Chain of Methodologies: Scaling Test Time Computation without Training
Fuente:
arXiv
Guardado en:
| Autores principales: | Liu, Cong, Wu, Jie, Wu, Weigang, Chen, Xu, Lin, Liang, Zheng, Wei-Shi |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Cool-Fusion: Fuse Large Language Models without Training
por: Liu, Cong, et al.
Publicado: (2024)
por: Liu, Cong, et al.
Publicado: (2024)
Thinking Before You Speak: A Proactive Test-time Scaling Approach
por: Liu, Cong, et al.
Publicado: (2025)
por: Liu, Cong, et al.
Publicado: (2025)
Parallel Loop Transformer for Efficient Test-Time Computation Scaling
por: Wu, Bohong, et al.
Publicado: (2025)
por: Wu, Bohong, et al.
Publicado: (2025)
Beyond Single-Granularity Prompts: A Multi-Scale Chain-of-Thought Prompt Learning for Graph
por: Zheng, Ziyu, et al.
Publicado: (2025)
por: Zheng, Ziyu, et al.
Publicado: (2025)
SoftCoT++: Test-Time Scaling with Soft Chain-of-Thought Reasoning
por: Xu, Yige, et al.
Publicado: (2025)
por: Xu, Yige, et al.
Publicado: (2025)
Training LLMs for Divide-and-Conquer Reasoning Elevates Test-Time Scalability
por: Liang, Xiao, et al.
Publicado: (2026)
por: Liang, Xiao, et al.
Publicado: (2026)
Towards Thinking-Optimal Scaling of Test-Time Compute for LLM Reasoning
por: Yang, Wenkai, et al.
Publicado: (2025)
por: Yang, Wenkai, et al.
Publicado: (2025)
Inverse Scaling in Test-Time Compute
por: Gema, Aryo Pradipta, et al.
Publicado: (2025)
por: Gema, Aryo Pradipta, et al.
Publicado: (2025)
Self-Trained Verification for Training- and Test-Time Self-Improvement
por: Wu, Chen Henry, et al.
Publicado: (2026)
por: Wu, Chen Henry, et al.
Publicado: (2026)
Test-Time Scaling Makes Overtraining Compute-Optimal
por: Roberts, Nicholas, et al.
Publicado: (2026)
por: Roberts, Nicholas, et al.
Publicado: (2026)
LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling
por: Zheng, Tong, et al.
Publicado: (2026)
por: Zheng, Tong, et al.
Publicado: (2026)
Constraint-Rectified Training for Efficient Chain-of-Thought
por: Wu, Qinhang, et al.
Publicado: (2026)
por: Wu, Qinhang, et al.
Publicado: (2026)
T$^2$: An Adaptive Test-Time Scaling Strategy for Contextual Question Answering
por: Zhao, Zhengyi, et al.
Publicado: (2025)
por: Zhao, Zhengyi, et al.
Publicado: (2025)
Chronos: Learning Temporal Dynamics of Reasoning Chains for Test-Time Scaling
por: Zhang, Kai, et al.
Publicado: (2026)
por: Zhang, Kai, et al.
Publicado: (2026)
It's Not That Simple. An Analysis of Simple Test-Time Scaling
por: Wu, Guojun
Publicado: (2025)
por: Wu, Guojun
Publicado: (2025)
Synthesizing Privacy-Preserving Text Data via Finetuning without Finetuning Billion-Scale LLMs
por: Tan, Bowen, et al.
Publicado: (2025)
por: Tan, Bowen, et al.
Publicado: (2025)
Scaling Reasoning without Attention
por: Zhao, Xueliang, et al.
Publicado: (2025)
por: Zhao, Xueliang, et al.
Publicado: (2025)
Test-Time Detoxification without Training or Learning Anything
por: Saglam, Baturay, et al.
Publicado: (2026)
por: Saglam, Baturay, et al.
Publicado: (2026)
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention
por: MiniMax, et al.
Publicado: (2025)
por: MiniMax, et al.
Publicado: (2025)
The Art of Scaling Test-Time Compute for Large Language Models
por: Agarwal, Aradhye, et al.
Publicado: (2025)
por: Agarwal, Aradhye, et al.
Publicado: (2025)
Mode-Conditioning Unlocks Superior Test-Time Scaling
por: Wu, Chen Henry, et al.
Publicado: (2025)
por: Wu, Chen Henry, et al.
