Let's Learn Step by Step: Enhancing In-Context Learning Ability with Curriculum Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Yinpeng, Liu, Jiawei, Shi, Xiang, Cheng, Qikai, Huang, Yong, Lu, Wei |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Every Part Matters: Integrity Verification of Scientific Figures Based on Multimodal Large Language Models
by: Shi, Xiang, et al.
Published: (2024)
by: Shi, Xiang, et al.
Published: (2024)
Let's Be Self-generated via Step by Step: A Curriculum Learning Approach to Automated Reasoning with Large Language Models
by: Luo, Kangyang, et al.
Published: (2024)
by: Luo, Kangyang, et al.
Published: (2024)
Let's Simplify Step by Step: Guiding LLM Towards Multilingual Unsupervised Proficiency-Controlled Sentence Simplification
by: Zhang, Jingshen, et al.
Published: (2026)
by: Zhang, Jingshen, et al.
Published: (2026)
StepPO: Step-Aligned Policy Optimization for Agentic Reinforcement Learning
by: Wang, Daoyu, et al.
Published: (2026)
by: Wang, Daoyu, et al.
Published: (2026)
Let's Verify Math Questions Step by Step
by: Shen, Chengyu, et al.
Published: (2025)
by: Shen, Chengyu, et al.
Published: (2025)
Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs
by: Lyu, Zhiyi, et al.
Published: (2025)
by: Lyu, Zhiyi, et al.
Published: (2025)
Can Language Models Learn to Skip Steps?
by: Liu, Tengxiao, et al.
Published: (2024)
by: Liu, Tengxiao, et al.
Published: (2024)
StepTool: Enhancing Multi-Step Tool Usage in LLMs via Step-Grained Reinforcement Learning
by: Yu, Yuanqing, et al.
Published: (2024)
by: Yu, Yuanqing, et al.
Published: (2024)
Let's Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion Models
by: Liu, Shunyu, et al.
Published: (2024)
by: Liu, Shunyu, et al.
Published: (2024)
Agentic Reinforcement Learning with Implicit Step Rewards
by: Liu, Xiaoqian, et al.
Published: (2025)
by: Liu, Xiaoqian, et al.
Published: (2025)
Stephanie: Step-by-Step Dialogues for Mimicking Human Interactions in Social Conversations
by: Yang, Hao, et al.
Published: (2024)
by: Yang, Hao, et al.
Published: (2024)
Step-by-Step Mastery: Enhancing Soft Constraint Following Ability of Large Language Models
by: Ren, Qingyu, et al.
Published: (2025)
by: Ren, Qingyu, et al.
Published: (2025)
Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step
by: Guo, Ziyu, et al.
Published: (2025)
by: Guo, Ziyu, et al.
Published: (2025)
Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples
by: Liang, Yunhao, et al.
Published: (2025)
by: Liang, Yunhao, et al.
Published: (2025)
FaithRL: Learning to Reason Faithfully through Step-Level Faithfulness Maximization
by: Gui, Runquan, et al.
Published: (2026)
by: Gui, Runquan, et al.
Published: (2026)
Low-Resource Multi-Granularity Academic Function Recognition Based on Multiple Prompt Knowledge
by: Liu, Jiawei, et al.
Published: (2023)
by: Liu, Jiawei, et al.
Published: (2023)
R3-RAG: Learning Step-by-Step Reasoning and Retrieval for LLMs via Reinforcement Learning
by: Li, Yuan, et al.
Published: (2025)
by: Li, Yuan, et al.
Published: (2025)
Step Potential Advantage Estimation: Harnessing Intermediate Confidence and Correctness for Efficient Mathematical Reasoning
by: Wu, Fei, et al.
Published: (2026)
by: Wu, Fei, et al.
Published: (2026)
Reinforcing Compositional Retrieval: Retrieving Step-by-Step for Composing Informative Contexts
by: Long, Quanyu, et al.
Published: (2025)
by: Long, Quanyu, et al.
Published: (2025)
Stop Rewarding Hallucinated Steps: Faithfulness-Aware Step-Level Reinforcement Learning for Small Reasoning Models
by: Nie, Shuo, et al.
Published: (2026)
by: Nie, Shuo, et al.
Published: (2026)
STEPER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models
by: Lee, Kyumin, et al.
Published: (2025)
by: Lee, Kyumin, et al.
