Saved in:
| Main Author: | Yuan, Yidi |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.18464 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LLM Reasoning as Trajectories: Step-Specific Representation Geometry and Correctness Signals
by: Sun, Lihao, et al.
Published: (2026)
by: Sun, Lihao, et al.
Published: (2026)
Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo
by: Feng, Shengyu, et al.
Published: (2024)
by: Feng, Shengyu, et al.
Published: (2024)
Step-wise Rubric Rewards for LLM Reasoning
by: Xie, Weichu, et al.
Published: (2026)
by: Xie, Weichu, et al.
Published: (2026)
Offline Reinforcement Learning for LLM Multi-Step Reasoning
by: Wang, Huaijie, et al.
Published: (2024)
by: Wang, Huaijie, et al.
Published: (2024)
Do Latent-CoT Models Think Step-by-Step? A Mechanistic Study on Sequential Reasoning Tasks
by: Liang, Jia, et al.
Published: (2026)
by: Liang, Jia, et al.
Published: (2026)
Stratify: Unifying Multi-Step Forecasting Strategies
by: Green, Riku, et al.
Published: (2024)
by: Green, Riku, et al.
Published: (2024)
Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models
by: Wang, Hao, et al.
Published: (2025)
by: Wang, Hao, et al.
Published: (2025)
Assessing LLM Reasoning Steps via Principal Knowledge Grounding
by: Hwang, Hyeon, et al.
Published: (2025)
by: Hwang, Hyeon, et al.
Published: (2025)
LLM Reasoning with Process Rewards for Outcome-Guided Steps
by: Rezaei, Mohammad, et al.
Published: (2026)
by: Rezaei, Mohammad, et al.
Published: (2026)
Learning to Generate Formally Verifiable Step-by-Step Logic Reasoning via Structured Formal Intermediaries
by: Chen, Luoxin, et al.
Published: (2026)
by: Chen, Luoxin, et al.
Published: (2026)
AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence
by: Liu, Yuliang, et al.
Published: (2025)
by: Liu, Yuliang, et al.
Published: (2025)
Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting
by: Xu, Fan, et al.
Published: (2026)
by: Xu, Fan, et al.
Published: (2026)
Dual-Splitting Conformal Prediction for Multi-Step Time Series Forecasting
by: Yu, Qingdi, et al.
Published: (2025)
by: Yu, Qingdi, et al.
Published: (2025)
Thought Anchors: Which LLM Reasoning Steps Matter?
by: Bogdan, Paul C., et al.
Published: (2025)
by: Bogdan, Paul C., et al.
Published: (2025)
Transformers Can Navigate Mazes With Multi-Step Prediction
by: Nolte, Niklas, et al.
Published: (2024)
by: Nolte, Niklas, et al.
Published: (2024)
Time-Series Classification for Dynamic Strategies in Multi-Step Forecasting
by: Green, Riku, et al.
Published: (2024)
by: Green, Riku, et al.
Published: (2024)
The Reasoning Trap: An Information-Theoretic Bound on Closed-System Multi-Step LLM Reasoning
by: Shin, Kwan Soo
Published: (2026)
by: Shin, Kwan Soo
Published: (2026)
Superlinear Multi-Step Attention
by: Huang, Yufeng
Published: (2026)
by: Huang, Yufeng
Published: (2026)
Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning
by: Deng, Yihe, et al.
Published: (2025)
by: Deng, Yihe, et al.
Published: (2025)
Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement
by: Xiong, Weimin, et al.
Published: (2024)
by: Xiong, Weimin, et al.
Published: (2024)
A Single Revision Step Improves Token-Efficient LLM Reasoning
by: Zhang, Yingchuan, et al.
Published: (2026)
by: Zhang, Yingchuan, et al.
Published: (2026)
One Step Forward and K Steps Back: Better Reasoning with Denoising Recursion Models
by: Cameron, Chris, et al.
Published: (2026)
by: Cameron, Chris, et al.
Published: (2026)
Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs
by: Lai, Xin, et al.
