Flipping the Dialogue: Training and Evaluating User Language Models
Tarek Naous · Philippe Laban · Wei Xu · Jennifer Neville
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Tarek Naous · Philippe Laban · Wei Xu · Jennifer Neville
Ruixin Yang · Ethan Mendes · Arthur Wang · James Hays · Sauvik Das · Wei Xu · Alan Ritter
Mohit Talreja · Joshua Diao · Jim James · Radu Casapu · Tejas Santanam · Ethan Mendes · Alan Ritter · Wei Xu · James Hays
Vision Language Models (VLMs) are good at recognizing the global location of a photograph – their geolocation prediction accuracy rivals the best human experts. But many VLMs are startlingly bad at explaining which image evidence led to their prediction, even when their location prediction is cor...
Kaijie Mo · Siddhartha Venkatayogi · Chantal Shaib · Ramez Kouzy · Wei Xu · Byron C Wallace · Junyi Jessy Li
In high-stakes domains like medicine, it may be generally desirable for models to faithfully adhere to the context provided. But what happens if the context does not align with model priors or safety protocols? In this paper, we investigate how LLMs behave and reason when presented with counterfa...
Isadora Krsek · Meryl Ye · Wei Xu · Alan Ritter · Laura Dabbish · Sauvik Das