Cover Image

Latency-Response Theory Model: Evaluating Large Language Models via Response Accuracy and Chain-of-Thought Length

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Zhiyu, Liu, Jia, Wang, Yixin, Gu, Yuqi
Format:	Preprint
Published:	2025
Subjects:	Methodology Artificial Intelligence Applications Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Estimating Item Difficulty with Large Language Models as Experts
by: Kolesnikova, Diana, et al.
Published: (2026)

Detecting Structural Heart Disease from Electrocardiograms via a Generalized Additive Model of Interpretable Foundation-Model Predictors
by: Zhou, Ya, et al.
Published: (2026)

Scalable Text-Embedding-informed Cognitive Diagnosis of Large Language Models
by: Liu, Jia, et al.
Published: (2026)

iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models
by: Chen, Tianyu, et al.
Published: (2023)

Language Models as Causal Effect Generators
by: Bynum, Lucius E. J., et al.
Published: (2024)

Super-Level-Set Regression: Conditional Quantiles via Volume Minimization
by: Braun, Sacha, et al.
Published: (2026)

Bridging the Unavoidable A Priori: A Framework for Comparative Causal Modeling
by: Hovmand, Peter S., et al.
Published: (2025)

ConfHit: Conformal Generative Design with Oracle Free Guarantees
by: Laghuvarapu, Siddhartha, et al.
Published: (2026)

Cross-Domain Offshore Wind Power Forecasting: Transfer Learning Through Meteorological Clusters
by: Weisser, Dominic, et al.
Published: (2026)

An Algorithmic Approach for Causal Health Equity: A Look at Race Differentials in Intensive Care Unit (ICU) Outcomes
by: Plecko, Drago, et al.
Published: (2025)

Diffusion Boosted Trees
by: Han, Xizewen, et al.
Published: (2024)

Scalable Spatiotemporal Prediction with Bayesian Neural Fields
by: Saad, Feras, et al.
Published: (2024)

Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous Transformer
by: Shirakawa, Toru, et al.
Published: (2024)

Causal Machine Learning for Surgical Interventions
by: Tamo, J. Ben, et al.
Published: (2025)

Causal Graph Recovery in Neuroimaging through Answer Set Programming
by: Abavisani, Mohammadsajad, et al.
Published: (2025)

Tackling Copyright Issues in AI Image Generation Through Originality Estimation and Genericization
by: Chiba-Okabe, Hiroaki, et al.
Published: (2024)

Fairboard: a quantitative framework for equity assessment of healthcare models
by: Ruffle, James K., et al.
Published: (2026)

Hybrid$^2$ Neural ODE Causal Modeling and an Application to Glycemic Response
by: Zou, Bob Junyi, et al.
Published: (2024)

Optimal Sampling for Generalized Linear Model under Measurement Constraint with Surrogate Variables
by: Shen, Yixin, et al.
Published: (2025)

Do Large Language Models (Really) Need Statistical Foundations?
by: Su, Weijie
Published: (2025)

Covariate-assisted Grade of Membership Models via Shared Latent Geometry
by: Xu, Zhiyu, et al.
Published: (2026)

On Using Large Language Models to Enhance Clinically-Driven Missing Data Recovery Algorithms in Electronic Health Records
by: Lotspeich, Sarah C., et al.
Published: (2025)

SynthTree: Co-supervised Local Model Synthesis for Explainable Prediction
by: Kuriabov, Evgenii, et al.
Published: (2024)

Auditing Fairness by Betting
by: Chugg, Ben, et al.
Published: (2023)

Forecasting time series with constraints
by: Doumèche, Nathan, et al.
Published: (2025)

LLM-based Agents for Automated Confounder Discovery and Subgroup Analysis in Causal Inference
by: Lee, Po-Han, et al.
Published: (2025)

Removing Spurious Correlation from Neural Network Interpretations
by: Fotouhi, Milad, et al.
Published: (2024)

Individualized Multi-Treatment Response Curves Estimation using RBF-net with Shared Neurons
by: Chang, Peter, et al.
Published: (2024)

Subspace Recovery in Winsorized PCA: Insights into Accuracy and Robustness
by: Han, Sangil, et al.
Published: (2025)

Inference for Large Scale Regression Models with Dependent Errors
by: Voirol, Lionel, et al.
Published: (2024)

Enhanced ECG Arrhythmia Detection Accuracy by Optimizing Divergence-Based Data Fusion
by: Su, Baozhuo, et al.
Published: (2025)

Efficient Generative Modeling via Penalized Optimal Transport Network
by: Lu, Wenhui Sophia, et al.
Published: (2024)

Bayesian Pliable Lasso with Horseshoe Prior for Interaction Effects in GLMs with Missing Responses
by: Mai, The Tien
Published: (2025)

An Optimal House Price Prediction Algorithm: XGBoost
by: Sharma, Hemlata, et al.
Published: (2024)

A Distribution-Free Framework for Rewrite-Based Human-text Detection via Knockoff Filtering
by: Liu, Yi
Published: (2026)

ROC Analysis with Covariate Adjustment Using Neural Network Models: Evaluating the Role of Age in the Physical Activity-Mortality Association
by: Hammouri, Ziad Akram Ali, et al.
Published: (2025)

Efficient Prediction of Pass@k Scaling in Large Language Models
by: Kazdan, Joshua, et al.
Published: (2025)

TransformerLSR: Attentive Joint Model of Longitudinal Data, Survival, and Recurrent Events with Concurrent Latent Structure
by: Zhang, Zhiyue, et al.
Published: (2024)

Robustifying and Selecting Cohort-Appropriate Prognostic Models under Distributional Shifts
by: Bertsimas, Dimitris, et al.
Published: (2026)

Summary Statistics of Large-scale Model Outputs for Observation-corrected Outputs
by: Chakraborty, Atlanta, et al.
Published: (2025)