activity
20242026
collaborators

8 papers

cs.CV2026

CultureScore: Evaluating Cultural Faithfulness in Video Generation Models

Anku Rani, Wei Dai, Shravan Nayak +3

As video generation models like Veo 3.1 and LTX-2 advance, their ability to accurately represent diverse global cultures remains a critical yet understudied frontier. Current metri…

cs.LG2026

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces

Konstantinos Kontras, Trui Osselaer, Stylianos G. Mouslech +12

Foundation models (FMs) promise to extract unified representations that generalize across downstream tasks. They have emerged across fields, including electroencephalography (EEG),…

cs.HC2026

Dialogues with AI Reduce Beliefs in Misinformation but Build No Lasting Discernment Skills

Anku Rani, Valdemar Danry, Paul Pu Liang +2

Given the growing prevalence of fake information, including increasingly realistic AI-generated news, there is an urgent need to train people to better evaluate and detect misinfor…

cs.AI2025

RADAR: A Reasoning-Guided Attribution Framework for Explainable Visual Data Analysis

Anku Rani, Aparna Garimella, Apoorv Saxena +2

Data visualizations like charts are fundamental tools for quantitative analysis and decision-making across fields, requiring accurate interpretation and mathematical reasoning. The…

cs.CL2025

SEPSIS: I Can Catch Your Lies -- A New Paradigm for Deception Detection

Anku Rani, Dwip Dalal, Shreya Gautam +5

Deception is the intentional practice of twisting information. It is a nuanced societal practice deeply intertwined with human societal evolution, characterized by a multitude of f…

cs.HC2025

Can dialogues with AI systems help humans better discern visual misinformation?

Anku Rani, Valdemar Danry, Andy Lippman +1

The widespread emergence of manipulated news media content poses significant challenges to online information integrity. This study investigates whether dialogues with AI about AI-…