CoddLLM: Empowering Large Language Models for Data Analytics | Paper Citation Record

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This paper cites GPT-4 Technical Report.

CoddLLM: Empowering Large Language Models for Data Analytics GPT-4 Technical Report

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This paper cites GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints.

CoddLLM: Empowering Large Language Models for Data Analytics GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

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This paper cites The Design of an LLM-powered Unstructured Analytics System.

CoddLLM: Empowering Large Language Models for Data Analytics The Design of an LLM-powered Unstructured Analytics System

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This paper cites Longformer: The Long-Document Transformer.

CoddLLM: Empowering Large Language Models for Data Analytics Longformer: The Long-Document Transformer

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This paper cites Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?.

CoddLLM: Empowering Large Language Models for Data Analytics Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?

Reference 7

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Reference 12

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Reference 13

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This paper cites ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models.

CoddLLM: Empowering Large Language Models for Data Analytics ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models

Reference 14

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This paper cites A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL.

CoddLLM: Empowering Large Language Models for Data Analytics A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL

Reference 15

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Observation 62444c8a-4bd8-46e3-9e4d-4f111189f242 · outbound

This paper cites Textbooks Are All You Need.

CoddLLM: Empowering Large Language Models for Data Analytics Textbooks Are All You Need

Reference 16

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This paper cites Measuring Massive Multitask Language Understanding.

CoddLLM: Empowering Large Language Models for Data Analytics Measuring Massive Multitask Language Understanding

Reference 17

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This paper cites Scaling Laws and Interpretability of Learning from Repeated Data.

CoddLLM: Empowering Large Language Models for Data Analytics Scaling Laws and Interpretability of Learning from Repeated Data

Reference 18

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This paper cites Data Interpreter: An LLM Agent For Data Science.

CoddLLM: Empowering Large Language Models for Data Analytics Data Interpreter: An LLM Agent For Data Science

Reference 19

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Reference 21

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This paper cites AI Agents That Matter.

CoddLLM: Empowering Large Language Models for Data Analytics AI Agents That Matter

Reference 22

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This paper cites In Proceedings of the 2024 Workshop on Human-In-the-Loop Data Analytics.

CoddLLM: Empowering Large Language Models for Data Analytics In Proceedings of the 2024 Workshop on Human-In-the-Loop Data Analytics

Reference 23

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This paper cites In The Twelfth International Conference on Learning Representations.

CoddLLM: Empowering Large Language Models for Data Analytics In The Twelfth International Conference on Learning Representations

Reference 29

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CoddLLM: Empowering Large Language Models for Data Analytics Gonzalez, Hao Zhang, and Ion Stoica

Reference 33

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CoddLLM: Empowering Large Language Models for Data Analytics Decoupled Weight Decay Regularization

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CoddLLM: Empowering Large Language Models for Data Analytics Madhavan, P.A

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CoddLLM: Empowering Large Language Models for Data Analytics Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

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CoddLLM: Empowering Large Language Models for Data Analytics https://huggingface.co/ Zhang et al

Reference 45

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CoddLLM: Empowering Large Language Models for Data Analytics GLU Variants Improve Transformer

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CoddLLM: Empowering Large Language Models for Data Analytics Entity Matching using Large Language Models

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CoddLLM: Empowering Large Language Models for Data Analytics The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

Reference 50

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CoddLLM: Empowering Large Language Models for Data Analytics CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

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CoddLLM: Empowering Large Language Models for Data Analytics LLaMA: Open and Efficient Foundation Language Models

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CoddLLM: Empowering Large Language Models for Data Analytics MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

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CoddLLM: Empowering Large Language Models for Data Analytics TableGPT2: A Large Multimodal Model with Tabular Data Integration

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CoddLLM: Empowering Large Language Models for Data Analytics CHESS: Contextual Harnessing for Efficient SQL Synthesis

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CoddLLM: Empowering Large Language Models for Data Analytics Galactica: A Large Language Model for Science

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CoddLLM: Empowering Large Language Models for Data Analytics TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

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CoddLLM: Empowering Large Language Models for Data Analytics Unresolved cited work

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