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InstructExcel: A Benchmark for Natural Language Instruction in Excel.

, , , , , , , , , and . EMNLP (Findings), page 4026-4043. Association for Computational Linguistics, (2023)

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AutoMix: Automatically Mixing Language Models., , , , , , , , , and 3 other author(s). CoRR, (2023)TarGEN: Targeted Data Generation with Large Language Models., , , , , , , and . CoRR, (2023)How Robust are Model Rankings : A Leaderboard Customization Approach for Equitable Evaluation., and . AAAI, page 13561-13569. AAAI Press, (2021)Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks., , , , , , , , , and 25 other author(s). EMNLP, page 5085-5109. Association for Computational Linguistics, (2022)NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks., , , , , , and . ACL (1), page 3505-3523. Association for Computational Linguistics, (2022)InstructExcel: A Benchmark for Natural Language Instruction in Excel., , , , , , , , , and . EMNLP (Findings), page 4026-4043. Association for Computational Linguistics, (2023)Beyond ChatBots: ExploreLLM for Structured Thoughts and Personalized Model Responses., , , , , , , , and . CHI Extended Abstracts, page 56:1-56:12. ACM, (2024)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models., , , , , , , , , and 440 other author(s). CoRR, (2022)Investigating the Robustness of LLMs on Math Word Problems., , , , , and . CoRR, (2024)In-Context Principle Learning from Mistakes., , , , , , , and . ICML, OpenReview.net, (2024)