Summary of Improving Agent Behaviors with Rl Fine-tuning For Autonomous Driving, by Zhenghao Peng et al.
Improving Agent Behaviors with RL Fine-tuning for Autonomous Drivingby Zhenghao Peng, Wenjie Luo, Yiren Lu,…
Improving Agent Behaviors with RL Fine-tuning for Autonomous Drivingby Zhenghao Peng, Wenjie Luo, Yiren Lu,…
Inference-Time Language Model Alignment via Integrated Value Guidanceby Zhixuan Liu, Zhanhui Zhou, Yuanfu Wang, Chao…
Transferring disentangled representations: bridging the gap between synthetic and real imagesby Jacopo Dapueto, Nicoletta Noceti,…
Triple Point Maskingby Jiaming Liu, Linghe Kong, Yue Wu, Maoguo Gong, Hao Li, Qiguang Miao,…
CleanerCLIP: Fine-grained Counterfactual Semantic Augmentation for Backdoor Defense in Contrastive Learningby Yuan Xun, Siyuan Liang,…
P4Q: Learning to Prompt for Quantization in Visual-language Modelsby Huixin Sun, Runqi Wang, Yanjing Li,…
From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflectionby Xinlei…
GeoBiked: A Dataset with Geometric Features and Automated Labeling Techniques to Enable Deep Generative Models…
Cross-Domain Content Generation with Domain-Specific Small Language Modelsby Ankit Maloo, Abhinav GargFirst submitted to arxiv…
Block Expanded DINORET: Adapting Natural Domain Foundation Models for Retinal Imaging Without Catastrophic Forgettingby Jay…