Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Sun, Jiashuo, Luo, Yi, Gong, Yeyun, Lin, Chen, Shen, Yelong, Guo, Jian, Duan, Nan |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models
by: Luo, Yi, et al.
Published: (2024)
by: Luo, Yi, et al.
Published: (2024)
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
by: Gou, Zhibin, et al.
Published: (2023)
by: Gou, Zhibin, et al.
Published: (2023)
Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning
by: Huang, Yiming, et al.
Published: (2024)
by: Huang, Yiming, et al.
Published: (2024)
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
by: Gou, Zhibin, et al.
Published: (2023)
by: Gou, Zhibin, et al.
Published: (2023)
Rho-1: Not All Tokens Are What You Need
by: Lin, Zhenghao, et al.
Published: (2024)
by: Lin, Zhenghao, et al.
Published: (2024)
Enhancing Depression Detection with Chain-of-Thought Prompting: From Emotion to Reasoning Using Large Language Models
by: Teng, Shiyu, et al.
Published: (2025)
by: Teng, Shiyu, et al.
Published: (2025)
Competition-Level Problems are Effective LLM Evaluators
by: Huang, Yiming, et al.
Published: (2023)
by: Huang, Yiming, et al.
Published: (2023)
Adapting LLM Agents with Universal Feedback in Communication
by: Wang, Kuan, et al.
Published: (2023)
by: Wang, Kuan, et al.
Published: (2023)
Implicit Sentiment Analysis Based on Chain of Thought Prompting
by: Duan, Zhihua, et al.
Published: (2024)
by: Duan, Zhihua, et al.
Published: (2024)
ECCoT: A Framework for Enhancing Effective Cognition via Chain of Thought in Large Language Model
by: Duan, Zhenke, et al.
Published: (2025)
by: Duan, Zhenke, et al.
Published: (2025)
Generalizable Chain-of-Thought Prompting in Mixed-task Scenarios with Large Language Models
by: Zou, Anni, et al.
Published: (2023)
by: Zou, Anni, et al.
Published: (2023)
Enhancing Large Language Model Performance with Gradient-Based Parameter Selection
by: Li, Haoling, et al.
Published: (2024)
by: Li, Haoling, et al.
Published: (2024)
Exploring the Mystery of Influential Data for Mathematical Reasoning
by: Ni, Xinzhe, et al.
Published: (2024)
by: Ni, Xinzhe, et al.
Published: (2024)
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)
by: Yan, Shaotian, et al.
Published: (2025)
Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models
by: Ye, Jiacheng, et al.
Published: (2024)
by: Ye, Jiacheng, et al.
Published: (2024)
Iterative Prompting with Persuasion Skills in Jailbreaking Large Language Models
by: Ke, Shih-Wen, et al.
Published: (2025)
by: Ke, Shih-Wen, et al.
Published: (2025)
APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning
by: Sun, Jiashuo, et al.
Published: (2022)
by: Sun, Jiashuo, et al.
Published: (2022)
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
by: Sun, Jiashuo, et al.
Published: (2023)
by: Sun, Jiashuo, et al.
Published: (2023)
Enhancing Emotional Generation Capability of Large Language Models via Emotional Chain-of-Thought
by: Li, Zaijing, et al.
Published: (2024)
by: Li, Zaijing, et al.
Published: (2024)
Expediting and Elevating Large Language Model Reasoning via Hidden Chain-of-Thought Decoding
by: Liu, Tianqiao, et al.
Published: (2024)
by: Liu, Tianqiao, et al.
Published: (2024)
CoAT: Chain-of-Associated-Thoughts Framework for Enhancing Large Language Models Reasoning
by: Pan, Jianfeng, et al.
Published: (2025)
by: Pan, Jianfeng, et al.
Published: (2025)
Active Prompting with Chain-of-Thought for Large Language Models
by: Diao, Shizhe, et al.
Published: (2023)
by: Diao, Shizhe, et al.
