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NExT (@NExTplusplus)

NExTplusplus

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Location 🇸🇬 Singapore
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Python
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TAT-QA

TAT-QA (Tabular And Textual dataset for Question Answering) contains 16,552 questions associated with 2,757 hybrid contexts from real-world financial reports.

NeuRec

NeuRec is a comprehensive and flexible Python library for recommendation models that includes a large range of state-of-the-art neural recommender models.

TAT-DQA

TAT-DQA: Towards Complex Document Understanding By Discrete Reasoning

L2I

The baseline method for CCIR 22 https://www.datafountain.cn/competitions/573

TAT-HQA

TCR

TCR is a PyTorch implementation of the Topic-Guided Conversational Recommender which is designed for the multi-domain conversational recommendation setting.

PACIFIC

PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance