Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs | Paper Citation Record

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This paper cites Advances in neural information processing systems , volume=.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Advances in neural information processing systems , volume=

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This paper cites Advances in neural information processing systems , volume=.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Advances in neural information processing systems , volume=

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This paper cites The Llama 3 Herd of Models.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs The Llama 3 Herd of Models

Reference 3

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This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 4

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This paper cites Advances in neural information processing systems , volume=.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Advances in neural information processing systems , volume=

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This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Proceedings of the AAAI Conference on Artificial Intelligence , volume=

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This paper cites System-2 Mathematical Reasoning via Enriched Instruction Tuning.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs System-2 Mathematical Reasoning via Enriched Instruction Tuning

Reference 7

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This paper cites Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Reference 8

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This paper cites Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models

Reference 9

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This paper cites O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning

Reference 10

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This paper cites Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond

Reference 11

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This paper cites Tokenskip: Controllable chain-of-thought compression in llms.arXiv preprint arXiv:2502.12067.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Tokenskip: Controllable chain-of-thought compression in llms.arXiv preprint arXiv:2502.12067

Reference 12

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This paper cites CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation

Reference 13

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This paper cites SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs

Reference 14

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This paper cites Compressed Chain of Thought: Efficient Reasoning Through Dense Representations.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Compressed Chain of Thought: Efficient Reasoning Through Dense Representations

Reference 15

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This paper cites Training Large Language Models to Reason in a Continuous Latent Space.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Training Large Language Models to Reason in a Continuous Latent Space

Reference 16

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This paper cites Advances in neural information processing systems , volume=.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Advances in neural information processing systems , volume=

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This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 18

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This paper cites Findings of the Association for Computational Linguistics: ACL 2023 , pages=.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Findings of the Association for Computational Linguistics: ACL 2023 , pages=

Reference 19

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This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 20

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This paper cites Chain of Logic: Rule-Based Reasoning with Large Language Models.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Chain of Logic: Rule-Based Reasoning with Large Language Models

Reference 21

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This paper cites Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 22

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This paper cites Findings of the Association for Computational Linguistics: ACL 2023 , pages=.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Findings of the Association for Computational Linguistics: ACL 2023 , pages=

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This paper cites Advances in Neural Information Processing Systems , volume=.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Advances in Neural Information Processing Systems , volume=

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This paper cites Dast: Difficulty-adaptive slow-thinking for large reasoning models.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Dast: Difficulty-adaptive slow-thinking for large reasoning models

Reference 25

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This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 26

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This paper cites Demystifying Long Chain-of-Thought Reasoning in LLMs.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Demystifying Long Chain-of-Thought Reasoning in LLMs

Reference 27

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Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs arXiv preprint arXiv:2502.15589 , year=

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Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Resilience of large language models for noisy instructions

Reference 29

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Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Can Language Models Learn to Skip Steps?

Reference 30

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Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Efficient Reasoning with Hidden Thinking

Reference 31

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Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Hierarchical Side-Tuning for Vision Transformers

Reference 32

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This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

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Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs IEEE Access , volume=

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Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Procedia Computer Science , volume=

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Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs The eleventh international conference on learning representations , year=

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Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Unresolved cited work

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Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Advances in Neural Information Processing Systems , volume=

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Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Advances in Neural Information Processing Systems , volume=

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Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Enhancing Generalization in Chain of Thought Reasoning for Smaller Models

Reference 40

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Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey

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Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs The Thirteenth International Conference on Learning Representations , year=

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Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Proceedings of the National Academy of Sciences , volume=

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Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs NeuroImage , volume=

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This paper cites Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM's Reasoning Capability.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM's Reasoning Capability

Reference 45

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This paper cites Training Verifiers to Solve Math Word Problems.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Training Verifiers to Solve Math Word Problems

Reference 46

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Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Measuring Mathematical Problem Solving With the MATH Dataset

