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Found 10 papers, 2 papers with code
G-SciEdBERT: A Contextualized LLM for Science Assessment Tasks in German
The advancement of natural language processing has paved the way for automated scoring systems in various languages, such as German (e. g., German BERT [G-BERT]).
Gemini Pro Defeated by GPT-4V: Evidence from Education
This study compared the classification performance of Gemini Pro and GPT-4V in educational settings.
Knowledge Distillation of LLM for Automatic Scoring of Science Education Assessments
We compared accuracy with state-of-the-art (SOTA) distilled models, TinyBERT, and artificial neural network (ANN) models.
Multimodality of AI for Education: Towards Artificial General Intelligence
This paper presents a comprehensive examination of how multimodal artificial intelligence (AI) approaches are paving the way towards the realization of Artificial General Intelligence (AGI) in educational contexts.
Automatic Scoring of Students' Science Writing Using Hybrid Neural Network
We also have observed that HNN is x2 more efficient in training and inferencing than BERT and has comparable efficiency to the lightweight but less accurate Naive Bayes model.
Applying Large Language Models and Chain-of-Thought for Automatic Scoring
We found a more balanced accuracy across different proficiency categories when CoT was used with a scoring rubric, highlighting the importance of domain-specific reasoning in enhancing the effectiveness of LLMs in scoring tasks.
Fine-tuning ChatGPT for Automatic Scoring
In this study, we fine-tuned GPT-3. 5 on six assessment tasks with a diverse dataset of middle-school and high-school student responses and expert scoring.
SEAL: Simultaneous Exploration and Localization in Multi-Robot Systems
The availability of accurate localization is critical for multi-robot exploration strategies; noisy or inconsistent localization causes failure in meeting exploration objectives.
Communication-Efficient Reinforcement Learning in Swarm Robotic Networks for Maze Exploration
The results demonstrate significantly higher coverage accuracy and efficiency while reducing costs and overlaps even in high packet loss and low communication range scenarios.
AGI: Artificial General Intelligence for Education
AGI, driven by the recent large pre-trained models, represents a significant leap in the capability of machines to perform tasks that require human-level intelligence, such as reasoning, problem-solving, decision-making, and even understanding human emotions and social interactions.
