Test-Time Learning for Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Hu, Jinwu, Zhang, Zhitian, Chen, Guohao, Wen, Xutao, Shuai, Chao, Luo, Wei, Xiao, Bin, Li, Yuanqing, Tan, Mingkui |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Dynamic Compressing Prompts for Efficient Inference of Large Language Models
by: Hu, Jinwu, et al.
Published: (2025)
by: Hu, Jinwu, et al.
Published: (2025)
Continual Knowledge Adaptation for Reinforcement Learning
by: Hu, Jinwu, et al.
Published: (2025)
by: Hu, Jinwu, et al.
Published: (2025)
Precedent-Informed Reasoning: Mitigating Overthinking in Large Reasoning Models via Test-Time Precedent Learning
by: Wang, Qianyue, et al.
Published: (2026)
by: Wang, Qianyue, et al.
Published: (2026)
Beyond Fast and Slow: Cognitive-Inspired Elastic Reasoning for Large Language Models
by: Hu, Jinwu, et al.
Published: (2025)
by: Hu, Jinwu, et al.
Published: (2025)
Training-Free Test-Time Contrastive Learning for Large Language Models
by: Zheng, Kaiwen, et al.
Published: (2026)
by: Zheng, Kaiwen, et al.
Published: (2026)
Efficient Dynamic Ensembling for Multiple LLM Experts
by: Hu, Jinwu, et al.
Published: (2024)
by: Hu, Jinwu, et al.
Published: (2024)
Beyond Model Scaling: Test-Time Intervention for Efficient Deep Reasoning
by: Wang, Qianyue, et al.
Published: (2026)
by: Wang, Qianyue, et al.
Published: (2026)
Exploring Lightweight Large Language Models for Court View Generation
by: Hou, Zhitian, et al.
Published: (2026)
by: Hou, Zhitian, et al.
Published: (2026)
EvidFuse: Writing-Time Evidence Learning for Consistent Text-Chart Data Reporting
by: Lin, Huanxiang, et al.
Published: (2026)
by: Lin, Huanxiang, et al.
Published: (2026)
Pruning Large Language Models with Semi-Structural Adaptive Sparse Training
by: Huang, Weiyu, et al.
Published: (2024)
by: Huang, Weiyu, et al.
Published: (2024)
Large Language Models Meet Legal Artificial Intelligence: A Survey
by: Hou, Zhitian, et al.
Published: (2025)
by: Hou, Zhitian, et al.
Published: (2025)
Semi-supervised Fine-tuning for Large Language Models
by: Luo, Junyu, et al.
Published: (2024)
by: Luo, Junyu, et al.
Published: (2024)
ProtoDCS: Towards Robust and Efficient Open-Set Test-Time Adaptation for Vision-Language Models
by: Luo, Wei, et al.
Published: (2026)
by: Luo, Wei, et al.
Published: (2026)
Test-Time Fairness and Robustness in Large Language Models
by: Cotta, Leonardo, et al.
Published: (2024)
by: Cotta, Leonardo, et al.
Published: (2024)
FactAlign: Long-form Factuality Alignment of Large Language Models
by: Huang, Chao-Wei, et al.
Published: (2024)
by: Huang, Chao-Wei, et al.
Published: (2024)
Evaluating Quantized Large Language Models
by: Li, Shiyao, et al.
Published: (2024)
by: Li, Shiyao, et al.
Published: (2024)
MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization
by: Chen, Yuyan, et al.
Published: (2024)
by: Chen, Yuyan, et al.
Published: (2024)
Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning
by: Zhao, Shuai, et al.
Published: (2024)
by: Zhao, Shuai, et al.
Published: (2024)
Provable Scaling Laws for the Test-Time Compute of Large Language Models
by: Chen, Yanxi, et al.
Published: (2024)
by: Chen, Yanxi, et al.
Published: (2024)
Enhancing Perception Capabilities of Multimodal LLMs with Training-Free Fusion
by: Chen, Zhuokun, et al.
Published: (2024)
by: Chen, Zhuokun, et al.
Published: (2024)
Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs
by: Wang, Junjie, et al.
Published: (2024)
by: Wang, Junjie, et al.
Published: (2024)
Pre-trained Large Language Models for Financial Sentiment Analysis
by: Luo, Wei, et al.
