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Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks.

, , , , , , , , and . IJCAI, page 5426-5435. ijcai.org, (2022)

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KeypointNet: A Large-Scale 3D Keypoint Dataset Aggregated From Numerous Human Annotations., , , , , , , and . CVPR, page 13644-13653. Computer Vision Foundation / IEEE, (2020)FORTAP: Using Formulas for Numerical-Reasoning-Aware Table Pretraining., , , , , , and . ACL (1), page 1150-1166. Association for Computational Linguistics, (2022)Semantic Correspondence via 2D-3D-2D Cycle., , , , , , and . CoRR, (2020)TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data., , , , , , and . EMNLP, page 2278-2291. Association for Computational Linguistics, (2022)What Are Tools Anyway? A Survey from the Language Model Perspective., , , , and . CoRR, (2024)OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments., , , , , , , , , and 7 other author(s). CoRR, (2024)BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions., , , , , , , , , and 23 other author(s). CoRR, (2024)Binding Language Models in Symbolic Languages., , , , , , , , , and 2 other author(s). ICLR, OpenReview.net, (2023)OpenAgents: An Open Platform for Language Agents in the Wild., , , , , , , , , and 6 other author(s). CoRR, (2023)Lemur: Harmonizing Natural Language and Code for Language Agents., , , , , , , , , and 6 other author(s). CoRR, (2023)