Abstract: Facial Emotion Recognition (FER) has emerged as an essential task in affective computing, with a wide range of utilization from man-machine interaction to health monitoring. A novel ...
Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
A recent publication from IMDEA Materials Institute and the Technical University of Madrid (UPM) presents a major step ...
Vision-language models consistently struggle with tasks that require multiple consecutive reasoning steps about an image, revealing a fundamental weakness in their ...
Alibaba's Qwen team has developed a new training algorithm for reasoning models that assigns different weights to individual tokens based on how much each step influences the subsequent chain of ...
Microsoft launches three in-house AI models for transcription, voice, and image generation, challenging OpenAI and Google ...
Abstract: Reconstructing prompts in text generation systems is a significant challenge in natural language processing (NLP). This study presents a novel Siamese encoder-decoder framework augmented ...