Search Results for author:
Found 15 papers, 12 papers with code
MAiDE-up: Multilingual Deception Detection of GPT-generated Hotel Reviews
Using this dataset, we conduct extensive linguistic analyses to (1) compare the AI fake hotel reviews to real hotel reviews, and (2) identify the factors that influence the deception detection model performance.
Cross-cultural Inspiration Detection and Analysis in Real and LLM-generated Social Media Data
To this end, we compile and make publicly available the InspAIred dataset, which consists of 2, 000 real inspiring posts, 2, 000 real non-inspiring posts, and 2, 000 generated inspiring posts evenly distributed across India and the UK.
Towards Algorithmic Fidelity: Mental Health Representation across Demographics in Synthetic vs. Human-generated Data
Using GPT-3, we develop HEADROOM, a synthetic dataset of 3, 120 posts about depression-triggering stressors, by controlling for race, gender, and time frame (before and after COVID-19).
Annotations on a Budget: Leveraging Geo-Data Similarity to Balance Model Performance and Annotation Cost
In this paper, we propose methods to identify the data to be annotated to balance model performance and annotation costs.
Bridging the Digital Divide: Performance Variation across Socio-Economic Factors in Vision-Language Models
Despite the impressive performance of current AI models reported across various tasks, performance reports often do not include evaluations of how these models perform on the specific groups that will be impacted by these technologies.
Augment the Pairs: Semantics-Preserving Image-Caption Pair Augmentation for Grounding-Based Vision and Language Models
While we demonstrate our data augmentation method with MDETR framework, the proposed approach is applicable to common grounding-based vision and language tasks with other frameworks.
Human Action Co-occurrence in Lifestyle Vlogs using Graph Link Prediction
We create and make publicly available the ACE (Action Co-occurrencE) dataset, consisting of a large graph of ~12k co-occurring pairs of visual actions and their corresponding video clips.
Scalable Performance Analysis for Vision-Language Models
Joint vision-language models have shown great performance over a diverse set of tasks.
Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models
Not surprisingly, this has, in turn, made many NLP researchers -- especially those at the beginning of their careers -- worry about what NLP research area they should focus on.
OCR Improves Machine Translation for Low-Resource Languages
We aim to investigate the performance of current OCR systems on low resource languages and low resource scripts.
When Did It Happen? Duration-informed Temporal Localization of Narrated Actions in Vlogs
We consider the task of temporal human action localization in lifestyle vlogs.
WhyAct: Identifying Action Reasons in Lifestyle Vlogs
We aim to automatically identify human action reasons in online videos.
Detecting Inspiring Content on Social Media
We release a dataset of 5, 800 inspiring and 5, 800 non-inspiring English-language public post unique ids collected from a dump of Reddit public posts made available by a third party and use linguistic heuristics to automatically detect which social media English-language posts are inspiring.
FIBER: Fill-in-the-Blanks as a Challenging Video Understanding Evaluation Framework
We propose fill-in-the-blanks as a video understanding evaluation framework and introduce FIBER -- a novel dataset consisting of 28, 000 videos and descriptions in support of this evaluation framework.
Identifying Visible Actions in Lifestyle Vlogs
We consider the task of identifying human actions visible in online videos.
