3 citations · 3 across the 7 of their papers we have counts for
7 papers
Community-Specific Slang and Entity Detection via Semantic Shift in Fine-Tuned Language Models
Julia Kruk, Sanchita Porwal, Amitrajit Bhattacharjee +1
We propose an unsupervised method of resolving slang, unique entities, and folklore from online communities by isolating words in the lexicon that have the highest magnitude of sem…
Learning Personalized Agents from Human Feedback
Kaiqu Liang, Julia Kruk, Shengyi Qian +9
Modern AI agents are powerful but often fail to align with the idiosyncratic, evolving preferences of individual users. Prior approaches typically rely on static datasets, either t…
World in a Frame: Understanding Culture Mixing as a New Challenge for Vision-Language Models
Eunsu Kim, Junyeong Park, Na Min An +9
In a globalized world, cultural elements from diverse origins frequently appear together within a single visual scene. We refer to these as culture mixing scenarios, yet how Large…
Semi-Truths: A Large-Scale Dataset of AI-Augmented Images for Evaluating Robustness of AI-Generated Image detectors
Anisha Pal, Julia Kruk, Mansi Phute +4
Text-to-image diffusion models have impactful applications in art, design, and entertainment, yet these technologies also pose significant risks by enabling the creation and dissem…
Silent Signals, Loud Impact: LLMs for Word-Sense Disambiguation of Coded Dog Whistles
Julia Kruk, Michela Marchini, Rijul Magu +3
A dog whistle is a form of coded communication that carries a secondary meaning to specific audiences and is often weaponized for racial and socioeconomic discrimination. Dog whist…
Impressions: Understanding Visual Semiotics and Aesthetic Impact
Julia Kruk, Caleb Ziems, Diyi Yang
Is aesthetic impact different from beauty? Is visual salience a reflection of its capacity for effective communication? We present Impressions, a novel dataset through which to inv…
Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts
Julia Kruk, Jonah Lubin, Karan Sikka +3
Computing author intent from multimodal data like Instagram posts requires modeling a complex relationship between text and image. For example, a caption might evoke an ironic cont…