Can Rule-Based Insights Enhance LLMs for Radiology Report Classification? Introducing the RadPrompt Methodologyby Panagiotis Fytas,…
Digital Avatars: Framework Development and Their Evaluationby Timothy Rupprecht, Sung-En Chang, Yushu Wu, Lei Lu,…
Unveiling Factual Recall Behaviors of Large Language Models through Knowledge Neuronsby Yifei Wang, Yuheng Chen,…
Training LLMs to Recognize Hedges in Spontaneous Narrativesby Amie J. Paige, Adil Soubki, John Murzaku,…
NatLan: Native Language Prompting Facilitates Knowledge Elicitation Through Language Trigger Provision and Domain Trigger Retentionby…
Target Prompting for Information Extraction with Vision Language Modelby Dipankar MedhiFirst submitted to arxiv on:…
Progressively Label Enhancement for Large Language Model Alignmentby Biao Liu, Ning Xu, Xin GengFirst submitted…
Operationalizing Contextual Integrity in Privacy-Conscious Assistantsby Sahra Ghalebikesabi, Eugene Bagdasaryan, Ren Yi, Itay Yona, Ilia…
ML-EAT: A Multilevel Embedding Association Test for Interpretable and Transparent Social Scienceby Robert Wolfe, Alexis…
Dissecting Dissonance: Benchmarking Large Multimodal Models Against Self-Contradictory Instructionsby Jin Gao, Lei Gan, Yuankai Li,…