Summary of Medical Concept Normalization in a Low-resource Setting, by Tim Patzelt
Medical Concept Normalization in a Low-Resource Settingby Tim PatzeltFirst submitted to arxiv on: 6 Sep…
Summary of On Importance Of Pruning and Distillation For Efficient Low Resource Nlp, by Aishwarya Mirashi et al.
On Importance of Pruning and Distillation for Efficient Low Resource NLPby Aishwarya Mirashi, Purva Lingayat,…
Summary of One-shot World Models Using a Transformer Trained on a Synthetic Prior, by Fabio Ferreira and Moreno Schlageter and Raghu Rajan and Andre Biedenkapp and Frank Hutter
One-shot World Models Using a Transformer Trained on a Synthetic Priorby Fabio Ferreira, Moreno Schlageter,…
Summary of Unlocking Memorization in Large Language Models with Dynamic Soft Prompting, by Zhepeng Wang et al.
Unlocking Memorization in Large Language Models with Dynamic Soft Promptingby Zhepeng Wang, Runxue Bao, Yawen…
Summary of You Can Remove Gpt2’s Layernorm by Fine-tuning, By Stefan Heimersheim
You can remove GPT2’s LayerNorm by fine-tuningby Stefan HeimersheimFirst submitted to arxiv on: 6 Sep…
Summary of Prithvi Wxc: Foundation Model For Weather and Climate, by Johannes Schmude et al.
Prithvi WxC: Foundation Model for Weather and Climateby Johannes Schmude, Sujit Roy, Will Trojak, Johannes…
Summary of Convlstmtransnet: a Hybrid Deep Learning Approach For Internet Traffic Telemetry, by Sajal Saha et al.
ConvLSTMTransNet: A Hybrid Deep Learning Approach for Internet Traffic Telemetryby Sajal Saha, Saikat Das, Glaucio…
Summary of Introducing the Large Medical Model: State Of the Art Healthcare Cost and Risk Prediction with Transformers Trained on Patient Event Sequences, by Ricky Sahu et al.
Introducing the Large Medical Model: State of the art healthcare cost and risk prediction with…
Summary of Taco-rl: Task Aware Prompt Compression Optimization with Reinforcement Learning, by Shivam Shandilya et al.
TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learningby Shivam Shandilya, Menglin Xia, Supriyo Ghosh,…
Summary of Contrastive Learning and Mixture Of Experts Enables Precise Vector Embeddings, by Logan Hallee et al.
Contrastive Learning and Mixture of Experts Enables Precise Vector Embeddingsby Logan Hallee, Rohan Kapur, Arjun…