Summary of On the Global Convergence Of Online Rlhf with Neural Parametrization, by Mudit Gaur et al.
On The Global Convergence Of Online RLHF With Neural Parametrizationby Mudit Gaur, Amrit Singh Bedi,…
Summary of Mitigating Forgetting in Llm Supervised Fine-tuning and Preference Learning, by Heshan Fernando et al.
Mitigating Forgetting in LLM Supervised Fine-Tuning and Preference Learningby Heshan Fernando, Han Shen, Parikshit Ram,…
Summary of On Designing Effective Rl Reward at Training Time For Llm Reasoning, by Jiaxuan Gao et al.
On Designing Effective RL Reward at Training Time for LLM Reasoningby Jiaxuan Gao, Shusheng Xu,…
Summary of Weakly-supervised Diagnosis Identification From Italian Discharge Letters, by Vittorio Torri et al.
Weakly-supervised diagnosis identification from Italian discharge lettersby Vittorio Torri, Elisa Barbieri, Anna Cantarutti, Carlo Giaquinto,…
Summary of Baichuan Alignment Technical Report, by Mingan Lin et al.
Baichuan Alignment Technical Reportby Mingan Lin, Fan Yang, Yanjun Shen, Haoze Sun, Tianpeng Li, Tao…
Summary of Large Language Models Are Overparameterized Text Encoders, by Thennal D K et al.
Large Language Models Are Overparameterized Text Encodersby Thennal D K, Tim Fischer, Chris BiemannFirst submitted…
Summary of Electrocardiogram-language Model For Few-shot Question Answering with Meta Learning, by Jialu Tang et al.
Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learningby Jialu Tang, Tong Xia, Yuan Lu,…
Summary of G-neurodavis: a Neural Network Model For Generalized Embedding, Data Visualization and Sample Generation, by Chayan Maitra and Rajat K. De
G-NeuroDAVIS: A Neural Network model for generalized embedding, data visualization and sample generationby Chayan Maitra,…
Summary of Razor: Refining Accuracy by Zeroing Out Redundancies, By Daniel Riccio et al.
RAZOR: Refining Accuracy by Zeroing Out Redundanciesby Daniel Riccio, Genoveffa Tortora, Mara SangiovanniFirst submitted to…
Summary of A Statistical Machine Learning Approach For Adapting Reduced-order Models Using Projected Gaussian Process, by Xiao Liu and Xinchao Liu
A Statistical Machine Learning Approach for Adapting Reduced-Order Models using Projected Gaussian Processby Xiao Liu,…