:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteur principal:	Guo, Tong
Format:	Preprint
Publié:	2023
Sujets:	Machine Learning Computation and Language
Accès en ligne:	https://arxiv.org/abs/2302.04391
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

To Label or Not to Label: Hybrid Active Learning for Neural Machine Translation
par: Azeemi, Abdul Hameed, et autres
Publié: (2024)

BhashaSetu: A Data-Centric Approach to Low-Resource Machine Translation
par: Thakkar, Param, et autres
Publié: (2026)

Towards Trustworthy Multimodal Moderation via Policy-Aligned Reasoning and Hierarchical Labeling
par: Li, Anqi, et autres
Publié: (2025)

DataFlow: An LLM-Driven Framework for Unified Data Preparation and Workflow Automation in the Era of Data-Centric AI
par: Liang, Hao, et autres
Publié: (2025)

Data-Centric AI in the Age of Large Language Models
par: Xu, Xinyi, et autres
Publié: (2024)

SCBench: A KV Cache-Centric Analysis of Long-Context Methods
par: Li, Yucheng, et autres
Publié: (2024)

MetaMT,a MetaLearning Method Leveraging Multiple Domain Data for Low Resource Machine Translation
par: Li, Rumeng, et autres
Publié: (2019)

Towards Next-Generation LLM Training: From the Data-Centric Perspective
par: Liang, Hao, et autres
Publié: (2026)

DataFlex: A Unified Framework for Data-Centric Dynamic Training of Large Language Models
par: Liang, Hao, et autres
Publié: (2026)

FUSE: Ensembling Verifiers with Zero Labeled Data
par: Lee, Joonhyuk, et autres
Publié: (2026)

A Multi-Label Dataset of French Fake News: Human and Machine Insights
par: Icard, Benjamin, et autres
Publié: (2024)

Curriculum Learning and Pseudo-Labeling Improve the Generalization of Multi-Label Arabic Dialect Identification Models
par: Mekky, Ali, et autres
Publié: (2026)

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Handy Appetizer
par: Peng, Benji, et autres
Publié: (2024)

Interpretable Discriminative Text Representations via Agreement and Label Disentanglement
par: Wang, Tong, et autres
Publié: (2026)

Predicting Rental Price of Lane Houses in Shanghai with Machine Learning Methods and Large Language Models
par: Chen, Tingting, et autres
Publié: (2024)

Leveraging Label Semantics and Meta-Label Refinement for Multi-Label Question Classification
par: Dong, Shi, et autres
Publié: (2024)

ReNCE: Learning to Reason by Noise Contrastive Estimation
par: Zhang, Wenzheng, et autres
Publié: (2026)

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training
par: Yang, Kailai, et autres
Publié: (2025)

Data-Centric Lessons To Improve Speech-Language Pretraining
par: Udandarao, Vishaal, et autres
Publié: (2025)

Towards Data-Centric RLHF: Simple Metrics for Preference Dataset Comparison
par: Shen, Judy Hanwen, et autres
Publié: (2024)

OCALM: Object-Centric Assessment with Language Models
par: Kaufmann, Timo, et autres
Publié: (2024)

Enhance the Robustness of Text-Centric Multimodal Alignments
par: Yen, Ting-Yu, et autres
Publié: (2024)

Song Emotion Classification of Lyrics with Out-of-Domain Data under Label Scarcity
par: Sakunkoo, Jonathan, et autres
Publié: (2024)

ReGUIDE: Data Efficient GUI Grounding via Spatial Reasoning and Search
par: Lee, Hyunseok, et autres
Publié: (2025)

A Survey on Stability of Learning with Limited Labelled Data and its Sensitivity to the Effects of Randomness
par: Pecher, Branislav, et autres
Publié: (2023)

Systematic Evaluation of Machine-Generated Reasoning and PHQ-9 Labeling for Depression Detection Using Large Language Models
par: Shao, Zongru, et autres
Publié: (2025)

On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices
par: Pecher, Branislav, et autres
Publié: (2024)

ML-SPEAK: A Theory-Guided Machine Learning Method for Studying and Predicting Conversational Turn-taking Patterns
par: O'Bryan, Lisa R., et autres
Publié: (2024)

Calibrate to Discriminate: Improve In-Context Learning with Label-Free Comparative Inference
par: Cheng, Wei, et autres
Publié: (2024)

ReAct Meets ActRe: When Language Agents Enjoy Training Data Autonomy
par: Yang, Zonghan, et autres
Publié: (2024)

In-Context Learning Learns Label Relationships but Is Not Conventional Learning
par: Kossen, Jannik, et autres
Publié: (2023)

ClinicRealm: Re-evaluating Large Language Models with Conventional Machine Learning for Non-Generative Clinical Prediction Tasks
par: Zhu, Yinghao, et autres
Publié: (2024)

A New Method for Cross-Lingual-based Semantic Role Labeling
par: Ebrahimi, Mohammad, et autres
Publié: (2024)

Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications
par: Liang, Paul Pu, et autres
Publié: (2023)

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling AI's Potential Through Tools, Techniques, and Applications
par: Feng, Pohsun, et autres
Publié: (2024)

New Faithfulness-Centric Interpretability Paradigms for Natural Language Processing
par: Madsen, Andreas
Publié: (2024)

An Evaluation of Explanation Methods for Black-Box Detectors of Machine-Generated Text
par: Schoenegger, Loris, et autres
Publié: (2024)

ICXML: An In-Context Learning Framework for Zero-Shot Extreme Multi-Label Classification
par: Zhu, Yaxin, et autres
Publié: (2023)

LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization
par: Lu, Peng, et autres
Publié: (2023)

Learning New Tasks from a Few Examples with Soft-Label Prototypes
par: Singh, Avyav Kumar, et autres
Publié: (2022)