Papers
DDJND: Dual Domain Just Noticeable Difference in Multi-Source Content Images with Structural Discrepancy
Miaohui Wang, Zhenming Li, Wuyuan Xie
DDO: Dual-Decision Optimization for LLM-Based Medical Consultation via Multi-Agent Collaboration
Zhihao Jia, Mingyi Jia, Junwen Duan et al.
DDPA-3DVG: Vision-Language Dual-Decoupling and Progressive Alignment for 3D Visual Grounding
Hongjie Gu, Jinlong Fan, Liang Zheng et al.
DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Remote Sensing Change Detection
Wele Gedara Chaminda Bandara, Nithin Gopalakrishnan Nair, Vishal Patel
DDS: Decoupled Dynamic Scene-Graph Generation Network
A S M Iftekhar, Raphael Ruschel, Satish Kumar et al.
DDxTutor: Clinical Reasoning Tutoring System with Differential Diagnosis-Based Structured Reasoning
Qian Wu, Zheyao Gao, Longfei Gou et al.
De^2Gaze: Deformable and Decoupled Representation Learning for 3D Gaze Estimation
Yunfeng Xiao, Xiaowei Bai, Baojun Chen et al.
DEAL: Data-Efficient Adversarial Learning for High-Quality Infrared Imaging
Zhu Liu, Zijun Wang, Jinyuan Liu et al.
DeAL: Decoding-time Alignment for Large Language Models
James Y. Huang, Sailik Sengupta, Daniele Bonadiman et al.
DeAR: Dual-Stage Document Reranking with Reasoning Agents via LLM Distillation
Abdelrahman Abdallah, Jamshid Mozafari, Bhawna Piryani et al.
DearLLM: Enhancing Personalized Healthcare via Large Language Models-Deduced Feature Correlations
Yongxin Xu, Xinke Jiang, Xu Chu et al.
DebArgVis: An Interactive Visualisation Tool for Exploring Argumentative Dynamics in Debate
Martin Gruber, Zlata Kikteva, Ignaz Rutter et al.
Debatable Intelligence: Benchmarking LLM Judges via Debate Speech Evaluation
Noy Sternlicht, Ariel Gera, Roy Bar-Haim et al.
Debate4MATH: Multi-Agent Debate for Fine-Grained Reasoning in Math
Shaowei Zhang, Deyi Xiong
DebateCoder: Towards Collective Intelligence of LLMs via Test Case Driven LLM Debate for Code Generation
Jizheng Chen, Kounianhua Du, Xinyi Dai et al.
Debate-Feedback: A Multi-Agent Framework for Efficient Legal Judgment Prediction
Xi Chen, Mao Mao, Shuo Li et al.
Debate Helps Weak-to-Strong Generalization
Hao Lang, Fei Huang, Yongbin Li
Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models
Jie Ma, Zhitao Gao, Qi Chai et al.
Debate, Reflect, and Distill: Multi-Agent Feedback with Tree-Structured Preference Optimization for Efficient Language Model Enhancement
Xiaofeng Zhou, Heyan Huang, Lizi Liao
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.