Reference 47

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This paper cites Self-Training Elicits Concise Reasoning in Large Language Models.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Self-Training Elicits Concise Reasoning in Large Language Models

Reference 48

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This paper cites From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step

Reference 49

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This paper cites Findings of the Association for Computational Linguistics: ACL 2025 , pages=.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Findings of the Association for Computational Linguistics: ACL 2025 , pages=

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This paper cites Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space

Reference 51

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Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Chain of Draft: Thinking Faster by Writing Less

Reference 52

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Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs How Well do LLMs Compress Their Own Chain-of-Thought? A Token Complexity Approach

Reference 53

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This paper cites 2024 2nd International Conference on Foundation and Large Language Models (FLLM) , pages=.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs 2024 2nd International Conference on Foundation and Large Language Models (FLLM) , pages=

Reference 54

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Observation b57ff864-9173-4dfd-bcdc-3bd5146ab992 · outbound

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Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Advances in Neural Information Processing Systems , volume=

Reference 55

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Observation 98d90343-427b-4214-9b0e-d29194f26f7a · outbound

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Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation

Reference 56

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Observation f9b0cd51-fba5-4087-9598-2004631a07fa · outbound

This paper cites Sketch-of-thought: Efficient llm reasoning with adaptive cognitive-inspired sketching.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Sketch-of-thought: Efficient llm reasoning with adaptive cognitive-inspired sketching

Reference 57

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Observation 432e4927-dfa7-4740-b5b2-b88d25378453 · outbound

This paper cites Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models

Reference 58

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Observation b244a145-6e0b-4e42-829c-3ee80fc0fdd4 · outbound

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Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 59

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Observation 9a80816a-9825-40ed-b667-cd7784d10056 · outbound

This paper cites Pareto Probing: Trading Off Accuracy for Complexity.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Pareto Probing: Trading Off Accuracy for Complexity

Reference 60

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Observation c2f0cb64-0b59-477d-991b-41e25f8ee69a · outbound

This paper cites Advances in neural information processing systems , volume=.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Advances in neural information processing systems , volume=

Reference 61

Resolution: unresolved; no resolver link, observed 2026-06-28T17:05:48.244094Z

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Observation 8789143f-da6d-41a0-9380-077c24580b94 · outbound

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Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Transactions of the Association for Computational Linguistics , volume=

Reference 62

Resolution: unresolved; no resolver link, observed 2026-06-28T17:05:48.244094Z

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Observation aca4cdaa-6503-42eb-a28f-15f9970673ed · outbound

This paper cites International Conference on Machine Learning , pages=.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs International Conference on Machine Learning , pages=

Reference 63

Resolution: unresolved; no resolver link, observed 2026-06-28T17:05:48.244094Z

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Observation b3303979-c1a3-47de-b1bc-4efe3504431c · outbound

This paper cites Quantum Machine Intelligence , volume=.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Quantum Machine Intelligence , volume=

Reference 64

Resolution: unresolved; no resolver link, observed 2026-06-28T17:05:48.244094Z

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Observation 8d442c52-acaa-49d2-9afc-7eaa6cdedfe0 · outbound

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Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Neural computation , volume=

Reference 65

Resolution: unresolved; no resolver link, observed 2026-06-28T17:05:48.244094Z

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Observation 8f2e6a0b-cf6b-4df6-919b-9d25bf8bafb7 · outbound

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Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs , author=

Reference 66

Resolution: unresolved; no resolver link, observed 2026-06-28T17:05:48.244094Z

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Observation 842a43f4-36bd-4d33-8941-3d2dc2b871e9 · outbound

This paper cites Advances in neural information processing systems , volume=.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Advances in neural information processing systems , volume=

Reference 67

Resolution: unresolved; no resolver link, observed 2026-06-28T17:05:48.244094Z

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Observation 4dd3f2bf-ec7d-414e-86af-092b2a32b8e5 · outbound

This paper cites LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-06-28T17:12:25.237086Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Pith citing papers