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Found 4 papers, 2 papers with code
Context-DPO: Aligning Language Models for Context-Faithfulness
Reliable responses from large language models (LLMs) require adherence to user instructions and retrieved information.
Eliminating Ratio Bias for Gradient-based Simulated Parameter Estimation
This article addresses the challenge of parameter calibration in stochastic models where the likelihood function is not analytically available.
Dual-Agent Deep Reinforcement Learning for Dynamic Pricing and Replenishment
We study the dynamic pricing and replenishment problems under inconsistent decision frequencies.
WaveNet: Wave-Aware Image Enhancement
In this paper, we formulate the enhancement into a signal modulation problem and propose the WaveNet architecture, which performs well in various parameters and improves the feature expression using wave-like feature representation.
Ranked #7 on
Low-Light Image Enhancement
on LOL
