noise handling

Leveraging Moment Injection for Enhanced Semi-supervised Natural Language Inference with Large Language Models NAACL 2025 More is not always better? Enhancing Many-Shot In-Context Learning with Differentiated and Reweighting Objectives ACL 2025 Pandora’s Box or Aladdin’s Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language Models ACL 2025 RepFace: Refining Closed-Set Noise with Progressive Label Correction for Face Recognition AAAI 2025 Robust Preference Optimization via Dynamic Target Margins ACL 2025 Denoising-Aware Contrastive Learning for Noisy Time Series IJCAI 2024 Enhancing Multi-Label Text Classification under Label-Dependent Noise: A Label-Specific Denoising Framework EMNLP 2024 Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models ICLR 2024 Investigating large language models for their competence in extracting grammatically sound sentences from transcribed noisy utterances CoNLL 2024 Optimizing Entity Resolution in Voice Interfaces: An ASR-Aware Entity Reference Expansion Approach EMNLP 2024 RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning EMNLP 2024 Understanding the Effects of Noise in Text-to-SQL: An Examination of the BIRD-Bench Benchmark ACL 2024 An Investigation of Noise in Morphological Inflection ACL 2023 Dialogue Rewriting via Skeleton-Guided Generation AAAI 2023 SANTA: Separate Strategies for Inaccurate and Incomplete Annotation Noise in Distantly-Supervised Named Entity Recognition ACL 2023 An Effective, Performant Named Entity Recognition System for Noisy Business Telephone Conversation Transcripts COLING 2022 Dual Decoupling Training for Semi-supervised Object Detection with Noise-Bypass Head AAAI 2022 NAN: Noise-Aware NeRFs for Burst-Denoising CVPR 2022 Noise Handling in Data-driven Predictive Control: A Strategy Based on Dynamic Mode Decomposition L4DC 2022 Self-Supervised Super-Resolution for Multi-Exposure Push-Frame Satellites CVPR 2022 Learning Feature Weights using Reward Modeling for Denoising Parallel Corpora EMNLP 2021 PhD Learning: Learning With Pompeiu-Hausdorff Distances for Video-Based Vehicle Re-Identification CVPR 2021 Active Imitation Learning with Noisy Guidance ACL 2020 Active Testing: An Unbiased Evaluation Method for Distantly Supervised Relation Extraction EMNLP 2020 Controlled Hallucinations: Learning to Generate Faithfully from Noisy Data EMNLP 2020