Summary of A Post-training Enhanced Optimization Approach For Small Language Models, by Keke Zhai
A Post-Training Enhanced Optimization Approach for Small Language Modelsby Keke ZhaiFirst submitted to arxiv on:…
Summary of Controlling For Unobserved Confounding with Large Language Model Classification Of Patient Smoking Status, by Samuel Lee and Zach Wood-doughty
Controlling for Unobserved Confounding with Large Language Model Classification of Patient Smoking Statusby Samuel Lee,…
Summary of Teleoracle: Fine-tuned Retrieval-augmented Generation with Long-context Support For Network, by Nouf Alabbasi et al.
TeleOracle: Fine-Tuned Retrieval-Augmented Generation with Long-Context Support for Networkby Nouf Alabbasi, Omar Erak, Omar Alhussein,…
Summary of Graph-based Confidence Calibration For Large Language Models, by Yukun Li et al.
Graph-based Confidence Calibration for Large Language Modelsby Yukun Li, Sijia Wang, Lifu Huang, Li-Ping LiuFirst…
Summary of Regress, Don’t Guess — a Regression-like Loss on Number Tokens For Language Models, by Jonas Zausinger et al.
Regress, Don’t Guess – A Regression-like Loss on Number Tokens for Language Modelsby Jonas Zausinger,…
Summary of Interacting Large Language Model Agents. Interpretable Models and Social Learning, by Adit Jain et al.
Interacting Large Language Model Agents. Interpretable Models and Social Learningby Adit Jain, Vikram KrishnamurthyFirst submitted…
Summary of Attackqa: Development and Adoption Of a Dataset For Assisting Cybersecurity Operations Using Fine-tuned and Open-source Llms, by Varun Badrinath Krishna
AttackQA: Development and Adoption of a Dataset for Assisting Cybersecurity Operations using Fine-tuned and Open-Source…
Summary of Normalization Layer Per-example Gradients Are Sufficient to Predict Gradient Noise Scale in Transformers, by Gavia Gray and Aman Tiwari and Shane Bergsma and Joel Hestness
Normalization Layer Per-Example Gradients are Sufficient to Predict Gradient Noise Scale in Transformersby Gavia Gray,…
Summary of Llamo: Large Language Model-based Molecular Graph Assistant, by Jinyoung Park et al.
LLaMo: Large Language Model-based Molecular Graph Assistantby Jinyoung Park, Minseong Bae, Dohwan Ko, Hyunwoo J.…
Summary of Mess+: Energy-optimal Inferencing in Language Model Zoos with Service Level Guarantees, by Ryan Zhang et al.
MESS+: Energy-Optimal Inferencing in Language Model Zoos with Service Level Guaranteesby Ryan Zhang, Herbert Woisetschläger,…