Summary of Aligning Large Language Models Via Fine-grained Supervision, by Dehong Xu et al.
Aligning Large Language Models via Fine-grained Supervisionby Dehong Xu, Liang Qiu, Minseok Kim, Faisal Ladhak,…
Summary of Gated Recurrent Neural Network with Tpe Bayesian Optimization For Enhancing Stock Index Prediction Accuracy, by Bivas Dinda
Gated recurrent neural network with TPE Bayesian optimization for enhancing stock index prediction accuracyby Bivas…
Summary of Acco: Accumulate While You Communicate, Hiding Communications in Distributed Llm Training, by Adel Nabli (mlia et al.
ACCO: Accumulate while you Communicate, Hiding Communications in Distributed LLM Trainingby Adel Nabli, Louis Fournier,…
Summary of Are Ppo-ed Language Models Hackable?, by Suraj Anand and David Getzen
Are PPO-ed Language Models Hackable?by Suraj Anand, David GetzenFirst submitted to arxiv on: 28 May…
Summary of Constrained or Unconstrained? Neural-network-based Equation Discovery From Data, by Grant Norman et al.
Constrained or Unconstrained? Neural-Network-Based Equation Discovery from Databy Grant Norman, Jacqueline Wentz, Hemanth Kolla, Kurt…
Summary of System-aware Neural Ode Processes For Few-shot Bayesian Optimization, by Jixiang Qing et al.
System-Aware Neural ODE Processes for Few-Shot Bayesian Optimizationby Jixiang Qing, Becky D Langdon, Robert M…
Summary of Learning-rate-free Stochastic Optimization Over Riemannian Manifolds, by Daniel Dodd et al.
Learning-Rate-Free Stochastic Optimization over Riemannian Manifoldsby Daniel Dodd, Louis Sharrock, Christopher NemethFirst submitted to arxiv…
Summary of Cluster-aware Similarity Diffusion For Instance Retrieval, by Jifei Luo et al.
Cluster-Aware Similarity Diffusion for Instance Retrievalby Jifei Luo, Hantao Yao, Changsheng XuFirst submitted to arxiv…
Summary of On the Limitations Of Fractal Dimension As a Measure Of Generalization, by Charlie B. Tan et al.
On the Limitations of Fractal Dimension as a Measure of Generalizationby Charlie B. Tan, Inés…
Summary of Bayesian Mesh Optimization For Graph Neural Networks to Enhance Engineering Performance Prediction, by Jangseop Park and Namwoo Kang
Bayesian Mesh Optimization for Graph Neural Networks to Enhance Engineering Performance Predictionby Jangseop Park, Namwoo…