Published: (2025)
Are Emergent Abilities in Large Language Models just In-Context Learning?
by: Lu, Sheng, et al.
Published: (2023)
by: Lu, Sheng, et al.
Published: (2023)
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)
Towards Better Understanding of In-Context Learning Ability from In-Context Uncertainty Quantification
by: Liu, Shang, et al.
Published: (2024)
by: Liu, Shang, et al.
Published: (2024)
Enhancing the Medical Context-Awareness Ability of LLMs via Multifaceted Self-Refinement Learning
by: Zhou, Yuxuan, et al.
Published: (2025)
by: Zhou, Yuxuan, et al.
Published: (2025)
Curriculum Demonstration Selection for In-Context Learning
by: Vu, Duc Anh, et al.
Published: (2024)
by: Vu, Duc Anh, et al.
Published: (2024)
ICLEval: Evaluating In-Context Learning Ability of Large Language Models
by: Chen, Wentong, et al.
Published: (2024)
by: Chen, Wentong, et al.
Published: (2024)
PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving
by: Parmar, Mihir, et al.
Published: (2025)
by: Parmar, Mihir, et al.
Published: (2025)
Modality Equilibrium Matters: Minor-Modality-Aware Adaptive Alternating for Cross-Modal Memory Enhancement
by: Shi, Xiang, et al.
Published: (2025)
by: Shi, Xiang, et al.
Published: (2025)
Let's Fuse Step by Step: A Generative Fusion Decoding Algorithm with LLMs for Robust and Instruction-Aware ASR and OCR
by: Hsu, Chan-Jan, et al.
Published: (2024)
by: Hsu, Chan-Jan, et al.
Published: (2024)
StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback
by: Dou, Shihan, et al.
Published: (2024)
by: Dou, Shihan, et al.
Published: (2024)
XAI4LLM. Let Machine Learning Models and LLMs Collaborate for Enhanced In-Context Learning in Healthcare
by: Nazary, Fatemeh, et al.
Published: (2024)
by: Nazary, Fatemeh, et al.
Published: (2024)
Enhancing Multi-Step Reasoning Abilities of Language Models through Direct Q-Function Optimization
by: Ji, Kaixuan, et al.
Published: (2024)
by: Ji, Kaixuan, et al.
Published: (2024)
Learning to Reason for Multi-Step Retrieval of Personal Context in Personalized Question Answering
by: Amirizaniani, Maryam, et al.
Published: (2026)
by: Amirizaniani, Maryam, et al.
Published: (2026)
Black-Box Opinion Manipulation Attacks to Retrieval-Augmented Generation of Large Language Models
by: Chen, Zhuo, et al.
Published: (2024)
by: Chen, Zhuo, et al.
Published: (2024)
SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control
by: He, Xingyang, et al.
Published: (2025)
by: He, Xingyang, et al.
Published: (2025)
Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step
by: Li, Liunian Harold, et al.
Published: (2023)
by: Li, Liunian Harold, et al.
Published: (2023)
From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step
by: Deng, Yuntian, et al.
Published: (2024)
by: Deng, Yuntian, et al.
Published: (2024)
Identifying while Learning for Document Event Causality Identification
by: Liu, Cheng, et al.
Published: (2024)
by: Liu, Cheng, et al.
Published: (2024)
StepSearch: Igniting LLMs Search Ability via Step-Wise Proximal Policy Optimization
by: Wang, Ziliang, et al.
Published: (2025)
by: Wang, Ziliang, et al.
Published: (2025)
Similar Items
-
Every Part Matters: Integrity Verification of Scientific Figures Based on Multimodal Large Language Models
by: Shi, Xiang, et al.
Published: (2024) -
Let's Be Self-generated via Step by Step: A Curriculum Learning Approach to Automated Reasoning with Large Language Models
by: Luo, Kangyang, et al.
Published: (2024) -
Let's Simplify Step by Step: Guiding LLM Towards Multilingual Unsupervised Proficiency-Controlled Sentence Simplification
by: Zhang, Jingshen, et al.
Published: (2026) -
StepPO: Step-Aligned Policy Optimization for Agentic Reinforcement Learning
by: Wang, Daoyu, et al.
Published: (2026) -
Let's Verify Math Questions Step by Step
by: Shen, Chengyu, et al.
Published: (2025)