@sreeb.bsky.social
PhD student @PennState • Multimodal Learning x Affective Computing • ex-Microsoft
Pinned
sreeb.bsky.social
@sreeb.bsky.social
· Feb 22
Evaluating Vision-Language Models for Emotion Recognition
Large Vision-Language Models (VLMs) have achieved unprecedented success in several objective multimodal reasoning tasks. However, to further enhance their capabilities of empathetic and effective comm...
arxiv.org
Excited to share my recent work on evaluating VLMs for ✨evoked emotion recognition ✨: arxiv.org/abs/2502.05660 (will be in NAACL Findings)!
Excited to share my recent work on evaluating VLMs for ✨evoked emotion recognition ✨: arxiv.org/abs/2502.05660 (will be in NAACL Findings)!
Evaluating Vision-Language Models for Emotion Recognition
Large Vision-Language Models (VLMs) have achieved unprecedented success in several objective multimodal reasoning tasks. However, to further enhance their capabilities of empathetic and effective comm...
arxiv.org
February 22, 2025 at 7:55 PM
Excited to share my recent work on evaluating VLMs for ✨evoked emotion recognition ✨: arxiv.org/abs/2502.05660 (will be in NAACL Findings)!
Reposted
Instead of 'What can AI teach every other field?', we should ask 'What can AI learn FROM every other field?', e.g. sociology, education, indigenous knowledge systems. After all, what kind of study of general intelligence does not try to build upon the amassed collective wisdom of all humanity?
December 13, 2024 at 9:05 PM
Instead of 'What can AI teach every other field?', we should ask 'What can AI learn FROM every other field?', e.g. sociology, education, indigenous knowledge systems. After all, what kind of study of general intelligence does not try to build upon the amassed collective wisdom of all humanity?