Published: (2023)
When Chain-of-Thought Backfires: Evaluating Prompt Sensitivity in Medical Language Models
by: Sadanandan, Binesh, et al.
Published: (2026)
by: Sadanandan, Binesh, et al.
Published: (2026)
Debiasing Large Language Models via Adaptive Causal Prompting with Sketch-of-Thought
by: Li, Bowen, et al.
Published: (2026)
by: Li, Bowen, et al.
Published: (2026)
FedCoT: Federated Chain-of-Thought Distillation for Large Language Models
by: Fan, Tao, et al.
Published: (2024)
by: Fan, Tao, et al.
Published: (2024)
Compositional Chain-of-Thought Prompting for Large Multimodal Models
by: Mitra, Chancharik, et al.
Published: (2023)
by: Mitra, Chancharik, et al.
Published: (2023)
Injecting Salesperson's Dialogue Strategies in Large Language Models with Chain-of-Thought Reasoning
by: Chang, Wen-Yu, et al.
Published: (2024)
by: Chang, Wen-Yu, et al.
Published: (2024)
Context Over Compute Human-in-the-Loop Outperforms Iterative Chain-of-Thought Prompting in Interview Answer Quality
by: Zhu, Kewen, et al.
Published: (2026)
by: Zhu, Kewen, et al.
Published: (2026)
Latent Chain-of-Thought for Visual Reasoning
by: Sun, Guohao, et al.
Published: (2025)
by: Sun, Guohao, et al.
Published: (2025)
Applying Large Language Models and Chain-of-Thought for Automatic Scoring
by: Lee, Gyeong-Geon, et al.
Published: (2023)
by: Lee, Gyeong-Geon, et al.
Published: (2023)
Enhancing Chain-of-Thought Reasoning with Critical Representation Fine-tuning
by: Huang, Chenxi, et al.
Published: (2025)
by: Huang, Chenxi, et al.
Published: (2025)
Overcoming Vocabulary Mismatch: Vocabulary-agnostic Teacher Guided Language Modeling
by: Shin, Haebin, et al.
Published: (2025)
by: Shin, Haebin, et al.
Published: (2025)
Leveraging Large Language Models with Chain-of-Thought and Prompt Engineering for Traffic Crash Severity Analysis and Inference
by: Zhen, Hao, et al.
Published: (2024)
by: Zhen, Hao, et al.
Published: (2024)
Fragile Thoughts: How Large Language Models Handle Chain-of-Thought Perturbations
by: Aravindan, Ashwath Vaithinathan, et al.
Published: (2026)
by: Aravindan, Ashwath Vaithinathan, et al.
Published: (2026)
Are Large Language Models Good Prompt Optimizers?
by: Ma, Ruotian, et al.
Published: (2024)
by: Ma, Ruotian, et al.
Published: (2024)
Iterative Translation Refinement with Large Language Models
by: Chen, Pinzhen, et al.
Published: (2023)
by: Chen, Pinzhen, et al.
Published: (2023)
Generative Prompt Internalization
by: Shin, Haebin, et al.
Published: (2024)
by: Shin, Haebin, et al.
Published: (2024)
Policy Frameworks for Transparent Chain-of-Thought Reasoning in Large Language Models
by: Chen, Yihang, et al.
Published: (2025)
by: Chen, Yihang, et al.
Published: (2025)
CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models
by: Li, Feiyang, et al.
Published: (2025)
by: Li, Feiyang, et al.
Published: (2025)
General Purpose Verification for Chain of Thought Prompting
by: Vacareanu, Robert, et al.
Published: (2024)
by: Vacareanu, Robert, et al.
Published: (2024)
Similar Items
-
Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models
by: Luo, Yi, et al.
Published: (2024) -
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
by: Gou, Zhibin, et al.
Published: (2023) -
Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning
by: Huang, Yiming, et al.
Published: (2024) -
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
by: Gou, Zhibin, et al.
Published: (2023) -
Rho-1: Not All Tokens Are What You Need
by: Lin, Zhenghao, et al.
Published: (2024)