Copertina

HuCurl: Human-induced Curriculum Discovery

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Elgaar, Mohamed, Amiri, Hadi
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Machine Learning Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Curriculum Learning for LLM Pretraining: An Analysis of Learning Dynamics
di: Elgaar, Mohamed, et al.
Pubblicazione: (2026)

LingGen: Scalable Multi-Attribute Linguistic Control via Power-Law Masking
di: Elgaar, Mohamed, et al.
Pubblicazione: (2024)

Linguistically-Controlled Paraphrase Generation
di: Elgaar, Mohamed, et al.
Pubblicazione: (2024)

MedDec: A Dataset for Extracting Medical Decisions from Discharge Summaries
di: Elgaar, Mohamed, et al.
Pubblicazione: (2024)

Linguistic Blind Spots in Clinical Decision Extraction
di: Elgaar, Mohamed, et al.
Pubblicazione: (2026)

EqualizeIR: Mitigating Linguistic Biases in Retrieval Models
di: Cheng, Jiali, et al.
Pubblicazione: (2025)

CogniVoice: Multimodal and Multilingual Fusion Networks for Mild Cognitive Impairment Assessment from Spontaneous Speech
di: Cheng, Jiali, et al.
Pubblicazione: (2024)

Linguistic Blind Spots of Large Language Models
di: Cheng, Jiali, et al.
Pubblicazione: (2025)

Tool Unlearning for Tool-Augmented LLMs
di: Cheng, Jiali, et al.
Pubblicazione: (2025)

FairFlow: Mitigating Dataset Biases through Undecided Learning
di: Cheng, Jiali, et al.
Pubblicazione: (2025)

MultiDelete for Multimodal Machine Unlearning
di: Cheng, Jiali, et al.
Pubblicazione: (2023)

Understanding Machine Unlearning Through the Lens of Mode Connectivity
di: Cheng, Jiali, et al.
Pubblicazione: (2025)

Phonetic and Lexical Discovery of a Canine Language using HuBERT
di: Li, Xingyuan, et al.
Pubblicazione: (2024)

Do Students Debias Like Teachers? On the Distillability of Bias Mitigation Methods
di: Cheng, Jiali, et al.
Pubblicazione: (2025)

Instruction Tuning with Human Curriculum
di: Lee, Bruce W., et al.
Pubblicazione: (2023)

Unveil Multi-Picture Descriptions for Multilingual Mild Cognitive Impairment Detection via Contrastive Learning
di: Qi, Kristin, et al.
Pubblicazione: (2025)

Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum
di: Pouransari, Hadi, et al.
Pubblicazione: (2024)

MelHuBERT: A simplified HuBERT on Mel spectrograms
di: Lin, Tzu-Quan, et al.
Pubblicazione: (2022)

Toward Understanding Unlearning Difficulty: A Mechanistic Perspective and Circuit-Guided Difficulty Metric
di: Cheng, Jiali, et al.
Pubblicazione: (2026)

Curriculum Learning and Pseudo-Labeling Improve the Generalization of Multi-Label Arabic Dialect Identification Models
di: Mekky, Ali, et al.
Pubblicazione: (2026)

Architecture-Agnostic Curriculum Learning for Document Understanding: Empirical Evidence from Text-Only and Multimodal
di: Hamdan, Mohammed, et al.
Pubblicazione: (2026)

Prompt Curriculum Learning for Efficient LLM Post-Training
di: Gao, Zhaolin, et al.
Pubblicazione: (2025)

Efficient Reinforcement Finetuning via Adaptive Curriculum Learning
di: Shi, Taiwei, et al.
Pubblicazione: (2025)

Optimal Singular Damage: Efficient LLM Inference in Low Storage Regimes
di: Alipour, Mohammadsajad, et al.
Pubblicazione: (2025)

An enhanced Teaching-Learning-Based Optimization (TLBO) with Grey Wolf Optimizer (GWO) for text feature selection and clustering
di: Azarshab, Mahsa, et al.
Pubblicazione: (2024)

Improving LLM's Attachment to External Knowledge In Dialogue Generation Tasks Through Entity Anonymization
di: Sheikhi, Hadi, et al.
Pubblicazione: (2025)

CURE:Circuit-Aware Unlearning for LLM-based Recommendation
di: Chen, Ziheng, et al.
Pubblicazione: (2026)

VCRL: Variance-based Curriculum Reinforcement Learning for Large Language Models
di: Jiang, Guochao, et al.
Pubblicazione: (2025)

SynLexLM: Scaling Legal LLMs with Synthetic Data and Curriculum Learning
di: Upadhyay, Ojasw, et al.
Pubblicazione: (2025)

DUMP: Automated Distribution-Level Curriculum Learning for RL-based LLM Post-training
di: Wang, Zhenting, et al.
Pubblicazione: (2025)

Automated Statistical Model Discovery with Language Models
di: Li, Michael Y., et al.
Pubblicazione: (2024)

Sentiment Classification of Gaza War Headlines: A Comparative Analysis of Large Language Models and Arabic Fine-Tuned BERT Models
di: Eleraqi, Amr, et al.
Pubblicazione: (2026)

Learning Rate Curriculum
di: Croitoru, Florinel-Alin, et al.
Pubblicazione: (2022)

Supply Chain Network Extraction and Entity Classification Leveraging Large Language Models
di: Liu, Tong, et al.
Pubblicazione: (2024)

ToolSample: Dual Dynamic Sampling Methods with Curriculum Learning for RL-based Tool Learning
di: Feng, Zihao, et al.
Pubblicazione: (2025)

Towards Self-Improvement of LLMs via MCTS: Leveraging Stepwise Knowledge with Curriculum Preference Learning
di: Wang, Xiyao, et al.
Pubblicazione: (2024)

Studying the Korean Word-Chain Game with RLVR: Mitigating Reward Conflicts via Curriculum Learning
di: Rho, Donghwan
Pubblicazione: (2025)

Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond
di: Wen, Liang, et al.
Pubblicazione: (2025)

Sheaf Discovery with Joint Computation Graph Pruning and Flexible Granularity
di: Yu, Lei, et al.
Pubblicazione: (2024)

CausalEvolve: Towards Open-Ended Discovery with Causal Scratchpad
di: Chen, Yongqiang, et al.
Pubblicazione: (2026)