Browse project ideas, reference papers, abstracts and academic guidance related to Data Science & Analytics.
This project direction uses recent research on tabular AI, time-series modelling, natural-language analytics, and LLM-assisted data understanding. The implementation can convert raw data into predictions, insights, visual explanations, and decision-support outputs. The…
Reference Paper: A Survey of Large Language Models
This project direction uses recent research on tabular AI, time-series modelling, natural-language analytics, and LLM-assisted data understanding. The implementation can convert raw data into predictions, insights, visual explanations, and decision-support outputs. The…
Reference Paper: Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook
This project direction uses recent research on tabular AI, time-series modelling, natural-language analytics, and LLM-assisted data understanding. The implementation can convert raw data into predictions, insights, visual explanations, and decision-support outputs. The…
Reference Paper: A Survey of Large Language Models
This project direction uses recent research on tabular AI, time-series modelling, natural-language analytics, and LLM-assisted data understanding. The implementation can convert raw data into predictions, insights, visual explanations, and decision-support outputs. The…
Reference Paper: Large Language Models on Tabular Data -- A Survey
This project direction uses recent research on tabular AI, time-series modelling, natural-language analytics, and LLM-assisted data understanding. The implementation can convert raw data into predictions, insights, visual explanations, and decision-support outputs. The…
Reference Paper: A Survey of Text-to-SQL in the Era of Large Language Models
This project direction uses recent research on tabular AI, time-series modelling, natural-language analytics, and LLM-assisted data understanding. The implementation can convert raw data into predictions, insights, visual explanations, and decision-support outputs. The…
Reference Paper: Retrieval-Augmented Generation for Large Language Models: A Survey
This project direction uses recent research on tabular AI, time-series modelling, natural-language analytics, and LLM-assisted data understanding. The implementation can convert raw data into predictions, insights, visual explanations, and decision-support outputs. The…
Reference Paper: Large Language Models on Tabular Data -- A Survey
This project direction uses recent research on tabular AI, time-series modelling, natural-language analytics, and LLM-assisted data understanding. The implementation can convert raw data into predictions, insights, visual explanations, and decision-support outputs. The…
Reference Paper: Large Language Models on Tabular Data -- A Survey
This project direction uses recent research on tabular AI, time-series modelling, natural-language analytics, and LLM-assisted data understanding. The implementation can convert raw data into predictions, insights, visual explanations, and decision-support outputs. The…
Reference Paper: Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook
This project direction uses recent research on tabular AI, time-series modelling, natural-language analytics, and LLM-assisted data understanding. The implementation can convert raw data into predictions, insights, visual explanations, and decision-support outputs. The…
Reference Paper: Large Language Models on Tabular Data -- A Survey
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