LEAP: LLM-powered End-to-end Automatic Library for Processing Social Science Queries on Unstructured Data | Paper Citation Record

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This paper cites Quantifying the Echo Chamber Effect: An Embedding Distance-based Approach.

LEAP: LLM-powered End-to-end Automatic Library for Processing Social Science Queries on Unstructured Data Quantifying the Echo Chamber Effect: An Embedding Distance-based Approach

Reference 1

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This paper cites How to Ask for a Favor: A Case Study on the Success of Altruistic Requests.

LEAP: LLM-powered End-to-end Automatic Library for Processing Social Science Queries on Unstructured Data How to Ask for a Favor: A Case Study on the Success of Altruistic Requests

Reference 3

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This paper cites HappyDB: A Corpus of 100,000 Crowdsourced Happy Moments.

LEAP: LLM-powered End-to-end Automatic Library for Processing Social Science Queries on Unstructured Data HappyDB: A Corpus of 100,000 Crowdsourced Happy Moments

Reference 4

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LEAP: LLM-powered End-to-end Automatic Library for Processing Social Science Queries on Unstructured Data Unresolved cited work

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LEAP: LLM-powered End-to-end Automatic Library for Processing Social Science Queries on Unstructured Data Unresolved cited work

Reference 7

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This paper cites Benchmarking and Improving Text-to-SQL Generation under Ambiguity.

LEAP: LLM-powered End-to-end Automatic Library for Processing Social Science Queries on Unstructured Data Benchmarking and Improving Text-to-SQL Generation under Ambiguity

Reference 8

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LEAP: LLM-powered End-to-end Automatic Library for Processing Social Science Queries on Unstructured Data Unresolved cited work

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LEAP: LLM-powered End-to-end Automatic Library for Processing Social Science Queries on Unstructured Data Unresolved cited work

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LEAP: LLM-powered End-to-end Automatic Library for Processing Social Science Queries on Unstructured Data Levinson

Reference 12

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LEAP: LLM-powered End-to-end Automatic Library for Processing Social Science Queries on Unstructured Data Language Models are Few-Shot Learners

Reference 13

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Reference 14

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This paper cites Evaluating Large Language Models Trained on Code.

LEAP: LLM-powered End-to-end Automatic Library for Processing Social Science Queries on Unstructured Data Evaluating Large Language Models Trained on Code

Reference 16

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This paper cites More than Meets the Tie: Examining the Role of Interpersonal Relationships in Social Networks.

LEAP: LLM-powered End-to-end Automatic Library for Processing Social Science Queries on Unstructured Data More than Meets the Tie: Examining the Role of Interpersonal Relationships in Social Networks

Reference 17

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This paper cites Learning Personas from Dialogue with Attentive Memory Networks.

LEAP: LLM-powered End-to-end Automatic Library for Processing Social Science Queries on Unstructured Data Learning Personas from Dialogue with Attentive Memory Networks

Reference 19

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Reference 21

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LEAP: LLM-powered End-to-end Automatic Library for Processing Social Science Queries on Unstructured Data Unresolved cited work

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This paper cites Learning to Recognize Dialect Features.

LEAP: LLM-powered End-to-end Automatic Library for Processing Social Science Queries on Unstructured Data Learning to Recognize Dialect Features

Reference 26

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LEAP: LLM-powered End-to-end Automatic Library for Processing Social Science Queries on Unstructured Data Understanding tables with intermediate pre-training

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LEAP: LLM-powered End-to-end Automatic Library for Processing Social Science Queries on Unstructured Data Latent Hatred: A Benchmark for Understanding Implicit Hate Speech

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LEAP: LLM-powered End-to-end Automatic Library for Processing Social Science Queries on Unstructured Data Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation

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LEAP: LLM-powered End-to-end Automatic Library for Processing Social Science Queries on Unstructured Data Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation

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LEAP: LLM-powered End-to-end Automatic Library for Processing Social Science Queries on Unstructured Data Hatfield, J.T

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LEAP: LLM-powered End-to-end Automatic Library for Processing Social Science Queries on Unstructured Data TAPAS: Weakly Supervised Table Parsing via Pre-training

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LEAP: LLM-powered End-to-end Automatic Library for Processing Social Science Queries on Unstructured Data Bailis, Tatsunori Hashimoto, and Matei Zaharia

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LEAP: LLM-powered End-to-end Automatic Library for Processing Social Science Queries on Unstructured Data SPoC: Search-based Pseudocode to Code

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