LMTuner: An user-friendly and highly-integrable Training Framework for fine-tuning Large Language Models
Paper
•
2308.10252
•
Published
•
1
Xnhyacinth
Xnhyacinth
AI & ML interests
Natural Language Processing， Long Context Modeling & Length Extrapolation
Recent Activity
authored
a paper
14 days ago
LMTuner: An user-friendly and highly-integrable Training Framework for
fine-tuning Large Language Models
Organizations
None yet
Xnhyacinth's activity
authored
6
papers
14 days ago
Imagination Augmented Generation: Learning to Imagine Richer Context for Question Answering over Large Language Models
Paper
•
2403.15268
•
Published
$\textit{SKIntern}$: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models
Paper
•
2409.13183
•
Published
Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks
Paper
•
2409.13203
•
Published
VaiBot: Shuttle Between the Instructions and Parameters of Large Language Models
Paper
•
2502.02315
•
Published
A Comprehensive Survey on Long Context Language Modeling
Paper
•
2503.17407
•
Published
•
49
upvoted
a
paper
14 days ago
updated
a
dataset
23 days ago
published
a
dataset
23 days ago
updated
2
datasets
23 days ago
published
a
dataset
23 days ago
updated
2
datasets
29 days ago