Image de couverture de livre

SCATR: Simple Calibrated Test-Time Ranking

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Shyamal, Divya, Knežević, Marta, Tran, Lan, Ekbote, Chanakya, Lingam, Vijay, Liang, Paul Pu
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Understanding the Emergence of Multimodal Representation Alignment
par: Tjandrasuwita, Megan, et autres
Publié: (2025)

MURPHY: Feedback-Aware GRPO with Retrospective Credit Assignment for Multi-Turn Code Generation
par: Ekbote, Chanakya, et autres
Publié: (2025)

QoQ-Med: Building Multimodal Clinical Foundation Models with Domain-Aware GRPO Training
par: Dai, Wei, et autres
Publié: (2025)

What One Cannot, Two Can: Two-Layer Transformers Provably Represent Induction Heads on Any-Order Markov Chains
par: Ekbote, Chanakya, et autres
Publié: (2025)

OmniSapiens: A Foundation Model for Social Behavior Processing via Heterogeneity-Aware Relative Policy Optimization
par: Ong, Keane, et autres
Publié: (2026)

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces
par: Kontras, Konstantinos, et autres
Publié: (2026)

It's Not That Simple. An Analysis of Simple Test-Time Scaling
par: Wu, Guojun
Publié: (2025)

Calibrated Test-Time Guidance for Bayesian Inference
par: Geyfman, Daniel, et autres
Publié: (2026)

Learning with Calibration: Exploring Test-Time Computing of Spatio-Temporal Forecasting
par: Chen, Wei, et autres
Publié: (2025)

HyperAdapt: Simple High-Rank Adaptation
par: Gurung, Abel, et autres
Publié: (2025)

Calibrated Preference Learning: The Case of Label Ranking
par: Thies, Santo M. A. R., et autres
Publié: (2026)

GRAFT: Decoupling Ranking and Calibration for Survival Analysis
par: Ashhad, Mohammad, et autres
Publié: (2026)

ExecTune: Effective Steering of Black-Box LLMs with Guide Models
par: Lingam, Vijay, et autres
Publié: (2026)

Efficient Test-Time Scaling via Self-Calibration
par: Huang, Chengsong, et autres
Publié: (2025)

Graph Ranking Contrastive Learning: A Extremely Simple yet Efficient Method
par: Hu, Yulan, et autres
Publié: (2023)

Beyond the Frontier: Stochastic Backtracking for Efficient Test-Time Scaling
par: Tran, Dao, et autres
Publié: (2026)

Self-Supervised Learning and Opportunistic Inference for Continuous Monitoring of Freezing of Gait in Parkinson's Disease
par: Soumma, Shovito Barua, et autres
Publié: (2024)

On the Usefulness of the Fit-on-the-Test View on Evaluating Calibration of Classifiers
par: Kängsepp, Markus, et autres
Publié: (2022)

Hierarchical Adaptive networks with Task vectors for Test-Time Adaptation
par: Ambekar, Sameer, et autres
Publié: (2025)

On the Learnability of Test-Time Adaptation: A Recovery Complexity Perspective
par: Zhou, Zhi, et autres
Publié: (2026)

AdapTable: Test-Time Adaptation for Tabular Data via Shift-Aware Uncertainty Calibrator and Label Distribution Handler
par: Kim, Changhun, et autres
Publié: (2024)

Train-before-Test Harmonizes Language Model Rankings
par: Zhang, Guanhua, et autres
Publié: (2025)

Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting
par: Hu, Jiaxi, et autres
Publié: (2024)

Uncertainty in Language Models: Assessment through Rank-Calibration
par: Huang, Xinmeng, et autres
Publié: (2024)

Robust SDE Parameter Estimation Under Missing Time Information Setting
par: Van Tran, Long, et autres
Publié: (2026)

ReCalKV: Low-Rank KV Cache Compression via Head Reordering and Offline Calibration
par: Yan, Xianglong, et autres
Publié: (2025)

Transform then Explore: a Simple and Effective Technique for Exploratory Combinatorial Optimization with Reinforcement Learning
par: Pu, Tianle, et autres
Publié: (2024)

What If Consensus Lies? Selective-Complementary Reinforcement Learning at Test Time
par: Yan, Dong, et autres
Publié: (2026)

Test-Time Learning of Causal Structure from Interventional Data
par: Chen, Wei, et autres
Publié: (2026)

Stabilizing Recurrent Dynamics for Test-Time Scalable Latent Reasoning in Looped Language Models
par: Yang, Xiao-Wen, et autres
Publié: (2026)

MINT: Multimodal Instruction Tuning with Multimodal Interaction Grouping
par: Shan, Xiaojun, et autres
Publié: (2025)

Simple Calibration via Geodesic Kernels
par: Dey, Jayanta, et autres
Publié: (2022)

CarBoN: Calibrated Best-of-N Sampling Improves Test-time Reasoning
par: Tang, Yung-Chen, et autres
Publié: (2025)

Thinking While Listening: Simple Test Time Scaling For Audio Classification
par: Verma, Prateek, et autres
Publié: (2025)

Enhancing Uplift Modeling in Multi-Treatment Marketing Campaigns: Leveraging Score Ranking and Calibration Techniques
par: Park, Yoon Tae, et autres
Publié: (2024)

Test Time Learning for Time Series Forecasting
par: Christou, Panayiotis, et autres
Publié: (2024)

R.I.P.: A Simple Black-box Attack on Continual Test-time Adaptation
par: Hoang, Trung-Hieu, et autres
Publié: (2024)

Less is More: Pseudo-Label Filtering for Continual Test-Time Adaptation
par: Tan, Jiayao, et autres
Publié: (2024)

A Vision for Multisensory Intelligence: Sensing, Science, and Synergy
par: Liang, Paul Pu
Publié: (2026)

Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection
par: Xu, Hongzuo, et autres
Publié: (2022)