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Found 10 papers, 4 papers with code
Debt Collection Negotiations with Large Language Models: An Evaluation System and Optimizing Decision Making with Multi-Agent
Debt collection negotiations (DCN) are vital for managing non-performing loans (NPLs) and reducing creditor losses.
Stackelberg Game Preference Optimization for Data-Efficient Alignment of Language Models
Aligning language models with human preferences is critical for real-world deployment, but existing methods often require large amounts of high-quality human annotations.
Vision Search Assistant: Empower Vision-Language Models as Multimodal Search Engines
To address this limitation, we propose Vision Search Assistant, a novel framework that facilitates collaboration between VLMs and web agents.
CPFD: Confidence-aware Privileged Feature Distillation for Short Video Classification
To integrate both features while maintaining efficiency and manageable resource costs, we present Confidence-aware Privileged Feature Distillation (CPFD), which empowers features of an end-to-end multi-modal model by adaptively distilling privileged features during training.
InteractiveVideo: User-Centric Controllable Video Generation with Synergistic Multimodal Instructions
We introduce $\textit{InteractiveVideo}$, a user-centric framework for video generation.
Online Vectorized HD Map Construction using Geometry
In our work, we propose GeMap ($\textbf{Ge}$ometry $\textbf{Map}$), which end-to-end learns Euclidean shapes and relations of map instances beyond basic perception.
Multi-task deep learning for large-scale building detail extraction from high-resolution satellite imagery
Understanding urban dynamics and promoting sustainable development requires comprehensive insights about buildings.
Asymptotical Cooperative Cruise Fault Tolerant Control for Multiple High-speed Trains with State Constraints
Based on the estimated values of states and faults, a distributed fault tolerance controller is designed to realize asymptotical cooperative cruise control of trains under the dual constraints of ensuring both position difference and velocity difference of adjacent trains in specified ranges throughout the whole process.
TransForensics: Image Forgery Localization with Dense Self-Attention
Nowadays advanced image editing tools and technical skills produce tampered images more realistically, which can easily evade image forensic systems and make authenticity verification of images more difficult.
Rotated Feature Network for multi-orientation object detection
General detectors follow the pipeline that feature maps extracted from ConvNets are shared between classification and regression tasks.
