Cover Image

Domain-Shift-Aware Conformal Prediction for Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lin, Zhexiao, Li, Yuanyuan, Sarna, Neeraj, Gao, Yuanyuan, von Gablenz, Michael
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Computation and Language Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Copyright Infringement Risk Reduction via Chain-of-Thought and Task Instruction Prompting
by: Sarna, Neeraj, et al.
Published: (2025)

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis
by: Jantre, Sanket, et al.
Published: (2025)

Augmented Risk Prediction for the Onset of Alzheimer's Disease from Electronic Health Records with Large Language Models
by: Wang, Jiankun, et al.
Published: (2024)

Beyond Words: How Large Language Models Perform in Quantitative Management Problem-Solving
by: Kuzmanko, Jonathan
Published: (2025)

Online Reasoning Calibration: Test-Time Training Enables Generalizable Conformal LLM Reasoning
by: Zhou, Cai, et al.
Published: (2026)

Chitchat with AI: Understand the supply chain carbon disclosure of companies worldwide through Large Language Model
by: Hang, Haotian, et al.
Published: (2025)

Contextual Phenotyping of Pediatric Sepsis Cohort Using Large Language Models
by: Nagori, Aditya, et al.
Published: (2025)

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

Reliable and Efficient Amortized Model-based Evaluation
by: Truong, Sang, et al.
Published: (2025)

The Use of a Large Language Model for Cyberbullying Detection
by: Ogunleye, Bayode, et al.
Published: (2024)

KMM-CP: Practical Conformal Prediction under Covariate Shift via Selective Kernel Mean Matching
by: Laghuvarapu, Siddhartha, et al.
Published: (2026)

Counterfactually Fair Conformal Prediction
by: Guldogan, Ozgur, et al.
Published: (2025)

ICE-ID: A Novel Historical Census Dataset for Longitudinal Identity Resolution
by: de Carvalho, Gonçalo Hora, et al.
Published: (2025)

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

Beyond the Hype: Embeddings vs. Prompting for Multiclass Classification Tasks
by: Kokkodis, Marios, et al.
Published: (2025)

Reinforcement Learning from Human Feedback with High-Confidence Safety Constraints
by: Chittepu, Yaswanth, et al.
Published: (2025)

Unified Representation of Genomic and Biomedical Concepts through Multi-Task, Multi-Source Contrastive Learning
by: Yuan, Hongyi, et al.
Published: (2024)

Prune 'n Predict: Optimizing LLM Decision-making with Conformal Prediction
by: Vishwakarma, Harit, et al.
Published: (2024)

Adaptive Conformal Prediction for Improving Factuality of Generations by Large Language Models
by: Rubashevskii, Aleksandr, et al.
Published: (2026)

Large Language Model Predicts Above Normal All India Summer Monsoon Rainfall in 2024
by: Sharma, Ujjawal, et al.
Published: (2024)

API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access
by: Su, Jiayuan, et al.
Published: (2024)

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

Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction
by: Ye, Yuanchang, et al.
Published: (2025)

Out-of-distribution Reject Option Method for Dataset Shift Problem in Early Disease Onset Prediction
by: Tosaki, Taisei, et al.
Published: (2024)

Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models
by: Duan, Jinhao, et al.
Published: (2023)

Predictive Scale-Bridging Simulations through Active Learning
by: Karra, Satish, et al.
Published: (2022)

Bayesian Evaluation of Large Language Model Behavior
by: Longjohn, Rachel, et al.
Published: (2025)

SConU: Selective Conformal Uncertainty in Large Language Models
by: Wang, Zhiyuan, et al.
Published: (2025)

Metacognitive Myopia in Large Language Models
by: Scholten, Florian, et al.
Published: (2024)

Improving Large Language Models with Concept-Aware Fine-Tuning
by: Chen, Michael K., et al.
Published: (2025)

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models
by: Devunuri, Saipraneeth, et al.
Published: (2024)

EfficientQAT: Efficient Quantization-Aware Training for Large Language Models
by: Chen, Mengzhao, et al.
Published: (2024)

PAT: Pruning-Aware Tuning for Large Language Models
by: Liu, Yijiang, et al.
Published: (2024)

Ensemble Learning for Healthcare: A Comparative Analysis of Hybrid Voting and Ensemble Stacking in Obesity Risk Prediction
by: Islam, Towhidul, et al.
Published: (2025)

Next-Generation Conflict Forecasting: Unleashing Predictive Patterns through Spatiotemporal Learning
by: von der Maase, Simon P.
Published: (2025)

ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees
by: Wang, Zhiyuan, et al.
Published: (2024)

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

FreDF: Learning to Forecast in the Frequency Domain
by: Wang, Hao, et al.
Published: (2024)

Sparse Shift Autoencoders for Identifying Concepts from Large Language Model Activations
by: Joshi, Shruti, et al.
Published: (2025)

Quantifying Correlations of Machine Learning Models
by: Li, Yuanyuan, et al.
Published: (2025)