Summary of Echoatt: Attend, Copy, Then Adjust For More Efficient Large Language Models, by Hossein Rajabzadeh et al.
EchoAtt: Attend, Copy, then Adjust for More Efficient Large Language Modelsby Hossein Rajabzadeh, Aref Jafari,…
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 Sparse Low-ranked Self-attention Transformer For Remaining Useful Lifetime Prediction Of Optical Fiber Amplifiers, by Dominic Schneider et al.
Sparse Low-Ranked Self-Attention Transformer for Remaining Useful Lifetime Prediction of Optical Fiber Amplifiersby Dominic Schneider,…
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,…