Summary of Personalized Interpretation on Federated Learning: a Virtual Concepts Approach, by Peng Yan et al.
Personalized Interpretation on Federated Learning: A Virtual Concepts approachby Peng Yan, Guodong Long, Jing Jiang,…
Summary of Stochastic Zeroth-order Optimization Under Strongly Convexity and Lipschitz Hessian: Minimax Sample Complexity, by Qian Yu et al.
Stochastic Zeroth-Order Optimization under Strongly Convexity and Lipschitz Hessian: Minimax Sample Complexityby Qian Yu, Yining…
Summary of Contrastive Policy Gradient: Aligning Llms on Sequence-level Scores in a Supervised-friendly Fashion, by Yannis Flet-berliac et al.
Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashionby Yannis Flet-Berliac, Nathan…
Summary of Length Optimization in Conformal Prediction, by Shayan Kiyani et al.
Length Optimization in Conformal Predictionby Shayan Kiyani, George Pappas, Hamed HassaniFirst submitted to arxiv on:…
Summary of Lico: Large Language Models For In-context Molecular Optimization, by Tung Nguyen and Aditya Grover
LICO: Large Language Models for In-Context Molecular Optimizationby Tung Nguyen, Aditya GroverFirst submitted to arxiv…
Summary of Alignment For Performance Improvement in Conversation Bots, by Raghav Garg et al.
Alignment For Performance Improvement in Conversation Botsby Raghav Garg, Kapil Sharma, Shrey SinglaFirst submitted to…
Summary of The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm, by Aakanksha et al.
The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harmby Aakanksha, Arash Ahmadian,…
Summary of Learning to Correct For Qa Reasoning with Black-box Llms, by Jaehyung Kim et al.
Learning to Correct for QA Reasoning with Black-box LLMsby Jaehyung Kim, Dongyoung Kim, Yiming YangFirst…
Summary of Fast Optimizer Benchmark, by Simon Blauth et al.
Fast Optimizer Benchmarkby Simon Blauth, Tobias Bürger, Zacharias Häringer, Jörg Franke, Frank HutterFirst submitted to…
Summary of Ado-llm: Analog Design Bayesian Optimization with In-context Learning Of Large Language Models, by Yuxuan Yin et al.
ADO-LLM: Analog Design Bayesian Optimization with In-Context Learning of Large Language Modelsby Yuxuan Yin, Yu…