Beyond the Prompt in Large Language Models: Comprehension, In-Context Learning, and Chain-of-Thought
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Jiao, Yuling, Lai, Yanming, Lin, Huazhen, Ma, Wensen, Qi, Houduo, Sun, Defeng |
|---|---|
| Format: | Preprint |
| Publié: |
2026
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Adv-SSL: Adversarial Self-Supervised Representation Learning with Theoretical Guarantees
par: Duan, Chenguang, et autres
Publié: (2024)
par: Duan, Chenguang, et autres
Publié: (2024)
Distribution Matching for Self-Supervised Transfer Learning
par: Jiao, Yuling, et autres
Publié: (2025)
par: Jiao, Yuling, et autres
Publié: (2025)
A Survey on Large Language Model-based Agents for Statistics and Data Science
par: Sun, Maojun, et autres
Publié: (2024)
par: Sun, Maojun, et autres
Publié: (2024)
Approximation Bounds for Transformer Networks with Application to Regression
par: Jiao, Yuling, et autres
Publié: (2025)
par: Jiao, Yuling, et autres
Publié: (2025)
Olica: Efficient Structured Pruning of Large Language Models without Retraining
par: He, Jiujun, et autres
Publié: (2025)
par: He, Jiujun, et autres
Publié: (2025)
Enhancing Granular Sentiment Classification with Chain-of-Thought Prompting in Large Language Models
par: Miriyala, Vihaan, et autres
Publié: (2025)
par: Miriyala, Vihaan, et autres
Publié: (2025)
Standard Transformers Achieve the Minimax Rate in Nonparametric Regression with $C^{s,λ}$ Targets
par: Lai, Yanming, et autres
Publié: (2026)
par: Lai, Yanming, et autres
Publié: (2026)
Deep Transfer Learning: Model Framework and Error Analysis
par: Jiao, Yuling, et autres
Publié: (2024)
par: Jiao, Yuling, et autres
Publié: (2024)
Leveraging Large Language Models with Chain-of-Thought and Prompt Engineering for Traffic Crash Severity Analysis and Inference
par: Zhen, Hao, et autres
Publié: (2024)
par: Zhen, Hao, et autres
Publié: (2024)
Fragile Thoughts: How Large Language Models Handle Chain-of-Thought Perturbations
par: Aravindan, Ashwath Vaithinathan, et autres
Publié: (2026)
par: Aravindan, Ashwath Vaithinathan, et autres
Publié: (2026)
Latent Schr{ö}dinger Bridge Diffusion Model for Generative Learning
par: Jiao, Yuling, et autres
Publié: (2024)
par: Jiao, Yuling, et autres
Publié: (2024)
Compositional Chain-of-Thought Prompting for Large Multimodal Models
par: Mitra, Chancharik, et autres
Publié: (2023)
par: Mitra, Chancharik, et autres
Publié: (2023)
Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models
par: Ye, Jiacheng, et autres
Publié: (2024)
par: Ye, Jiacheng, et autres
Publié: (2024)
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models
par: Wen, Yilin, et autres
Publié: (2023)
par: Wen, Yilin, et autres
Publié: (2023)
RIPPLECOT: Amplifying Ripple Effect of Knowledge Editing in Language Models via Chain-of-Thought In-Context Learning
par: Zhao, Zihao, et autres
Publié: (2024)
par: Zhao, Zihao, et autres
Publié: (2024)
Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models
par: Cui, Yingqian, et autres
Publié: (2025)
par: Cui, Yingqian, et autres
Publié: (2025)
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs
par: Jin, Bowen, et autres
Publié: (2024)
par: Jin, Bowen, et autres
Publié: (2024)
Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning
par: Paul, Bidyarthi, et autres
Publié: (2025)
par: Paul, Bidyarthi, et autres
Publié: (2025)
SmartThinker: Progressive Chain-of-Thought Length Calibration for Efficient Large Language Model Reasoning
par: Hu, Chenzhi, et autres
Publié: (2026)
par: Hu, Chenzhi, et autres
Publié: (2026)
Learning to Rank Chain-of-Thought: Using a Small Model
par: Jiang, Eric Hanchen, et autres
Publié: (2025)
par: Jiang, Eric Hanchen, et autres
Publié: (2025)
How Can Large Language Models Understand Spatial-Temporal Data?
