Test Time

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5 papers in the last 28 days · 0.1% of indexed attention

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Period ending 2026-09-14

3 new papers

A weekly snapshot of new work published in Test Time.

Period ending 2026-09-07

1 new paper

A weekly snapshot of new work published in Test Time.

87 papers

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An Open Recipe for IMO Gold: Training Nemotron for Olympiad Mathematics
Sep 12, 2026Ivan Moshkov, Stephen Ge, George Armstrong +3Olympiad-Level Problem Test Time
A Removal Based Approach to Improve LLM Faithfulness at Test-Time
Sep 7, 2026Qinglan Luo, S M A Nahian, John Guttag +2Large Language Model Reliability Test Time
Rethinking Indirect Prompt Injection as a Test-Time Search Problem
Sep 7, 2026Duong M. Nguyen, Joon Sik Kim, Blazej Manczak +1Indirect Prompt Injection Attack Surface
What Else Needs Fixing? Exploring Cost-Effective Test-Time Compute for Revision Propagation in Artifacts Generated Through Conversation
Sep 3, 2026Daisuke KikutaTest Time
HSRM: Hidden-State Reward Models for Test-Time Verification
Aug 31, 2026Xianzhi Li, Xiaodan ZhuVerifiable Rewards Verification
Claim-Level Reliability Assessment for Efficient Test-Time Reasoning
Aug 12, 2026Sen Xu, Wei Wang, Shixi Liu +5Falsification Reliability
Consilience for Verifier-Free Test-Time Scaling
Aug 10, 2026Lecheng Kong, Like Hui, Haitao Mao +1Test-Time Scaling Test Time
Reproducing and Stress-Testing Two Approaches to LLM Reasoning Reliability: Test-Time Probability Aggregation and Logic-Representation Editing
Aug 9, 2026Minhan Cho, Jimin KweonLLM Reasoning Methods Reliability
Thought-Level Beam Search for Reasoning
Aug 8, 2026Lijie Yang, Hongyin Luo, Jiawei Zhao +2Large Reasoning Models Test Time
Thinking Hard, Not Smart: Reasoning Models Fail to Ration Test-Time Compute Across Questions
Aug 8, 2026Chenrui Fan, Yize Cheng, Ming Li +3Large Reasoning Models Test Time
CoBa: Cost-Effective Test-Time Scaling via Compute-Balanced Routing
Aug 7, 2026Yan Zhou, Yue Ouyang, Kaiyang Zheng +1Test-Time Scaling Test Time
Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning
Aug 6, 2026Ahsan Bilal, Muhammad Ahmed Mohsin, Muhammad Umer +4LLM Reasoning Methods Test Time
Consistency-Driven Co-Evolution for Self-Supervised Cross-Representation Learning
Aug 5, 2026Xuehang Guo, Pengyuan Li, Tom Hope +3Self-Supervised Representations Co-Evolution
Interpretable Adaptive Sampling for LLM Test-Time Scaling
Aug 4, 2026Mobina Kashaniyan, Ali JannesariTest-Time Scaling Test Time
Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach
Aug 4, 2026Tianbao Jiang, Weicong Ni, Gerard de Melo +1Visual Reasoning Test Time
It's the Decoding Format, Not the Perturbation: Auditing Consistency-Based Selection for Vision-Language Test-Time Scaling
Aug 2, 2026Puzhuo Zheng, Hasan KurbanTextvqa Test Time
PeCA: Palette Context Assisted Inference for Test-Time Paint-Bucket Colourisation on Animation Videos
Aug 2, 2026Dongheng Lin, Jianbo JiaoColor Animation
SVR: Self-Verifying Refinement via Joint Verdict-Confidence Reinforcement Learning for Adaptive Test-Time Compute
Jul 30, 2026Hongyu Chen, Liang Lin, Guangrun WangVerifiable Rewards Test Time
CachedSearch: Training-Free Cached Exploration for Test-Time Search in Video Diffusion
Jul 25, 2026Shreshth Saini, Neil Birkbeck, Yilin Wang +2Video Diffusion Models Test Time
When Does Recurrence Become an Algorithm? Convergence Selection in Weight-Tied Looped Transformers
Jul 22, 2026Tong Zhang, Junhao Hu, Yun Peng +1Recurrence Optimization Convergence Analysis
Test-Time Registers as Global Priors for Tokenized Image Generation
Jul 18, 2026Cheng-Yao Hong, Yifan Wang, Yuewei Lin +1Priors Low Frequency Luminance
Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors
Jul 17, 2026Yilin Wang, Xiangxi Zheng, Dongxing Mao +6Long Video Understanding Cross-Modal Attention
