:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Mejari, Arnav, Vaghulade, Maitreya, Chitaliya, Paarshva, Telang, Arya, D'mello, Lynette
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2411.10050
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The effect of fine-tuning on language model toxicity
by: Hawkins, Will, et al.
Published: (2024)

Learning from models beyond fine-tuning
by: Zheng, Hongling, et al.
Published: (2023)

Uncertainty quantification in fine-tuned LLMs using LoRA ensembles
by: Balabanov, Oleksandr, et al.
Published: (2024)

LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset
by: Yu, Botao, et al.
Published: (2024)

Synthetic data generation for system identification: leveraging knowledge transfer from similar systems
by: Piga, Dario, et al.
Published: (2024)

Retention analysis of edited knowledge after fine-tuning
by: Wen, Fufang, et al.
Published: (2025)

Empirical influence functions to understand the logic of fine-tuning
by: Matelsky, Jordan K., et al.
Published: (2024)

DiscoGraMS: Enhancing Movie Screen-Play Summarization using Movie Character-Aware Discourse Graph
by: Chitale, Maitreya Prafulla, et al.
Published: (2024)

RLSF: Fine-tuning LLMs via Symbolic Feedback
by: Jha, Piyush, et al.
Published: (2024)

Improved techniques for fine-tuning flow models via adjoint matching: a deterministic control pipeline
by: Guo, Zhengyi, et al.
Published: (2026)

Antidote: Post-fine-tuning Safety Alignment for Large Language Models against Harmful Fine-tuning
by: Huang, Tiansheng, et al.
Published: (2024)

Panacea: Mitigating Harmful Fine-tuning for Large Language Models via Post-fine-tuning Perturbation
by: Wang, Yibo, et al.
Published: (2025)

Metaphor identification using large language models: A comparison of RAG, prompt engineering, and fine-tuning
by: Fuoli, Matteo, et al.
Published: (2025)

Uncertainty modeling for fine-tuned implicit functions
by: Susmelj, Anna, et al.
Published: (2024)

Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learning
by: Zhao, Hanyang, et al.
Published: (2024)

Enhancing targeted transferability via feature space fine-tuning
by: Zeng, Hui, et al.
Published: (2024)

Rethinking harmless refusals when fine-tuning foundation models
by: Pop, Florin, et al.
Published: (2024)

Enhancing disease detection in radiology reports through fine-tuning lightweight LLM on weak labels
by: Wei, Yishu, et al.
Published: (2024)

How does fine-tuning improve sensorimotor representations in large language models?
by: Wu, Minghua, et al.
Published: (2026)

Train on Validation (ToV): Fast data selection with applications to fine-tuning
by: Jain, Ayush, et al.
Published: (2025)

Reinforcement learning fine-tuning of language model for instruction following and math reasoning
by: Han, Yifu, et al.
Published: (2025)

Using Optimal Transport as Alignment Objective for fine-tuning Multilingual Contextualized Embeddings
by: Alqahtani, Sawsan, et al.
Published: (2021)

Generating Visual Stimuli from EEG Recordings using Transformer-encoder based EEG encoder and GAN
by: Mishra, Rahul, et al.
Published: (2024)

Gamified crowd-sourcing of high-quality data for visual fine-tuning
by: Yadav, Shashank, et al.
Published: (2024)

GeoLoRA: Geometric integration for parameter efficient fine-tuning
by: Schotthöfer, Steffen, et al.
Published: (2024)

LIFT: Interpretable truck driving risk prediction with literature-informed fine-tuned LLMs
by: Hu, Xiao, et al.
Published: (2025)

Rethinking Reinforcement fine-tuning of LLMs: A Multi-armed Bandit Learning Perspective
by: Hu, Xiao, et al.
Published: (2026)

The impact of fine tuning in LLaMA on hallucinations for named entity extraction in legal documentation
by: Vargas, Francisco, et al.
Published: (2025)

Entropy-guided sequence weighting for efficient exploration in RL-based LLM fine-tuning
by: Vanlioglu, Abdullah
Published: (2025)

Minor SFT loss for LLM fine-tune to increase performance and reduce model deviation
by: Xie, Shiming, et al.
Published: (2024)

Collaborative Comic Generation: Integrating Visual Narrative Theories with AI Models for Enhanced Creativity
by: Chen, Yi-Chun, et al.
Published: (2024)

Evolutionary fine tuning of quantized convolution-based deep learning models
by: Pietroń, Marcin
Published: (2026)

Improving embedding with contrastive fine-tuning on small datasets with expert-augmented scores
by: Lu, Jun, et al.
Published: (2024)

Overcoming systematic softening in universal machine learning interatomic potentials by fine-tuning
by: Deng, Bowen, et al.
Published: (2024)

Efficient and Private: Memorisation under differentially private parameter-efficient fine-tuning in language models
by: Ma, Olivia, et al.
Published: (2024)

Open-weight genome language model safeguards: Assessing robustness via adversarial fine-tuning
by: Black, James R. M., et al.
Published: (2025)

Physics-informed fine-tuning of foundation models for partial differential equations
by: Medvedev, Vlad, et al.
Published: (2026)

Visual RAG: Expanding MLLM visual knowledge without fine-tuning
by: Bonomo, Mirco, et al.
Published: (2025)

What explains the success of cross-modal fine-tuning with ORCA?
by: García-de-Herreros, Paloma, et al.
Published: (2024)

A new approach for fine-tuning sentence transformers for intent classification and out-of-scope detection tasks
by: Zhang, Tianyi, et al.
Published: (2024)