Published: (2024)
by: Lai, Xin, et al.
Published: (2024)
STeCa: Step-level Trajectory Calibration for LLM Agent Learning
by: Wang, Hanlin, et al.
Published: (2025)
by: Wang, Hanlin, et al.
Published: (2025)
Structure-based RNA Design by Step-wise Optimization of Latent Diffusion Model
by: Si, Qi, et al.
Published: (2026)
by: Si, Qi, et al.
Published: (2026)
Few-Step Diffusion Language Models via Trajectory Self-Distillation
by: Zhang, Tunyu, et al.
Published: (2026)
by: Zhang, Tunyu, et al.
Published: (2026)
Dual-Level Models for Physics-Informed Multi-Step Time Series Forecasting
by: Nasiri, Mahdi, et al.
Published: (2026)
by: Nasiri, Mahdi, et al.
Published: (2026)
Adaptive Conformal Inference for Multi-Step Ahead Time-Series Forecasting Online
by: Szabadváry, Johan Hallberg
Published: (2024)
by: Szabadváry, Johan Hallberg
Published: (2024)
Embedding Perturbation may Better Reflect Intermediate-Step Uncertainty in LLM Reasoning
by: Wen, Qihao, et al.
Published: (2026)
by: Wen, Qihao, et al.
Published: (2026)
Stepping Forward on the Last Mile
by: Feng, Chen, et al.
Published: (2024)
by: Feng, Chen, et al.
Published: (2024)
TIER: Trajectory-Invariant Execution Rewards for Multi-Step Tool Composition
by: Kulkarni, Anay, et al.
Published: (2026)
by: Kulkarni, Anay, et al.
Published: (2026)
Step-by-Step Diffusion: An Elementary Tutorial
by: Nakkiran, Preetum, et al.
Published: (2024)
by: Nakkiran, Preetum, et al.
Published: (2024)
One Step Learning, One Step Review
by: Huang, Xiaolong, et al.
Published: (2024)
by: Huang, Xiaolong, et al.
Published: (2024)
A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide
by: Kim, Sunwoo, et al.
Published: (2024)
by: Kim, Sunwoo, et al.
Published: (2024)
Simple Steps to Success: A Method for Step-Based Counterfactual Explanations
by: Hamer, Jenny, et al.
Published: (2023)
by: Hamer, Jenny, et al.
Published: (2023)
Boosting Deductive Reasoning with Step Signals In RLHF
by: Li, Jialian, et al.
Published: (2024)
by: Li, Jialian, et al.
Published: (2024)
Latent Policy Steering through One-Step Flow Policies
by: Im, Hokyun, et al.
Published: (2026)
by: Im, Hokyun, et al.
Published: (2026)
Multi-Step Reasoning with Large Language Models, a Survey
by: Plaat, Aske, et al.
Published: (2024)
by: Plaat, Aske, et al.
Published: (2024)
ProcBench: Benchmark for Multi-Step Reasoning and Following Procedure
by: Fujisawa, Ippei, et al.
Published: (2024)
by: Fujisawa, Ippei, et al.
Published: (2024)
SALT: Step-level Advantage Assignment for Long-horizon Agents via Trajectory Graph
by: Li, Jiazheng, et al.
Published: (2025)
by: Li, Jiazheng, et al.
Published: (2025)
Similar Items
-
LLM Reasoning as Trajectories: Step-Specific Representation Geometry and Correctness Signals
by: Sun, Lihao, et al.
Published: (2026) -
Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo
by: Feng, Shengyu, et al.
Published: (2024) -
Step-wise Rubric Rewards for LLM Reasoning
by: Xie, Weichu, et al.
Published: (2026) -
Offline Reinforcement Learning for LLM Multi-Step Reasoning
by: Wang, Huaijie, et al.
Published: (2024) -
Do Latent-CoT Models Think Step-by-Step? A Mechanistic Study on Sequential Reasoning Tasks
by: Liang, Jia, et al.
Published: (2026)