Multimodal Sentiment Intensity Analysis in Videos: Facial Gestures and Verbal Messages

Amir Zadeh, Rowan Zellers, Eli Pincus, +1

IEEE Intelligent Systems

EngineeringMultimodal LearningCommunicationMultimodal Sentiment AnalysisText Mining +17

HellaSwag: Can a Machine Really Finish Your Sentence?

Rowan Zellers, Ari Holtzman, Yonatan Bisk, +2

MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos

Amir Zadeh, Rowan Zellers, Eli Pincus, +1

arXiv (Cornell University)

EngineeringMultimedia AnalysisCommunicationMultimodal Sentiment AnalysisSentiment Analysis +19

Adversarial Filters of Dataset Biases

Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, +4

arXiv (Cornell University)

Artificial IntelligenceDataset BiasData AugmentationDataset BiasesEngineering +13

Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks

Jiasen Lu, Christopher M. Clark, Rowan Zellers, +2

arXiv (Cornell University)

Artificial IntelligenceEngineeringMachine LearningMultimodal LearningIntelligent Systems +19

SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference

Rowan Zellers, Yonatan Bisk, Roy Schwartz, +1

MAUVE: Measuring the Gap Between Neural Text and Human Text using\n Divergence Frontiers

Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, +4

arXiv (Cornell University)

Defending Against Neural Fake News

Rowan Zellers, Ari Holtzman, Hannah Rashkin, +4

arXiv (Cornell University)

Fake NewsArtificial IntelligenceNatural Language ProcessingEngineeringComputational Linguistics +12

GPT-4o System Card

OpenAI, A. M. Hurst, Adam Lerer, +364

arXiv (Cornell University)

Artificial IntelligenceEngineeringMachine LearningSpeech RecognitionNatural Language Processing +16

Neural Motifs: Scene Graph Parsing with Global Context

Rowan Zellers, Mark Yatskar, Sam Thomson, +1

Object DetectionsGeometric LearningScene AnalysisMachine VisionGraph Theory +13