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Skip to Search Results- 4Large Language Models
- 2Natural Language Processing
- 1Automated Essay Scoring
- 1Computer Vision
- 1Cross-Lingual
- 1Cross-Modal
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Fall 2024
We evaluate the effectiveness of Large Language Models (LLMs) in assessing essay quality, focusing on their alignment with human grading processes. Specifically, we investigate the applicability of LLMs such as GPT-3.5T and Llama-2 in the Automated Essay Scoring (AES) task, a crucial natural...
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Fall 2024
Large Language Models (LLMs), including Vision Large Language Models (VLLMs), herald the coming of a new research epoch in machine learning and computational linguistics. Despite most LLMs being predominantly trained on English, their proficiency in various languages has been confirmed by many...
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Fall 2024
This thesis addresses the task of few-shot style-conditioned text generation using large language models (LLMs). We propose a novel, model-agnostic approach for adapting LLMs to arbitrary styles using a few text samples from a certain author. Instead of using pre-defined features, our method...
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Fall 2023
This thesis introduces a new approach for grounding concepts to vision using visual descriptions, which are text-based descriptions of visual attributes. We hypothesize that these descriptions can enhance the grounding of concepts to vision, thereby improving performance in vision-language tasks....