Summary of Sharp Analysis For Kl-regularized Contextual Bandits and Rlhf, by Heyang Zhao and Chenlu Ye and Quanquan Gu and Tong Zhang
Sharp Analysis for KL-Regularized Contextual Bandits and RLHFby Heyang Zhao, Chenlu Ye, Quanquan Gu, Tong…
Sharp Analysis for KL-Regularized Contextual Bandits and RLHFby Heyang Zhao, Chenlu Ye, Quanquan Gu, Tong…
wav2sleep: A Unified Multi-Modal Approach to Sleep Stage Classification from Physiological Signalsby Jonathan F. Carter,…
DISCO: DISCovering Overfittings as Causal Rules for Text Classification Modelsby Zijian Zhang, Vinay Setty, Yumeng…
Robust and Efficient Fine-tuning of LLMs with Bayesian Reparameterization of Low-Rank Adaptationby Ayan Sengupta, Vaibhav…
ComFairGNN: Community Fair Graph Neural Networkby Yonas Sium, Qi LiFirst submitted to arxiv on: 7…
Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imagingby Rui Luo, Jie…
Benchmarking Large Language Models with Integer Sequence Generation Tasksby Daniel O'Malley, Manish Bhattarai, Javier SantosFirst…
Neuro-Symbolic AI: Explainability, Challenges, and Future Trendsby Xin Zhang, Victor S. ShengFirst submitted to arxiv…
TrajGPT: Controlled Synthetic Trajectory Generation Using a Multitask Transformer-Based Spatiotemporal Modelby Shang-Ling Hsu, Emmanuel Tung,…
Bridging the Gap: Representation Spaces in Neuro-Symbolic AIby Xin Zhang, Victor S.ShengFirst submitted to arxiv…