Summary of Alignment with Preference Optimization Is All You Need For Llm Safety, by Reda Alami et al.
Alignment with Preference Optimization Is All You Need for LLM Safetyby Reda Alami, Ali Khalifa…
Summary of Convergence Of Continuous-time Stochastic Gradient Descent with Applications to Linear Deep Neural Networks, by Gabor Lugosi and Eulalia Nualart
Convergence of continuous-time stochastic gradient descent with applications to linear deep neural networksby Gabor Lugosi,…
Summary of Combined Optimization Of Dynamics and Assimilation with End-to-end Learning on Sparse Observations, by Vadim Zinchenko and David S. Greenberg
Combined Optimization of Dynamics and Assimilation with End-to-End Learning on Sparse Observationsby Vadim Zinchenko, David…
Summary of Applying Multi-fidelity Bayesian Optimization in Chemistry: Open Challenges and Major Considerations, by Edmund Judge et al.
Applying Multi-Fidelity Bayesian Optimization in Chemistry: Open Challenges and Major Considerationsby Edmund Judge, Mohammed Azzouzi,…
Summary of Policy Filtration in Rlhf to Fine-tune Llm For Code Generation, by Wei Shen et al.
Policy Filtration in RLHF to Fine-Tune LLM for Code Generationby Wei Shen, Chuheng ZhangFirst submitted…
Summary of What Is the Right Notion Of Distance Between Predict-then-optimize Tasks?, by Paula Rodriguez-diaz et al.
What is the Right Notion of Distance between Predict-then-Optimize Tasks?by Paula Rodriguez-Diaz, Lingkai Kong, Kai…
Summary of Applied Federated Model Personalisation in the Industrial Domain: a Comparative Study, by Ilias Siniosoglou et al.
Applied Federated Model Personalisation in the Industrial Domain: A Comparative Studyby Ilias Siniosoglou, Vasileios Argyriou,…
Summary of Dynamic Decoupling Of Placid Terminal Attractor-based Gradient Descent Algorithm, by Jinwei Zhao (1) et al.
Dynamic Decoupling of Placid Terminal Attractor-based Gradient Descent Algorithmby Jinwei Zhao, Marco Gori, Alessandro Betti,…
Summary of Geometric-averaged Preference Optimization For Soft Preference Labels, by Hiroki Furuta et al.
Geometric-Averaged Preference Optimization for Soft Preference Labelsby Hiroki Furuta, Kuang-Huei Lee, Shixiang Shane Gu, Yutaka…
Summary of Rate-constrained Quantization For Communication-efficient Federated Learning, by Shayan Mohajer Hamidi et al.
Rate-Constrained Quantization for Communication-Efficient Federated Learningby Shayan Mohajer Hamidi, Ali BereyhiFirst submitted to arxiv on:…