:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autor principal:	Fu, Xiang
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language
Acceso en línea:	https://arxiv.org/abs/2505.11643
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Rethinking Easy-to-Hard: Limits of Curriculum Learning in Post-Training for Deductive Reasoning
por: Mordig, Maximilian, et al.
Publicado: (2026)

Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning
por: Parashar, Shubham, et al.
Publicado: (2025)

What Kind of Language is Easy to Language-Model Under Curriculum Learning?
por: El-Naggar, Nadine, et al.
Publicado: (2026)

Small Language Models for Curriculum-based Guidance
por: Katharakis, Konstantinos, et al.
Publicado: (2025)

IRIS: Interleaved Reinforcement with Incremental Staged Curriculum for Cross-Lingual Mathematical Reasoning
por: Gupta, Navya, et al.
Publicado: (2026)

MERLIN: Multi-Stage Curriculum Alignment for Multilingual Encoder-LLM Integration in Cross-Lingual Reasoning
por: Uemura, Kosei, et al.
Publicado: (2025)

Infi-MMR: Curriculum-based Unlocking Multimodal Reasoning via Phased Reinforcement Learning in Multimodal Small Language Models
por: Liu, Zeyu, et al.
Publicado: (2025)

Making LLMs Better Many-to-Many Speech-to-Text Translators with Curriculum Learning
por: Du, Yexing, et al.
Publicado: (2024)

Let's Be Self-generated via Step by Step: A Curriculum Learning Approach to Automated Reasoning with Large Language Models
por: Luo, Kangyang, et al.
Publicado: (2024)

TinyHelen's First Curriculum: Training and Evaluating Tiny Language Models in a Simpler Language Environment
por: Yang, Ke, et al.
Publicado: (2024)

RuCL: Stratified Rubric-Based Curriculum Learning for Multimodal Large Language Model Reasoning
por: Chen, Yukun, et al.
Publicado: (2026)

Reasoning Curriculum: Bootstrapping Broad LLM Reasoning from Math
por: Pang, Bo, et al.
Publicado: (2025)

Curriculum-Guided Layer Scaling for Language Model Pretraining
por: Singh, Karanpartap, et al.
Publicado: (2025)

Fast on the Easy, Deep on the Hard: Efficient Reasoning via Powered Length Penalty
por: Ling, Zehui, et al.
Publicado: (2025)

Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning
por: Xi, Zhiheng, et al.
Publicado: (2024)

AI "News" Content Farms Are Easy to Make and Hard to Detect: A Case Study in Italian
por: Puccetti, Giovanni, et al.
Publicado: (2024)

FastCuRL: Curriculum Reinforcement Learning with Stage-wise Context Scaling for Efficient Training R1-like Reasoning Models
por: Song, Mingyang, et al.
Publicado: (2025)

Language Models Do Hard Arithmetic Tasks Easily and Hardly Do Easy Arithmetic Tasks
por: Gambardella, Andrew, et al.
Publicado: (2024)

Curriculum Learning for Small Code Language Models
por: Naïr, Marwa, et al.
Publicado: (2024)

Multi-Stage Evolutionary Model Merging with Meta Data Driven Curriculum Learning for Sentiment-Specialized Large Language Modeling
por: Inoshita, Keito, et al.
Publicado: (2026)

LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?
por: Wang, Jingyuan, et al.
Publicado: (2025)

Can Large Language Models Automatically Jailbreak GPT-4V?
por: Wu, Yuanwei, et al.
Publicado: (2024)

Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?
por: Yang, Zhe, et al.
Publicado: (2024)

TACLer: Tailored Curriculum Reinforcement Learning for Efficient Reasoning
por: Lai, Huiyuan, et al.
Publicado: (2026)

DARC: Decoupled Asymmetric Reasoning Curriculum for LLM Evolution
por: Fan, Shengda, et al.
Publicado: (2026)

What do Language Models Learn and When? The Implicit Curriculum Hypothesis
por: Liu, Emmy, et al.
Publicado: (2026)

Pre-Training Curriculum for Multi-Token Prediction in Language Models
por: Aynetdinov, Ansar, et al.
Publicado: (2025)

GraphDancer: Training LLMs to Explore and Reason over Graphs via Two-Stage Curriculum Post-Training
por: Bai, Yuyang, et al.
Publicado: (2026)

MedCLM: Learning to Localize and Reason via a CoT-Curriculum in Medical Vision-Language Models
por: Kim, Soo Yong, et al.
Publicado: (2025)

SARI: Structured Audio Reasoning via Curriculum-Guided Reinforcement Learning
por: Wen, Cheng, et al.
Publicado: (2025)

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning
por: Wu, Muling, et al.
Publicado: (2025)

Beyond Scale: Small Language Models are Comparable to GPT-4 in Mental Health Understanding
por: Jia, Hong, et al.
Publicado: (2025)

Emergent Misalignment is Easy, Narrow Misalignment is Hard
por: Soligo, Anna, et al.
Publicado: (2026)

Less is More: Pre-Training Cross-Lingual Small-Scale Language Models with Cognitively-Plausible Curriculum Learning Strategies
por: Salhan, Suchir, et al.
Publicado: (2024)

Automatic Curriculum Expert Iteration for Reliable LLM Reasoning
por: Zhao, Zirui, et al.
Publicado: (2024)

Do Syntactic Categories Help in Developmentally Motivated Curriculum Learning for Language Models?
por: Güven, Arzu Burcu, et al.
Publicado: (2025)

Can Safety Emerge from Weak Supervision? A Systematic Analysis of Small Language Models
por: Saha, Punyajoy, et al.
Publicado: (2026)

Can Small Language Models be Good Reasoners for Sequential Recommendation?
por: Wang, Yuling, et al.
Publicado: (2024)

It's Not Easy Being Wrong: Large Language Models Struggle with Process of Elimination Reasoning
por: Balepur, Nishant, et al.
Publicado: (2023)

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