Publicado: (2025)
Kinetics: Rethinking Test-Time Scaling Laws
por: Sadhukhan, Ranajoy, et al.
Publicado: (2025)
por: Sadhukhan, Ranajoy, et al.
Publicado: (2025)
EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test
por: Li, Yuhui, et al.
Publicado: (2025)
por: Li, Yuhui, et al.
Publicado: (2025)
Reusing Pre-Training Data at Test Time is a Compute Multiplier
por: Fang, Alex, et al.
Publicado: (2025)
por: Fang, Alex, et al.
Publicado: (2025)
Test-Time Scaling with Reflective Generative Model
por: Wang, Zixiao, et al.
Publicado: (2025)
por: Wang, Zixiao, et al.
Publicado: (2025)
Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning
por: Bi, Zhenni, et al.
Publicado: (2024)
por: Bi, Zhenni, et al.
Publicado: (2024)
Adaptive Rectification Sampling for Test-Time Compute Scaling
por: Tan, Zhendong, et al.
Publicado: (2025)
por: Tan, Zhendong, et al.
Publicado: (2025)
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
por: Snell, Charlie, et al.
Publicado: (2024)
por: Snell, Charlie, et al.
Publicado: (2024)
Atom of Thoughts for Markov LLM Test-Time Scaling
por: Teng, Fengwei, et al.
Publicado: (2025)
por: Teng, Fengwei, et al.
Publicado: (2025)
Llasa: Scaling Train-Time and Inference-Time Compute for Llama-based Speech Synthesis
por: Ye, Zhen, et al.
Publicado: (2025)
por: Ye, Zhen, et al.
Publicado: (2025)
MiLorE-SSL: Scaling Multilingual Capabilities in Self-Supervised Models without Forgetting
por: Xu, Jing, et al.
Publicado: (2026)
por: Xu, Jing, et al.
Publicado: (2026)
Scaling Code-Assisted Chain-of-Thoughts and Instructions for Model Reasoning
por: Lin, Honglin, et al.
Publicado: (2025)
por: Lin, Honglin, et al.
Publicado: (2025)
On the Role of Temperature Sampling in Test-Time Scaling
por: Wu, Yuheng, et al.
Publicado: (2025)
por: Wu, Yuheng, et al.
Publicado: (2025)
Mixed Chain-of-Psychotherapies for Emotional Support Chatbot
por: Chen, Siyuan, et al.
Publicado: (2024)
por: Chen, Siyuan, et al.
Publicado: (2024)
FLOP-Efficient Training: Early Stopping Based on Test-Time Compute Awareness
por: Amer, Hossam, et al.
Publicado: (2026)
por: Amer, Hossam, et al.
Publicado: (2026)
ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition
por: Meng, Qingliang, et al.
Publicado: (2025)
por: Meng, Qingliang, et al.
Publicado: (2025)
Scaling Test-Time Compute Without Verification or RL is Suboptimal
por: Setlur, Amrith, et al.
Publicado: (2025)
por: Setlur, Amrith, et al.
Publicado: (2025)
Adaptive Test-Time Scaling for Zero-Shot Respiratory Audio Classification
por: Wang, Tsai-Ning, et al.
Publicado: (2026)
por: Wang, Tsai-Ning, et al.
Publicado: (2026)
Scaling Test-Time Compute for Agentic Coding
por: Kim, Joongwon, et al.
Publicado: (2026)
por: Kim, Joongwon, et al.
Publicado: (2026)
GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning
por: Zhao, Jian, et al.
Publicado: (2025)
por: Zhao, Jian, et al.
Publicado: (2025)
Ejemplares similares
-
Cool-Fusion: Fuse Large Language Models without Training
por: Liu, Cong, et al.
Publicado: (2024) -
Thinking Before You Speak: A Proactive Test-time Scaling Approach
por: Liu, Cong, et al.
Publicado: (2025) -
Parallel Loop Transformer for Efficient Test-Time Computation Scaling
por: Wu, Bohong, et al.
Publicado: (2025) -
Beyond Single-Granularity Prompts: A Multi-Scale Chain-of-Thought Prompt Learning for Graph
por: Zheng, Ziyu, et al.
Publicado: (2025) -
SoftCoT++: Test-Time Scaling with Soft Chain-of-Thought Reasoning
por: Xu, Yige, et al.
Publicado: (2025)