:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Jindal, Ashvini Kumar, Rajpoot, Pawan Kumar, Parikh, Ankur
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language
Acceso en línea:	https://arxiv.org/abs/2403.02247
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

NeurIPS 2023 LLM Efficiency Fine-tuning Competition
por: Saroufim, Mark, et al.
Publicado: (2025)

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

TIFIN India at SemEval-2025: Harnessing Translation to Overcome Multilingual IR Challenges in Fact-Checked Claim Retrieval
por: Devadiga, Prasanna, et al.
Publicado: (2025)

Multilingual Conversational AI for Financial Assistance: Bridging Language Barriers in Indian FinTech
por: Hazarika, Bharatdeep, et al.
Publicado: (2025)

Integrating gender inclusivity into large language models via instruction tuning
por: Wróblewska, Alina, et al.
Publicado: (2025)

MAIN: Mutual Alignment Is Necessary for instruction tuning
por: Yang, Fanyi, et al.
Publicado: (2025)

RandLoRA: Full-rank parameter-efficient fine-tuning of large models
por: Albert, Paul, et al.
Publicado: (2025)

Evolution of meta's llama models and parameter-efficient fine-tuning of large language models: a survey
por: Abdullah, Abdulhady Abas, et al.
Publicado: (2025)

More than Just Statistical Recurrence: Human and Machine Unsupervised Learning of Māori Word Segmentation across Morphological Processes
por: Varatharaj, Ashvini, et al.
Publicado: (2024)

Zero-shot cross-lingual transfer in instruction tuning of large language models
por: Chirkova, Nadezhda, et al.
Publicado: (2024)

LayerNorm: A key component in parameter-efficient fine-tuning
por: ValizadehAslani, Taha, et al.
Publicado: (2024)

Task-conditioned probing of instruction-tuned multimodal LLMs: Region-specific brain alignment patterns under naturalistic stimuli
por: Oota, Subba Reddy, et al.
Publicado: (2025)

Multi-task retriever fine-tuning for domain-specific and efficient RAG
por: Béchard, Patrice, et al.
Publicado: (2025)

Do as I do (Safely): Mitigating Task-Specific Fine-tuning Risks in Large Language Models
por: Eiras, Francisco, et al.
Publicado: (2024)

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

PETapter: Leveraging PET-style classification heads for modular few-shot parameter-efficient fine-tuning
por: Rieger, Jonas, et al.
Publicado: (2024)

Complexity-aware fine-tuning
por: Goncharov, Andrey, et al.
Publicado: (2025)

T-curator: a trust based curation tool for LOD logs
por: Lanasri, Dihia
Publicado: (2024)

Integrating curation into scientific publishing to train AI models
por: Abreu-Vicente, Jorge, et al.
Publicado: (2023)

Reasoning-Guided Claim Normalization for Noisy Multilingual Social Media Posts
por: Sharma, Manan, et al.
Publicado: (2025)

Immunization against harmful fine-tuning attacks
por: Rosati, Domenic, et al.
Publicado: (2024)

Temporal fine-tuning for early risk detection
por: Thompson, Horacio, et al.
Publicado: (2025)

TheBlueScrubs-v1, a comprehensive curated medical dataset derived from the internet
por: Felipe, Luis, et al.
Publicado: (2025)

Comparison between parameter-efficient techniques and full fine-tuning: A case study on multilingual news article classification
por: Razuvayevskaya, Olesya, et al.
Publicado: (2023)

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

ParaRev: Building a dataset for Scientific Paragraph Revision annotated with revision instruction
por: Jourdan, Léane, et al.
Publicado: (2025)

Deep literature reviews: an application of fine-tuned language models to migration research
por: Iacus, Stefano M., et al.
Publicado: (2025)

Labeling supervised fine-tuning data with the scaling law
por: Kong, Huanjun
Publicado: (2024)

The representation landscape of few-shot learning and fine-tuning in large language models
por: Doimo, Diego, et al.
Publicado: (2024)

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

MNAFT: modality neuron-aware fine-tuning of multimodal large language models for image translation
por: Li, Bo, et al.
Publicado: (2026)

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

Automated scoring of the Ambiguous Intentions Hostility Questionnaire using fine-tuned large language models
por: Lyu, Y., et al.
Publicado: (2025)

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

Replaying pre-training data improves fine-tuning
por: Kotha, Suhas, et al.
Publicado: (2026)

Understanding the effects of language-specific class imbalance in multilingual fine-tuning
por: Jung, Vincent, et al.
Publicado: (2024)

Improving LLM-based Ontology Matching with fine-tuning on synthetic data
por: Sousa, Guilherme, et al.
Publicado: (2025)

Building English ASR model with regional language support
por: Agrawal, Purvi, et al.
Publicado: (2025)

BadLlama: cheaply removing safety fine-tuning from Llama 2-Chat 13B
por: Gade, Pranav, et al.
Publicado: (2023)

Watch the Weights: Unsupervised monitoring and control of fine-tuned LLMs
por: Zhong, Ziqian, et al.
Publicado: (2025)