasing Zero-shot Question Answering in Large Language Models
Suyoung Bae, YunSeok Choi, Jee-Hyong Lee
DECASTE: Unveiling Caste Stereotypes in Large Language Models Through Multi-Dimensional Bias Analysis
Prashanth Vijayaraghavan, Soroush Vosoughi, Lamogha Chiazor et al.
DecDEC: A Systems Approach to Advancing Low-Bit LLM Quantization
Yeonhong Park, Jake Hyun, Hojoon Kim et al.
Decentralized Aerial Manipulation of a Cable-Suspended Load Using Multi-Agent Reinforcement Learning
Jack Zeng, Andreu Matoses Gimenez, Eugene Vinitsky et al.
Decentralized and Uncoordinated Learning of Stable Matchings: A Game-Theoretic Approach
S. Rasoul Etesami, R. Srikant
Decentralized Asynchronous Optimization with DADAO allows Decoupling and Acceleration
Adel Nabli, Edouard Oyallon