Summary of Large Language Models As Evolution Strategies, by Robert Tjarko Lange et al.
Large Language Models As Evolution Strategiesby Robert Tjarko Lange, Yingtao Tian, Yujin TangFirst submitted to…
Summary of Can Gpt Improve the State Of Prior Authorization Via Guideline Based Automated Question Answering?, by Shubham Vatsal et al.
Can GPT Improve the State of Prior Authorization via Guideline Based Automated Question Answering?by Shubham…
Summary of Foundation Policies with Hilbert Representations, by Seohong Park et al.
Foundation Policies with Hilbert Representationsby Seohong Park, Tobias Kreiman, Sergey LevineFirst submitted to arxiv on:…
Summary of Causal Graph Discovery with Retrieval-augmented Generation Based Large Language Models, by Yuzhe Zhang et al.
Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Modelsby Yuzhe Zhang, Yipeng Zhang, Yidong…
Summary of Fine-tuning Large Language Models For Domain-specific Machine Translation, by Jiawei Zheng et al.
Fine-tuning Large Language Models for Domain-specific Machine Translationby Jiawei Zheng, Hanghai Hong, Feiyan Liu, Xiaoli…
Summary of An Empirical Categorization Of Prompting Techniques For Large Language Models: a Practitioner’s Guide, by Oluwole Fagbohun et al.
An Empirical Categorization of Prompting Techniques for Large Language Models: A Practitioner’s Guideby Oluwole Fagbohun,…
Summary of Distillation Contrastive Decoding: Improving Llms Reasoning with Contrastive Decoding and Distillation, by Phuc Phan et al.
Distillation Contrastive Decoding: Improving LLMs Reasoning with Contrastive Decoding and Distillationby Phuc Phan, Hieu Tran,…
Summary of What’s in a Name? Auditing Large Language Models For Race and Gender Bias, by Alejandro Salinas et al.
What’s in a Name? Auditing Large Language Models for Race and Gender Biasby Alejandro Salinas,…
Summary of Q-probe: a Lightweight Approach to Reward Maximization For Language Models, by Kenneth Li et al.
Q-Probe: A Lightweight Approach to Reward Maximization for Language Modelsby Kenneth Li, Samy Jelassi, Hugh…
Summary of Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break-even Performance, by Branislav Pecher et al.
Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to…