conftrace_

confidence estimation

167 papers

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Also known as

CE

Co-occurring keywords

large language model (13587) uncertainty quantification (1393) confidence calibration (183) question answering (2963) model calibration (232) uncertainty estimation (648) hallucination detection (530) language model (4599) selective prediction (43) neural machine translation (2310)

Papers

Auto311: A Confidence-Guided Automated System for Non-emergency Calls AAAI 2024
Language Models Do Hard Arithmetic Tasks Easily and Hardly Do Easy Arithmetic Tasks ACL 2024
Calibrating Large Language Models Using Their Generations Only ACL 2024
AIC CTU system at AVeriTeC: Re-framing automated fact-checking as a simple RAG task EMNLP 2024
Factual Confidence of LLMs: on Reliability and Robustness of Current Estimators ACL 2024
Selective “Selective Prediction”: Reducing Unnecessary Abstention in Vision-Language Reasoning ACL 2024
Relying on the Unreliable: The Impact of Language Models’ Reluctance to Express Uncertainty ACL 2024
CORES: Convolutional Response-based Score for Out-of-distribution Detection CVPR 2024
A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition ACL 2023
Confidence-based Self-Corrective Learning: An Application in Height Estimation Using Satellite LiDAR and Imagery IJCAI 2023
Human Transcription Quality Improvement INTERSPEECH 2023
Accurate and Reliable Confidence Estimation Based on Non-Autoregressive End-to-End Speech Recognition System INTERSPEECH 2023
Word-level Confidence Estimation for CTC Models INTERSPEECH 2023
Zero-Shot Data Maps. Efficient Dataset Cartography Without Model Training EMNLP 2023
Augmentation Matters: A Simple-Yet-Effective Approach to Semi-Supervised Semantic Segmentation CVPR 2023
Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection CVPR 2023
Strength in Numbers: Estimating Confidence of Large Language Models by Prompt Agreement ACL 2023
Selective-LAMA: Selective Prediction for Confidence-Aware Evaluation of Language Models EACL 2023
ConfMix: Unsupervised Domain Adaptation for Object Detection via Confidence-Based Mixing WACV 2023
GACE: Geometry Aware Confidence Enhancement for Black-Box 3D Object Detectors on LiDAR-Data ICCV 2023
RankMixup: Ranking-Based Mixup Training for Network Calibration ICCV 2023
RankMatch: Fostering Confidence and Consistency in Learning with Noisy Labels ICCV 2023
Model Calibration in Dense Classification with Adaptive Label Perturbation ICCV 2023
The Importance of Calibration: Rethinking Confidence and Performance of Speech Multi-label Emotion Classifiers INTERSPEECH 2023
Confidence-based Ensembles of End-to-End Speech Recognition Models INTERSPEECH 2023