Summary of Large Language Models For Biomedical Text Simplification: Promising but Not There Yet, by Zihao Li et al.
Large Language Models for Biomedical Text Simplification: Promising But Not There Yetby Zihao Li, Samuel…
Summary of Digital Avatars: Framework Development and Their Evaluation, by Timothy Rupprecht et al.
Digital Avatars: Framework Development and Their Evaluationby Timothy Rupprecht, Sung-En Chang, Yushu Wu, Lei Lu,…
Summary of Can Rule-based Insights Enhance Llms For Radiology Report Classification? Introducing the Radprompt Methodology, by Panagiotis Fytas et al.
Can Rule-Based Insights Enhance LLMs for Radiology Report Classification? Introducing the RadPrompt Methodologyby Panagiotis Fytas,…
Summary of Unveiling Factual Recall Behaviors Of Large Language Models Through Knowledge Neurons, by Yifei Wang et al.
Unveiling Factual Recall Behaviors of Large Language Models through Knowledge Neuronsby Yifei Wang, Yuheng Chen,…
Summary of Training Llms to Recognize Hedges in Spontaneous Narratives, by Amie J. Paige et al.
Training LLMs to Recognize Hedges in Spontaneous Narrativesby Amie J. Paige, Adil Soubki, John Murzaku,…
Summary of Natlan: Native Language Prompting Facilitates Knowledge Elicitation Through Language Trigger Provision and Domain Trigger Retention, by Baixuan Li et al.
NatLan: Native Language Prompting Facilitates Knowledge Elicitation Through Language Trigger Provision and Domain Trigger Retentionby…
Summary of Operationalizing Contextual Integrity in Privacy-conscious Assistants, by Sahra Ghalebikesabi et al.
Operationalizing Contextual Integrity in Privacy-Conscious Assistantsby Sahra Ghalebikesabi, Eugene Bagdasaryan, Ren Yi, Itay Yona, Ilia…
Summary of Progressively Label Enhancement For Large Language Model Alignment, by Biao Liu et al.
Progressively Label Enhancement for Large Language Model Alignmentby Biao Liu, Ning Xu, Xin GengFirst submitted…
Summary of Ml-eat: a Multilevel Embedding Association Test For Interpretable and Transparent Social Science, by Robert Wolfe et al.
ML-EAT: A Multilevel Embedding Association Test for Interpretable and Transparent Social Scienceby Robert Wolfe, Alexis…
Summary of Dissecting Dissonance: Benchmarking Large Multimodal Models Against Self-contradictory Instructions, by Jin Gao et al.
Dissecting Dissonance: Benchmarking Large Multimodal Models Against Self-Contradictory Instructionsby Jin Gao, Lei Gan, Yuankai Li,…