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Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning.

, , , , , , , and . ICLR, OpenReview.net, (2024)

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Better Correlation and Robustness: A Distribution-Balanced Self-Supervised Learning Framework for Automatic Dialogue Evaluation., , , , and . NeurIPS, (2023)CogLM: Tracking Cognitive Development of Large Language Models., , , , , , , and . CoRR, (2024)Normalized Activation Function: Toward Better Convergence., and . CoRR, (2022)Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning., , , , , , , and . ICLR, OpenReview.net, (2024)Generative Dense Retrieval: Memory Can Be a Burden., , , , , , , and . EACL (1), page 2835-2845. Association for Computational Linguistics, (2024)Turning Dust into Gold: Distilling Complex Reasoning Capabilities from LLMs by Leveraging Negative Data., , , , , , , and . AAAI, page 18591-18599. AAAI Press, (2024)Integrate the Essence and Eliminate the Dross: Fine-Grained Self-Consistency for Free-Form Language Generation., , , , , , , and . ACL (1), page 11782-11794. Association for Computational Linguistics, (2024)Poor-Supervised Evaluation for SuperLLM via Mutual Consistency., , , , , , , and . ACL (Findings), page 11614-11627. Association for Computational Linguistics, (2024)Is Channel Independent strategy optimal for Time Series Forecasting?, and . CoRR, (2023)Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning., , , , , , , , and . CoRR, (2024)