par: Liu, Lei, et autres
Publié: (2024)
par: Liu, Lei, et autres
Publié: (2024)
Multilingual OCR-Aware Fine-Tuning and Prompt-Guided Chain-of-Thought Reasoning for Multimodal Large Language Models
par: Xu, Qinwu, et autres
Publié: (2026)
par: Xu, Qinwu, et autres
Publié: (2026)
PathCoT: Chain-of-Thought Prompting for Zero-shot Pathology Visual Reasoning
par: Zhou, Junjie, et autres
Publié: (2025)
par: Zhou, Junjie, et autres
Publié: (2025)
Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond
par: Wang, Xinyu, et autres
Publié: (2024)
par: Wang, Xinyu, et autres
Publié: (2024)
PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation
par: Fan, Tao, et autres
Publié: (2025)
par: Fan, Tao, et autres
Publié: (2025)
Uncertainty Quantification for In-Context Learning of Large Language Models
par: Ling, Chen, et autres
Publié: (2024)
par: Ling, Chen, et autres
Publié: (2024)
Convergence Analysis of Flow Matching in Latent Space with Transformers
par: Jiao, Yuling, et autres
Publié: (2024)
par: Jiao, Yuling, et autres
Publié: (2024)
Feature Extraction and Steering for Enhanced Chain-of-Thought Reasoning in Language Models
par: Li, Zihao, et autres
Publié: (2025)
par: Li, Zihao, et autres
Publié: (2025)
Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs
par: Zhang, Xuan, et autres
Publié: (2024)
par: Zhang, Xuan, et autres
Publié: (2024)
Benchmarking Large Language Model Uncertainty for Prompt Optimization
par: Guo, Pei-Fu, et autres
Publié: (2024)
par: Guo, Pei-Fu, et autres
Publié: (2024)
BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models
par: Xiang, Zhen, et autres
Publié: (2024)
par: Xiang, Zhen, et autres
Publié: (2024)
SQuARE: Sequential Question Answering Reasoning Engine for Enhanced Chain-of-Thought in Large Language Models
par: Fleischer, Daniel, et autres
Publié: (2025)
par: Fleischer, Daniel, et autres
Publié: (2025)
Constraint-Rectified Training for Efficient Chain-of-Thought
par: Wu, Qinhang, et autres
Publié: (2026)
par: Wu, Qinhang, et autres
Publié: (2026)
Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language Models
par: Wang, Xindi, et autres
Publié: (2024)
par: Wang, Xindi, et autres
Publié: (2024)
Large Language Model Prompt Datasets: An In-depth Analysis and Insights
par: Zhang, Yuanming, et autres
Publié: (2025)
par: Zhang, Yuanming, et autres
Publié: (2025)
Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling
par: Xu, Weijia, et autres
Publié: (2023)
par: Xu, Weijia, et autres
Publié: (2023)
Unveiling the Statistical Foundations of Chain-of-Thought Prompting Methods
par: Hu, Xinyang, et autres
Publié: (2024)
par: Hu, Xinyang, et autres
Publié: (2024)
LAMBDA: A Large Model Based Data Agent
par: Sun, Maojun, et autres
Publié: (2024)
par: Sun, Maojun, et autres
Publié: (2024)
A Comprehensive Survey on Long Context Language Modeling
par: Liu, Jiaheng, et autres
Publié: (2025)
par: Liu, Jiaheng, et autres
Publié: (2025)
Chain-of-Defensive-Thought: Structured Reasoning Elicits Robustness in Large Language Models against Reference Corruption
par: Wang, Wenxiao, et autres
Publié: (2025)
par: Wang, Wenxiao, et autres
Publié: (2025)
Documents similaires
-
Adv-SSL: Adversarial Self-Supervised Representation Learning with Theoretical Guarantees
par: Duan, Chenguang, et autres
Publié: (2024) -
Distribution Matching for Self-Supervised Transfer Learning
par: Jiao, Yuling, et autres
Publié: (2025) -
A Survey on Large Language Model-based Agents for Statistics and Data Science
par: Sun, Maojun, et autres
Publié: (2024) -
Approximation Bounds for Transformer Networks with Application to Regression
par: Jiao, Yuling, et autres
Publié: (2025) -
Olica: Efficient Structured Pruning of Large Language Models without Retraining
par: He, Jiujun, et autres
Publié: (2025)