Papers
176,624 papers found
Debate-to-Detect: Reformulating Misinformation Detection as a Real-World Debate with Large Language Models
Chen Han, Wenzhen Zheng, Xijin Tang
Debate-to-Write: A Persona-Driven Multi-Agent Framework for Diverse Argument Generation
Zhe Hu, Hou Pong Chan, Jing Li et al.
DEBATE, TRAIN, EVOLVE: Self‐Evolution of Language Model Reasoning
Gaurav Srivastava, Zhenyu Bi, Meng Lu et al.
Debating for Better Reasoning in Vision-Language Models
Ashutosh Adhikari, Mirella Lapata
Debiased Active Learning with Variational Gradient Rectifier
Weiguo Chen, Changjian Wang, Shijun Li et al.
Debiased All-in-one Image Restoration with Task Uncertainty Regularization
Gang Wu, Junjun Jiang, Yijun Wang et al.
Debiased Curriculum Adaptation for Safe Transfer Learning in Chest X-ray Classification
Mingyang Liu, Xinyang Chen, Yang Shu et al.
Debiased Distillation for Consistency Regularization
Lu Wang, Liuchi Xu, Xiong Yang et al.
Debiased Multimodal Understanding for Human Language Sequences
Zhi Xu, Dingkang Yang, Mingcheng Li et al.
Debiased Teacher for Day-to-Night Domain Adaptive Object Detection
Yiming Cui, Liang Li, Haibing Yin et al.
Debiasify: Self-Distillation for Unsupervised Bias Mitigation
Nourhan Bayasi, Jamil Fayyad, Ghassan Hamarneh et al.
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 Large Language Models in Thai Political Stance Detection via Counterfactual Calibration
Kasidit Sermsri, Teerapong Panboonyuen
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
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 Dynamically Extensible Corpus Analysis Framework
Max Müller-Eberstein, Rob Van Der Goot, Anna Rogers