Cover Image

Natural Language Fine-Tuning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Jia, Wang, Yue, Lin, Zhiqi, Chen, Min, Hao, Yixue, Hu, Long
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fine-Tuned Language Models for Domain-Specific Summarization and Tagging
by: Wang, Jun, et al.
Published: (2025)

More Text, Less Point: Towards 3D Data-Efficient Point-Language Understanding
by: Tang, Yuan, et al.
Published: (2024)

Overtrained Language Models Are Harder to Fine-Tune
by: Springer, Jacob Mitchell, et al.
Published: (2025)

TsqLoRA: Towards Sensitivity and Quality Low-Rank Adaptation for Efficient Fine-Tuning
by: Chen, Yu, et al.
Published: (2025)

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning
by: Mai, Long, et al.
Published: (2024)

MiniGPT-3D: Efficiently Aligning 3D Point Clouds with Large Language Models using 2D Priors
by: Tang, Yuan, et al.
Published: (2024)

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models
by: Qin, Zhanyue, et al.
Published: (2025)

Scaling Data Diversity for Fine-Tuning Language Models in Human Alignment
by: Song, Feifan, et al.
Published: (2024)

Token Cleaning: Fine-Grained Data Selection for LLM Supervised Fine-Tuning
by: Pang, Jinlong, et al.
Published: (2025)

Parameter-Efficient Fine-Tuning of Large Language Models via Deconvolution in Subspace
by: Zhang, Jia-Chen, et al.
Published: (2025)

Taiyi: A Bilingual Fine-Tuned Large Language Model for Diverse Biomedical Tasks
by: Luo, Ling, et al.
Published: (2023)

Boosting Large Language Models with Mask Fine-Tuning
by: Zhang, Mingyuan, et al.
Published: (2025)

Phased Instruction Fine-Tuning for Large Language Models
by: Pang, Wei, et al.
Published: (2024)

Legal Documents Drafting with Fine-Tuned Pre-Trained Large Language Model
by: Lin, Chun-Hsien, et al.
Published: (2024)

Is Fine-Tuning an Effective Solution? Reassessing Knowledge Editing for Unstructured Data
by: Xiong, Hao, et al.
Published: (2025)

Reinforcement Fine-Tuning Naturally Mitigates Forgetting in Continual Post-Training
by: Lai, Song, et al.
Published: (2025)

Parameter-Efficient Fine-Tuning with Discrete Fourier Transform
by: Gao, Ziqi, et al.
Published: (2024)

Reliable Fine-Grained Evaluation of Natural Language Math Proofs
by: Ma, Wenjie, et al.
Published: (2025)

Fine-Tuning Language Models with Reward Learning on Policy
by: Lang, Hao, et al.
Published: (2024)

Designing Domain-Specific Large Language Models: The Critical Role of Fine-Tuning in Public Opinion Simulation
by: Lin, Haocheng
Published: (2024)

KnowTuning: Knowledge-aware Fine-tuning for Large Language Models
by: Lyu, Yougang, et al.
Published: (2024)

Memorization in Fine-Tuned Large Language Models
by: Savine, Danil
Published: (2025)

Honest AI: Fine-Tuning "Small" Language Models to Say "I Don't Know", and Reducing Hallucination in RAG
by: Chen, Xinxi, et al.
Published: (2024)

Supervised Fine-Tuning Needs to Unlock the Potential of Token Priority
by: Shen, Zhanming, et al.
Published: (2026)

OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting
by: Liu, Xukai, et al.
Published: (2024)

Fine-Tuning Medical Language Models for Enhanced Long-Contextual Understanding and Domain Expertise
by: Yang, Qimin, et al.
Published: (2024)

Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning
by: Zhang, Xinlu, et al.
Published: (2024)

From LLM to Conversational Agent: A Memory Enhanced Architecture with Fine-Tuning of Large Language Models
by: Liu, Na, et al.
Published: (2024)

Fine-Tuning or Fine-Failing? Debunking Performance Myths in Large Language Models
by: Barnett, Scott, et al.
Published: (2024)

Simple Yet Effective: Extracting Private Data Across Clients in Federated Fine-Tuning of Large Language Models
by: Hu, Yingqi, et al.
Published: (2025)

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models
by: Liu, Xinxin, et al.
Published: (2024)

Safety-Aware Fine-Tuning of Large Language Models
by: Choi, Hyeong Kyu, et al.
Published: (2024)

Improved Supervised Fine-Tuning for Large Language Models to Mitigate Catastrophic Forgetting
by: Ding, Fei, et al.
Published: (2025)

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models
by: Feng, Jiarui, et al.
Published: (2025)

RoSA: Enhancing Parameter-Efficient Fine-Tuning via RoPE-aware Selective Adaptation in Large Language Models
by: Pan, Dayan, et al.
Published: (2025)

Parameter-Efficient Fine-Tuning With Adapters
by: Chen, Keyu, et al.
Published: (2024)

Selection of LLM Fine-Tuning Data based on Orthogonal Rules
by: Li, Xiaomin, et al.
Published: (2024)

Chain Association-based Attacking and Shielding Natural Language Processing Systems
by: Huang, Jiacheng, et al.
Published: (2024)

Team-Based Self-Play With Dual Adaptive Weighting for Fine-Tuning LLMs
by: Li, Wu, et al.
Published: (2026)

CrisisSense-LLM: Instruction Fine-Tuned Large Language Model for Multi-label Social Media Text Classification in Disaster Informatics
by: Yin, Kai, et al.
Published: (2024)