Cover Image

On the Step Length Confounding in LLM Reasoning Data Selection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Bing, Miao, Rui, Shen, Chen, Yan, Shaotian, Liu, Kaiyuan, Li, Ximing, Yuan, Xiaosong, Fan, Sinan, Zhang, Jun, Ye, Jieping
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Backtracking When It Strays: Mitigating Dual Exposure Biases in LLM Reasoning Distillation
by: Wang, Bing, et al.
Published: (2026)

Where Did This Sentence Come From? Tracing Provenance in LLM Reasoning Distillation
by: Liu, Kaiyuan, et al.
Published: (2025)

Are Rationales Necessary and Sufficient? Tuning LLMs for Explainable Misinformation Detection
by: Wang, Bing, et al.
Published: (2026)

Distribution-Aligned Sequence Distillation for Superior Long-CoT Reasoning
by: Yan, Shaotian, et al.
Published: (2026)

SalaMAnder: Shapley-based Mathematical Expression Attribution and Metric for Chain-of-Thought Reasoning
by: Xin, Yue, et al.
Published: (2025)

Efficient Reasoning Through Suppression of Self-Affirmation Reflections in Large Reasoning Models
by: Liu, Kaiyuan, et al.
Published: (2025)

Enhancing Chain-of-Thought Reasoning with Critical Representation Fine-tuning
by: Huang, Chenxi, et al.
Published: (2025)

Don't Take Things Out of Context: Attention Intervention for Enhancing Chain-of-Thought Reasoning in Large Language Models
by: Yan, Shaotian, et al.
Published: (2025)

Concise and Organized Perception Facilitates Reasoning in Large Language Models
by: Liu, Junjie, et al.
Published: (2023)

Instance-adaptive Zero-shot Chain-of-Thought Prompting
by: Yuan, Xiaosong, et al.
Published: (2024)

From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks
by: Zhang, Xiaofeng, et al.
Published: (2024)

Improving Complex Reasoning with Dynamic Prompt Corruption: A soft prompt Optimization Approach
by: Fan, Sinan, et al.
Published: (2025)

Through the Lens of Contrast: Self-Improving Visual Reasoning in VLMs
by: Pan, Zhiyu, et al.
Published: (2026)

Prefix Teach, Suffix Fade: Local Teachability Collapse in Strong-to-Weak On-Policy Distillation
by: Liu, Kaiyuan, et al.
Published: (2026)

AdaThink-Med: Medical Adaptive Thinking with Uncertainty-Guided Length Calibration
by: Rui, Shaohao, et al.
Published: (2025)

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs
by: Zhang, Xiaofeng, et al.
Published: (2024)

Unified Data Selection for LLM Reasoning
by: Li, Xiaoyuan, et al.
Published: (2026)

Flora: Effortless Context Construction to Arbitrary Length and Scale
by: Chen, Tianxiang, et al.
Published: (2025)

Curing Miracle Steps in LLM Mathematical Reasoning with Rubric Rewards
by: Yuan, Youliang, et al.
Published: (2025)

Enhancing LLM's Cognition via Structurization
by: Liu, Kai, et al.
Published: (2024)

The Impact of Reasoning Step Length on Large Language Models
by: Jin, Mingyu, et al.
Published: (2024)

Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning
by: Zhang, Kongcheng, et al.
Published: (2025)

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control
by: He, Xingyang, et al.
Published: (2025)

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering
by: Long, Xiao, et al.
Published: (2025)

Stabilizing Efficient Reasoning with Step-Level Advantage Selection
by: Wang, Han, et al.
Published: (2026)

The Zero-Step Thinking: An Empirical Study of Mode Selection as Harder Early Exit in Reasoning Models
by: Tan, Yuqiao, et al.
Published: (2025)

Beyond Token Length: Step Pruner for Efficient and Accurate Reasoning in Large Language Models
by: Wu, Canhui, et al.
Published: (2025)

Model Performance-Guided Evaluation Data Selection for Effective Prompt Optimization
by: Dong, Ximing, et al.
Published: (2025)

LLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step Reasoning with Large Language Models
by: Hao, Shibo, et al.
Published: (2024)

Evaluating Step-by-Step Reasoning through Symbolic Verification
by: Zhang, Yi-Fan, et al.
Published: (2022)

Reason-Align-Respond: Aligning LLM Reasoning with Knowledge Graphs for KGQA
by: Shen, Xiangqing, et al.
Published: (2025)

LSPO: Length-aware Dynamic Sampling for Policy Optimization in LLM Reasoning
by: Chen, Weizhe, et al.
Published: (2025)

LAPO: Internalizing Reasoning Efficiency via Length-Adaptive Policy Optimization
by: Wu, Xingyu, et al.
Published: (2025)

Case-Based Calibration of Adaptive Reasoning and Execution for LLM Tool Use
by: Pang, Renning, et al.
Published: (2026)

Greedy Information Projection for LLM Data Selection
by: Dong, Victor Ye, et al.
Published: (2026)

Discovering Process-Outcome Credit in Multi-Step LLM Reasoning
by: Wang, Xiangwei, et al.
Published: (2026)

Learning to Reason via Self-Iterative Process Feedback for Small Language Models
by: Chen, Kaiyuan, et al.
Published: (2024)

InftyThink: Breaking the Length Limits of Long-Context Reasoning in Large Language Models
by: Yan, Yuchen, et al.
Published: (2025)

DARC: Decoupled Asymmetric Reasoning Curriculum for LLM Evolution
by: Fan, Shengda, et al.
Published: (2026)

Importance-Aware Data Selection for Efficient LLM Instruction Tuning
by: Jiang, Tingyu, et al.
Published: (2025)