Summary of Identifying Narrative Patterns and Outliers in Holocaust Testimonies Using Topic Modeling, by Maxim Ifergan et al.
Identifying Narrative Patterns and Outliers in Holocaust Testimonies Using Topic Modelingby Maxim Ifergan, Renana Keydar,…
Identifying Narrative Patterns and Outliers in Holocaust Testimonies Using Topic Modelingby Maxim Ifergan, Renana Keydar,…
Exploiting ChatGPT for Diagnosing Autism-Associated Language Disorders and Identifying Distinct Featuresby Chuanbo Hu, Wenqi Li,…
Leveraging Prompt-Learning for Structured Information Extraction from Crohn’s Disease Radiology Reports in a Low-Resource Languageby…
Large Language Models are Inconsistent and Biased Evaluatorsby Rickard Stureborg, Dimitris Alikaniotis, Yoshi SuharaFirst submitted…
A Survey on the Real Power of ChatGPTby Ming Liu, Ran Liu, Ye Zhu, Hua…
RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processingby Yucheng Hu,…
Adversarial Attacks and Defense for Conversation Entailment Taskby Zhenning Yang, Ryan Krawec, Liang-Yuan WuFirst submitted…
A Framework for Real-time Safeguarding the Text Generation of Large Language Modelby Ximing Dong, Dayi…
Mix of Experts Language Model for Named Entity Recognitionby Xinwei Chen, Kun Li, Tianyou Song,…
Reinforcement Learning Problem Solving with Large Language Modelsby Sina Gholamian, Domingo HuhFirst submitted to arxiv…