Summary of Accelerated Preference Optimization For Large Language Model Alignment, by Jiafan He et al.
Accelerated Preference Optimization for Large Language Model Alignmentby Jiafan He, Huizhuo Yuan, Quanquan GuFirst submitted…
Summary of Conformal Structured Prediction, by Botong Zhang et al.
Conformal Structured Predictionby Botong Zhang, Shuo Li, Osbert BastaniFirst submitted to arxiv on: 8 Oct…
Summary of Amortized Shap Values Via Sparse Fourier Function Approximation, by Ali Gorji et al.
Amortized SHAP values via sparse Fourier function approximationby Ali Gorji, Andisheh Amrollahi, Andreas KrauseFirst submitted…
Summary of Compositional Risk Minimization, by Divyat Mahajan et al.
Compositional Risk Minimizationby Divyat Mahajan, Mohammad Pezeshki, Charles Arnal, Ioannis Mitliagkas, Kartik Ahuja, Pascal VincentFirst…
Summary of Learning in Complex Action Spaces Without Policy Gradients, by Arash Tavakoli et al.
Learning in complex action spaces without policy gradientsby Arash Tavakoli, Sina Ghiassian, Nemanja RakićevićFirst submitted…
Summary of Bayesian Estimation and Tuning-free Rank Detection For Probability Mass Function Tensors, by Joseph K. Chege et al.
Bayesian Estimation and Tuning-Free Rank Detection for Probability Mass Function Tensorsby Joseph K. Chege, Arie…
Summary of Differentiation Through Black-box Quadratic Programming Solvers, by Connor W. Magoon et al.
Differentiation Through Black-Box Quadratic Programming Solversby Connor W. Magoon, Fengyu Yang, Noam Aigerman, Shahar Z.…
Summary of Auto-evolve: Enhancing Large Language Model’s Performance Via Self-reasoning Framework, by Krishna Aswani et al.
Auto-Evolve: Enhancing Large Language Model’s Performance via Self-Reasoning Frameworkby Krishna Aswani, Huilin Lu, Pranav Patankar,…
Summary of Locate-then-edit For Multi-hop Factual Recall Under Knowledge Editing, by Zhuoran Zhang et al.
Locate-then-edit for Multi-hop Factual Recall under Knowledge Editingby Zhuoran Zhang, Yongxiang Li, Zijian Kan, Keyuan…
Summary of Filtered Randomized Smoothing: a New Defense For Robust Modulation Classification, by Wenhan Zhang et al.
Filtered Randomized Smoothing: A New Defense for Robust Modulation Classificationby Wenhan Zhang, Meiyu Zhong, Ravi…