Papers
4,184 papers found
Evaluating Test-Time Scaling LLMs for Legal Reasoning: OpenAI o1, DeepSeek-R1, and Beyond
Yinghao Hu, Yaoyao Yu, Leilei Gan et al.
Faster and Better LLMs via Latency-Aware Test-Time Scaling
Zili Wang, Tianyu Zhang, Haoli Bai et al.
Think Right, Not More: Test-Time Scaling for Numerical Claim Verification
Primakov Chungkham, Venktesh V, Vinay Setty et al.
Thinking Before You Speak: A Proactive Test-time Scaling Approach
Cong Liu, Wenchang Chai, Hejun Wu et al.
Evaluating the Role of Verifiers in Test-Time Scaling for Legal Reasoning Tasks
Davide Romano, Jonathan Richard Schwarz, Daniele Giofrè
BoN Appetit Team at LeWiDi-2025: Best-of-N Test-time Scaling Can Not Stomach Annotation Disagreements (Yet)
Tomas Ruiz, Siyao Peng, Barbara Plank et al.
Video-T1: Test-time Scaling for Video Generation
Fangfu Liu, Hanyang Wang, Yimo Cai et al.
Visual Test-time Scaling for GUI Agent Grounding
Tiange Luo, Lajanugen Logeswaran, Justin Johnson et al.
Learning a Continue-Thinking Token for Enhanced Test-Time Scaling
Liran Ringel, Elad Tolochinsky, Yaniv Romano
Test-Time Scaling of Reasoning Models for Machine Translation
Zihao Li, Shaoxiong Ji, Jörg Tiedemann
Thinking Long, but Short: Stable Sequential Test-Time Scaling for Large Reasoning Models
Michael R. Metel, Yufei Cui, Boxing Chen et al.
From Mathematical Reasoning to Code: Generalization of Process Reward Models in Test-Time Scaling
Zhengyu Chen, Yudong Wang, Teng Xiao et al.
SCALE: Selective Resource Allocation for Overcoming Performance Bottlenecks in Mathematical Test-time Scaling
Yang Xiao, Chunpu Xu, Ruifeng Yuan et al.
TestNUC: Enhancing Test-Time Computing Approaches and Scaling through Neighboring Unlabeled Data Consistency
Henry Peng Zou, Zhengyao Gu, Yue Zhou et al.
TeST: Test-Time Self-Training Under Distribution Shift
Samarth Sinha, Peter Gehler, Francesco Locatello et al.
TEST-V: TEst-time Support-set Tuning for Zero-shot Video Classification
Rui Yan, Jin Wang, Hongyu Qu et al.
Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation
HyunGi Kim, Siwon Kim, Jisoo Mok et al.
MedBN: Robust Test-Time Adaptation against Malicious Test Samples
Hyejin Park, Jeongyeon Hwang, Sunung Mun et al.
Advancing Test-Time Adaptation in Wild Acoustic Test Settings
Hongfu Liu, Hengguan Huang, Ye Wang
When Model Meets New Normals: Test-Time Adaptation for Unsupervised Time-Series Anomaly Detection
Dongmin Kim, Sunghyun Park, Jaegul Choo
CANDI: Curated Test-Time Adaptation for Multivariate Time-Series Anomaly Detection Under Distribution Shift
HyunGi Kim, Jisoo Mok, Hyungyu Lee et al.
Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation
Ziyang Chen, Yongsheng Pan, Yiwen Ye et al.
Extrapolative Continuous-time Bayesian Neural Network for Fast Training-free Test-time Adaptation
Hengguan Huang, Xiangming Gu, Hao Wang et al.
Learning Loss for Test-Time Augmentation
Ildoo Kim, Younghoon Kim, Sungwoong Kim