EXPLORE: Exploration with Guided Search for Analog Topology Generation using Language Models
Jul 15, 2026Guanglei Zhou, Chen-Chia Chang, Yikang Shen +5Analog Circuits Monte Carlo Tree Search
Interaction Scaling: Grounding the Third Axis of Test-Time Compute
Jul 13, 2026Bojie Li, Noah ShiInteraction Dynamics Test Time
Fail-Aware and Explainable Test Oracle Prediction
Jul 13, 2026Yue Zhao, Binish Tanveer, Jelena ZdravkovicTest Oracles Test Generation
TTHE: Test-Time Harness Evolution
Jul 9, 2026Jun Nie, Yonggang Zhang, Jun Song +5Agent Harness Test-Time Adaptation
Selective Left-Shift: Turning Test-Time Compute and Difficulty-based Curation into Training Data for Low-Resource Code Generation
Jul 8, 2026Didula Samaraweera, Anjana Supun, Srinath PereraAI Code Generation Small Large Language Models
WAM-TTT: Steering World-Action Models by Watching Human Play at Test Time
Jul 8, 2026Yusen Feng, Bingchen Han, Jiangran Lyu +13Action-Conditioned World Modeling World Models
Cost-Effective Agent Harnesses for Abstract Reasoning and Generalization on ARC-AGI-1
Jul 7, 2026Kabir Moghe, Peter ChinAgentic Pipeline Test Time
Search-based Testing of Vision Language Models for In-Car Scene Understanding
Jul 2, 2026Lev Sorokin, Chen Yang, Ken E. Friedl +1Driving Scene Recent Vision-Language Models
DART-VLN: Test-Time Memory Decay and Anti-Loop Regularization for Discrete Vision-Language Navigation
Jul 1, 2026Shaoheng Zhang, Zhichen Li, Jie MeiVision-And-Language Navigation Frozen Vision-Language Models
ELASTIC: Efficiently Learning to Adaptively Scale Test-Time Compute for Generative Control Policies
Jun 30, 2026Andrew Zou Li, Gokul Swamy, Yonatan Bisk +1Robot Policies Test-Time Scaling
Test-Time Verification for Text-to-SQL via Outcome Reward Models
Jun 29, 2026Mattia Tritto, Giuseppe Farano, Dario Di Palma +4Text-To-Sql Test Time
UC-Search: Risk-Aware Test-Time Search for Delayed Constrained Time-Series Control
Jun 24, 2026Xibai WangConflict-Based Search Deadlines
TEXEDO : Test Time Scaling for Controller-aware Language-conditioned Humanoid Motion Generation
Jun 22, 2026Jianuo Cao, Yuxin Chen, Yuzhen Song +3Human Motion Generation Human Motion Understanding
ENVS: Environment-Native Verified Search for Long-Horizon GUI Agents
Jun 22, 2026Yincheng Zhou, Athena Zhuoming Zhong, Shijie Zhang +3Agentic Control Multimodal Agents
Adaptive Recurrent Message Passing for Test Time Computing on Graphs
Jun 21, 2026Junshu Sun, Wanxing Chang, Qingming Huang +1Graph Learning Message Passing Neural Networks
A Test-time Actor-Critic Approach to News Images Generation
Jun 19, 2026Damianos Galanopoulos, Vasileios MezarisAi-Generated Images Visual In-Context Learning
REVES: REvision and VErification--Augmented Training for Test-Time Scaling
Jun 17, 2026Yuanxin Liu, Ruida Zhou, Xinyan Zhao +6LLM Reasoning Methods Verifiable Rewards
LLM-Guided Test-Time Discovery of Quantum-Chemical Approximation Algorithms
Jun 17, 2026Masaya Hagai, Yuta Suzuki, Tomoya Murata +2Computational Chemistry Interatomic Potentials
Retrieve, Don't Retrain: Extending Vision Language Action Models to New Tasks at Test Time
Jun 14, 2026Jeongeun Park, Juhan Park, Taekyung Kim +3Vision-Language-Action Cross-Embodiment Generalization
Variational Test-time Optimization for Diffusion Synchronization
Jun 14, 2026Hyunsoo Lee, Farrin Marouf Sofian, Kushagra Pandey +1Generative Models Test Time
PolicyGuard: Towards Test-time and Step-level Adversary (Backdoor) Defense for Reinforcement Learning Agent
Jun 11, 2026Junfeng Guo Heng HuangBackdoor Attacks Safe Reinforcement Learning
DIRECT: When and Where Should You Allocate Test-Time Compute in Embodied Planners?
Jun 10, 2026Jadelynn Dao, Milan Ganai, Yasmina Abukhadra +7Test Time Frontiers
ThinkBooster: A Unified Framework for Seamless Test-Time Scaling of LLM Reasoning
Jun 5, 2026Vladislav Smirnov, Chieu Nguyen, Sergey Senichev +14Test-Time Scaling Test Time
