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How FaR Are Large Language Models From Agents with Theory-of-Mind?, , , , , , , , , and 2 other author(s). CoRR, (2023)NATURAL PLAN: Benchmarking LLMs on Natural Language Planning., , , , , , , , , and 1 other author(s). CoRR, (2024)Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting., , , , , , , , , and 2 other author(s). CoRR, (2024)InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis., , , , , and . NAACL (Short Papers), page 720-736. Association for Computational Linguistics, (2024)NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks., , , , , , and . ACL (1), page 3505-3523. Association for Computational Linguistics, (2022)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)TarGEN: Targeted Data Generation with Large Language Models., , , , , , , and . CoRR, (2023)AutoMix: Automatically Mixing Language Models., , , , , , , , , and 3 other author(s). CoRR, (2023)InstructExcel: A Benchmark for Natural Language Instruction in Excel., , , , , , , , , and . EMNLP (Findings), page 4026-4043. Association for Computational Linguistics, (2023)