Saved in:
| Main Authors: | Fernandes, Reuben Chagas, Patkar, Gaurang S. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.23529 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Low-Resource Fine-Tuning for Multi-Task Structured Information Extraction with a Billion-Parameter Instruction-Tuned Model
by: Chih, Yu Cheng, et al.
Published: (2025)
by: Chih, Yu Cheng, et al.
Published: (2025)
MURI: High-Quality Instruction Tuning Datasets for Low-Resource Languages via Reverse Instructions
by: Köksal, Abdullatif, et al.
Published: (2024)
by: Köksal, Abdullatif, et al.
Published: (2024)
One Instruction Does Not Fit All: How Well Do Embeddings Align Personas and Instructions in Low-Resource Indian Languages?
by: Shah, Arya, et al.
Published: (2026)
by: Shah, Arya, et al.
Published: (2026)
LinguaLIFT: An Effective Two-stage Instruction Tuning Framework for Low-Resource Language Reasoning
by: Zhang, Hongbin, et al.
Published: (2024)
by: Zhang, Hongbin, et al.
Published: (2024)
adaptMLLM: Fine-Tuning Multilingual Language Models on Low-Resource Languages with Integrated LLM Playgrounds
by: Lankford, Séamus, et al.
Published: (2024)
by: Lankford, Séamus, et al.
Published: (2024)
Evaluating Fine-Tuned LLM Model For Medical Transcription With Small Low-Resource Languages Validated Dataset
by: Chowdhury, Mohammed Nowshad Ruhani, et al.
Published: (2026)
by: Chowdhury, Mohammed Nowshad Ruhani, et al.
Published: (2026)
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
by: Wang, Yidong, et al.
Published: (2023)
by: Wang, Yidong, et al.
Published: (2023)
Machine Translation Advancements of Low-Resource Indian Languages by Transfer Learning
by: Wei, Bin, et al.
Published: (2024)
by: Wei, Bin, et al.
Published: (2024)
Evaluating LLM-Based Translation of a Low-Resource Technical Language: The Medical and Philosophical Greek of Galen
by: Zainaldin, James L., et al.
Published: (2026)
by: Zainaldin, James L., et al.
Published: (2026)
UNITYAI-GUARD: Pioneering Toxicity Detection Across Low-Resource Indian Languages
by: Beniwal, Himanshu, et al.
Published: (2025)
by: Beniwal, Himanshu, et al.
Published: (2025)
Multi-BERT: Leveraging Adapters and Prompt Tuning for Low-Resource Multi-Domain Adaptation
by: Azad, Parham Abed, et al.
Published: (2024)
by: Azad, Parham Abed, et al.
Published: (2024)
Paramanu: Compact and Competitive Monolingual Language Models for Low-Resource Morphologically Rich Indian Languages
by: Niyogi, Mitodru, et al.
Published: (2024)
by: Niyogi, Mitodru, et al.
Published: (2024)
Tuning LLMs with Contrastive Alignment Instructions for Machine Translation in Unseen, Low-resource Languages
by: Mao, Zhuoyuan, et al.
Published: (2024)
by: Mao, Zhuoyuan, et al.
Published: (2024)
Low-Confidence Gold: Refining Low-Confidence Samples for Efficient Instruction Tuning
by: Cai, Hongyi, et al.
Published: (2025)
by: Cai, Hongyi, et al.
Published: (2025)
SpeechLLM: Unified Speech and Language Model for Enhanced Multi-Task Understanding in Low Resource Settings
by: Yoo, Jaekwon, et al.
Published: (2025)
by: Yoo, Jaekwon, et al.
Published: (2025)
Bridging Writing Manner Gap in Visual Instruction Tuning by Creating LLM-aligned Instructions
by: Jing, Dong, et al.
Published: (2025)
by: Jing, Dong, et al.
Published: (2025)
Script Sensitivity: Benchmarking Language Models on Unicode, Romanized and Mixed-Script Sinhala
by: Rajapakse, Minuri, et al.
Published: (2026)
by: Rajapakse, Minuri, 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)
by: Yin, Kai, et al.
Published: (2024)
Is It Good Data for Multilingual Instruction Tuning or Just Bad Multilingual Evaluation for Large Language Models?
by: Chen, Pinzhen, et al.
Published: (2024)
by: Chen, Pinzhen, et al.
Published: (2024)
Data Selection for Multi-turn Dialogue Instruction Tuning
by: Li, Bo, et al.
Published: (2026)
by: Li, Bo, et al.
Published: (2026)
Phased Instruction Fine-Tuning for Large Language Models
by: Pang, Wei, et al.
Published: (2024)
by: Pang, Wei, et al.