Published: (2024)
by: Luo, Wei, et al.
Published: (2024)
SA-MDKIF: A Scalable and Adaptable Medical Domain Knowledge Injection Framework for Large Language Models
by: Xu, Tianhan, et al.
Published: (2024)
by: Xu, Tianhan, et al.
Published: (2024)
Tool Learning with Large Language Models: A Survey
by: Qu, Changle, et al.
Published: (2024)
by: Qu, Changle, et al.
Published: (2024)
Entity Alignment with Noisy Annotations from Large Language Models
by: Chen, Shengyuan, et al.
Published: (2024)
by: Chen, Shengyuan, et al.
Published: (2024)
G-SAP: Graph-based Structure-Aware Prompt Learning over Heterogeneous Knowledge for Commonsense Reasoning
by: Dai, Ruiting, et al.
Published: (2024)
by: Dai, Ruiting, et al.
Published: (2024)
Refine Knowledge of Large Language Models via Adaptive Contrastive Learning
by: Li, Yinghui, et al.
Published: (2025)
by: Li, Yinghui, et al.
Published: (2025)
Fake News Detection and Manipulation Reasoning via Large Vision-Language Models
by: Jin, Ruihan, et al.
Published: (2024)
by: Jin, Ruihan, et al.
Published: (2024)
RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response
by: Luo, Junyu, et al.
Published: (2024)
by: Luo, Junyu, et al.
Published: (2024)
A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?
by: Zhang, Qiyuan, et al.
Published: (2025)
by: Zhang, Qiyuan, et al.
Published: (2025)
A Survey on Efficient Inference for Large Language Models
by: Zhou, Zixuan, et al.
Published: (2024)
by: Zhou, Zixuan, et al.
Published: (2024)
LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?
by: Wang, Jingyuan, et al.
Published: (2025)
by: Wang, Jingyuan, et al.
Published: (2025)
Assessing Personalized AI Mentoring with Large Language Models in the Computing Field
by: Luo, Xiao, et al.
Published: (2024)
by: Luo, Xiao, et al.
Published: (2024)
Recent Advancement of Emotion Cognition in Large Language Models
by: Chen, Yuyan, et al.
Published: (2024)
by: Chen, Yuyan, et al.
Published: (2024)
Adaptive Rectification Sampling for Test-Time Compute Scaling
by: Tan, Zhendong, et al.
Published: (2025)
by: Tan, Zhendong, et al.
Published: (2025)
m1: Unleash the Potential of Test-Time Scaling for Medical Reasoning with Large Language Models
by: Huang, Xiaoke, et al.
Published: (2025)
by: Huang, Xiaoke, et al.
Published: (2025)
Think Again! The Effect of Test-Time Compute on Preferences, Opinions, and Beliefs of Large Language Models
by: Kour, George, et al.
Published: (2025)
by: Kour, George, et al.
Published: (2025)
MedAdapter: Efficient Test-Time Adaptation of Large Language Models towards Medical Reasoning
by: Shi, Wenqi, et al.
Published: (2024)
by: Shi, Wenqi, et al.
Published: (2024)
QUILL: Quotation Generation Enhancement of Large Language Models
by: Xiao, Jin, et al.
Published: (2024)
by: Xiao, Jin, et al.
Published: (2024)
Theory of Mind in Large Language Models: Assessment and Enhancement
by: Chen, Ruirui, et al.
Published: (2025)
by: Chen, Ruirui, et al.
Published: (2025)
Similar Items
-
Dynamic Compressing Prompts for Efficient Inference of Large Language Models
by: Hu, Jinwu, et al.
Published: (2025) -
Continual Knowledge Adaptation for Reinforcement Learning
by: Hu, Jinwu, et al.
Published: (2025) -
Precedent-Informed Reasoning: Mitigating Overthinking in Large Reasoning Models via Test-Time Precedent Learning
by: Wang, Qianyue, et al.
Published: (2026) -
Beyond Fast and Slow: Cognitive-Inspired Elastic Reasoning for Large Language Models
by: Hu, Jinwu, et al.
Published: (2025) -
Training-Free Test-Time Contrastive Learning for Large Language Models
by: Zheng, Kaiwen, et al.
Published: (2026)