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TrustAI at SemEval-2024 Task 8: A Comprehensive Analysis of Multi-domain Machine Generated Text Detection Techniques
In this paper, we present our methods for the SemEval2024 Task8, aiming to detect machine-generated text across various domains in both mono-lingual and multi-lingual contexts.
LLMs with Industrial Lens: Deciphering the Challenges and Prospects -- A Survey
Large language models (LLMs) have become the secret ingredient driving numerous industrial applications, showcasing their remarkable versatility across a diverse spectrum of tasks.
PerceptionGAN: Real-world Image Construction from Provided Text through Perceptual Understanding
This initial image is then improved by conditioning on the text.
From Strings to Things: Knowledge-Enabled VQA Model That Can Read and Reason
To the best of our knowledge, this is the first dataset which identifies the need for bridging text recognition with knowledge graph based reasoning.
Few Shot Speaker Recognition using Deep Neural Networks
The recent advances in deep learning are mostly driven by availability of large amount of training data.
Deep Embedding using Bayesian Risk Minimization with Application to Sketch Recognition
In this paper, we address the problem of hand-drawn sketch recognition.
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