Double Preconditioning (DoPr): Optimization for Test-Time Performance, not Validation Loss
Jun 4, 2026Thomas T. Zhang, Alok Shah, Yifei Zhang +3Test-Time Adaptation Downstream Fine-Tuning
Not All Errors Are Equal: Consequence-Aware Reasoning Compute Allocation
Jun 3, 2026Jingbo Wen, Liang He, Ziqi HeTest Time Decision-Aware Evaluation
Question-Aware Evidence Ledgers for Video Relational Reasoning
Jun 1, 2026Yilin Ou, Mengshi Qi, Huadong MaVideo Question Answering Visual Reasoning
CultureForest: Understanding and Evaluating Cultural Norm Grounded Reasoning in LLMs
Jun 1, 2026Yangfan Ye, Xiaocheng Feng, Jialong Tang +5Cultural Alignment Test Time
Adaptive Dense Evidence Refinement for Video Relational Reasoning for VRR-QA Challenge
May 31, 2026Yuyang Sun, Yongliang Wu, Xingyu Zhu +8Video Question Answering Video-Language Models
FineVerify: Scaling Test-Time Compute with Fine-Grained Self-Verification for Agentic Search
May 30, 2026James Xu Zhao, Hui Chen, Bryan Hooi +1Agentic Search Agentic Benchmarks
Diversity Matters: Revisiting Test-Time Compute in Vision-Language Models
May 29, 2026Yijie Tong, Yifan Hou, Shaobo Cui +2Test Time Output and Model Diversity
Efficient Test-Time Finetuning of LLMs via Convex Reconstruction and Gradient Caching
May 28, 2026Alaa Khamis, Alaa MaaloufFinetuning Test Time
Test-Time Collective Action: Proxy-Based Perturbations for Correcting Algorithmic Harms
May 26, 2026Meghana Bhange, Ulrich Aïvodji, Elliot CreagerFairness-Aware Learning Subgroup Information
Cast a Wider Net: Coordinated Pass@K Policy Optimization for Code Reasoning
May 26, 2026Yilong Li, Suman Banerjee, Tong CheAI Code Generation Relative Policy Optimization
MATO: Multi-objective Personalized Alignment with Test-time Optimization for Large Language Models
May 25, 2026Linhao Luo, Thuy-Trang Vu, Van-Anh Nguyen +3Large Language Model Personalization Pairwise Preferences
Selective Test-Time Compute Scaling for Click-Through Rate Prediction via Uncertainty-Triggered Feature Path Exploration
May 24, 2026Moyu Zhang, Yun Chen, Yujun Jin +3Click-Through Rate Prediction Test Time
Test-Time Deep Thinking to Explore Implicit Rules
May 24, 2026Wentong Chen, Xin Cong, Zhong Zhang +8Agentic Reasoning Reasoning Trajectory
CoSPlay: Cooperative Self-Play at Test-Time with Self-Generated Code and Unit Test
May 22, 2026Zhangyi Hu, Chenhui Liu, Tian Huang +6AI Code Generation Test Time
Vector Policy Optimization: Training for Diversity Improves Test-Time Search
May 21, 2026Ryan Bahlous-Boldi, Isha Puri, Idan Shenfeld +6Output and Model Diversity Alphaevolve

Sep 12, 2026 · cs.AIJ/K move · Enter open · S save

An Open Recipe for IMO Gold: Training Nemotron for Olympiad Mathematics

Ivan Moshkov, Stephen Ge, George Armstrong, Wei Du+2

We study how model post-training and test-time inference design affect natural-language proof generation for hard olympiad mathematics. Starting from Nemotron 3 Ultra, we train two specialist checkpoints using supervised fine-tuning and reinforcement learning, and evaluate checkpoint choice, verification, and refinement. Based on these findings, we present an open-model test-time-compute pipeline. The system operates entirely in natural language, with no formal prover, external tools, or internet access. Three Nemotron 3 Ultra checkpoints - the general-availability model and two post-trained specialists - power an iterative search that generates, verifies, and refines candidate proofs; a separate high-compute stage then selects each final submission. The system scored 30 out of 42 points at IMO 2026, reaching the gold-medal threshold. We release the two post-trained checkpoints as well as the training data, the training and inference code, the submitted solutions, and Nemotron-IMO-Bench, a new benchmark of 200 novel olympiad-level problems.

Olympiad-Level Problem Test Time Model Checkpoints Recipe

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