Poster "test-time scaling" Papers
18 papers found
Conference
AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks
Fali Wang, Hui Liu, Zhenwei Dai et al.
Atom of Thoughts for Markov LLM Test-Time Scaling
Fengwei Teng, Quan Shi, Zhaoyang Yu et al.
DreamPRM: Domain-reweighted Process Reward Model for Multimodal Reasoning
Qi Cao, Ruiyi Wang, Ruiyi Zhang et al.
Every Rollout Counts: Optimal Resource Allocation for Efficient Test-Time Scaling
Xinglin Wang, Yiwei Li, Shaoxiong Feng et al.
Generation as Search Operator for Test-Time Scaling of Diffusion-based Combinatorial Optimization
Yang Li, Lvda Chen, Haonan Wang et al.
ImageGen-CoT: Enhancing Text-to-Image In-context Learning with Chain-of-Thought Reasoning
Jiaqi Liao, Zhengyuan Yang, Linjie Li et al.
Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for LLM Problem-Solving
Yangzhen Wu, Zhiqing Sun, Shanda Li et al.
Kinetics: Rethinking Test-Time Scaling Law
Ranajoy Sadhukhan, Zhuoming Chen, Haizhong Zheng et al.
LLaVA-CoT: Let Vision Language Models Reason Step-by-Step
Guowei Xu, Peng Jin, ZiangWu ZiangWu et al.
Noise Hypernetworks: Amortizing Test-Time Compute in Diffusion Models
Luca Eyring, Shyamgopal Karthik, Alexey Dosovitskiy et al.
Quality-Driven Curation of Remote Sensing Vision-Language Data via Learned Scoring Models
Dilxat Muhtar, Enzhuo Zhang, Zhenshi Li et al.
R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing
Tianyu Fu, Yi Ge, Yichen You et al.
Representation Consistency for Accurate and Coherent LLM Answer Aggregation
Junqi Jiang, Tom Bewley, Salim I. Amoukou et al.
SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search
Dong Li, Xujiang Zhao, Linlin Yu et al.
Thinking vs. Doing: Improving Agent Reasoning by Scaling Test-Time Interaction
Junhong Shen, Hao Bai, Lunjun Zhang et al.
TTRL: Test-Time Reinforcement Learning
Yuxin Zuo, Kaiyan Zhang, Li Sheng et al.
Unlocking Multimodal Mathematical Reasoning via Process Reward Model
Ruilin Luo, Zhuofan Zheng, Lei Wang et al.
Video-T1: Test-time Scaling for Video Generation
Fangfu Liu, Hanyang Wang, Yimo Cai et al.