Published: (2024)
Investigating Instruction Tuning Large Language Models on Graphs
by: Zhu, Kerui, et al.
Published: (2024)
by: Zhu, Kerui, et al.
Published: (2024)
Instruction Tuning With Loss Over Instructions
by: Shi, Zhengyan, et al.
Published: (2024)
by: Shi, Zhengyan, et al.
Published: (2024)
Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning
by: Zhou, Hang, et al.
Published: (2024)
by: Zhou, Hang, et al.
Published: (2024)
Can Linguistically Related Languages Guide LLM Translation in Low-Resource Settings?
by: Ramasethu, Aishwarya, et al.
Published: (2026)
by: Ramasethu, Aishwarya, et al.
Published: (2026)
TALL -- A Trainable Architecture for Enhancing LLM Performance in Low-Resource Languages
by: Ofer, Moshe, et al.
Published: (2025)
by: Ofer, Moshe, et al.
Published: (2025)
Exploring the Role of Transliteration in In-Context Learning for Low-resource Languages Written in Non-Latin Scripts
by: Ma, Chunlan, et al.
Published: (2024)
by: Ma, Chunlan, et al.
Published: (2024)
Bridging the Gap: Enhancing LLM Performance for Low-Resource African Languages with New Benchmarks, Fine-Tuning, and Cultural Adjustments
by: Alhanai, Tuka, et al.
Published: (2024)
by: Alhanai, Tuka, et al.
Published: (2024)
How Reliable Are Automatic Evaluation Methods for Instruction-Tuned LLMs?
by: Doostmohammadi, Ehsan, et al.
Published: (2024)
by: Doostmohammadi, Ehsan, et al.
Published: (2024)
A2TTS: TTS for Low Resource Indian Languages
by: Bhadoriya, Ayush Singh, et al.
Published: (2025)
by: Bhadoriya, Ayush Singh, et al.
Published: (2025)
PromptRad: Knowledge-Enhanced Multi-Label Prompt-Tuning for Low-Resource Radiology Report Labeling
by: Lin, Ying-Jia, et al.
Published: (2026)
by: Lin, Ying-Jia, et al.
Published: (2026)
Indic-TunedLens: Interpreting Multilingual Models in Indian Languages
by: Panchal, Mihir, et al.
Published: (2026)
by: Panchal, Mihir, et al.
Published: (2026)
A Study of Large Language Models for Patient Information Extraction: Model Architecture, Fine-Tuning Strategy, and Multi-task Instruction Tuning
by: Peng, Cheng, et al.
Published: (2025)
by: Peng, Cheng, et al.
Published: (2025)
GraphGPT: Graph Instruction Tuning for Large Language Models
by: Tang, Jiabin, et al.
Published: (2023)
by: Tang, Jiabin, et al.
Published: (2023)
Towards Robust Instruction Tuning on Multimodal Large Language Models
by: Han, Wei, et al.
Published: (2024)
by: Han, Wei, et al.
Published: (2024)
OctoPack: Instruction Tuning Code Large Language Models
by: Muennighoff, Niklas, et al.
Published: (2023)
by: Muennighoff, Niklas, et al.
Published: (2023)
Optimizing Psychological Counseling with Instruction-Tuned Large Language Models
by: Li, Wenjie, et al.
Published: (2024)
by: Li, Wenjie, et al.
Published: (2024)
DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning
by: Wang, Yejie, et al.
Published: (2024)
by: Wang, Yejie, et al.
Published: (2024)
Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning
by: Li, Ming, et al.
Published: (2024)
by: Li, Ming, et al.
Published: (2024)
Mind the Language Gap: Automated and Augmented Evaluation of Bias in LLMs for High- and Low-Resource Languages
by: Buscemi, Alessio, et al.
Published: (2025)
by: Buscemi, Alessio, et al.
Published: (2025)
Similar Items
-
Low-Resource Fine-Tuning for Multi-Task Structured Information Extraction with a Billion-Parameter Instruction-Tuned Model
by: Chih, Yu Cheng, et al.
Published: (2025) -
MURI: High-Quality Instruction Tuning Datasets for Low-Resource Languages via Reverse Instructions
by: Köksal, Abdullatif, et al.
Published: (2024) -
One Instruction Does Not Fit All: How Well Do Embeddings Align Personas and Instructions in Low-Resource Indian Languages?
by: Shah, Arya, et al.
Published: (2026) -
LinguaLIFT: An Effective Two-stage Instruction Tuning Framework for Low-Resource Language Reasoning
by: Zhang, Hongbin, et al.
Published: (2024) -
adaptMLLM: Fine-Tuning Multilingual Language Models on Low-Resource Languages with Integrated LLM Playgrounds
by: Lankford, Séamus, et al.
Published: (2024)