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Instruction Tuning

28 papers

Papers per year

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Papers

What Makes Good Instruction-Tuning Data? An In-Context Learning Perspective ACL 2026
OASIS: Online Sample Selection for Continual Instruction Tuning ACL 2026
GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models ACL 2026
PARIF: Pushing the Pareto Frontier of Instruction Following and Reasoning with Curriculum Reinforcement Learning ACL 2026
Compatibility-Aware Dynamic Fine-Tuning for Large Language Models ACL 2026
UPDESH: Synthesizing Grounded Instruction Tuning Data for 13 Indic Languages ACL 2026
ImpRIF: Stronger Implicit Reasoning Leads to Better Complex Instruction Following ACL 2026
More Aligned, Less Diverse? Analyzing the Grammar and Lexicon of Two Generations of LLMs ACL 2026
From Selection to Refinement: Iterative Optimization for Instruction Data ACL 2026
Enhancing NLU in Large Language Models Using Adversarial Noisy Instruction Tuning AAAI 2025
Chain-of-Instructions: Compositional Instruction Tuning on Large Language Models AAAI 2025
A Unified Taxonomy-Guided Instruction Tuning Framework for Entity Set Expansion and Taxonomy Expansion ACL 2025
CAD-Llama: Leveraging Large Language Models for Computer-Aided Design Parametric 3D Model Generation CVPR 2025
I-SEE: An Instruction-tuned, SOP-Enhanced Quality Evaluator for Product Content EMNLP 2025
OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset NIPS 2024
MAmmoTH2: Scaling Instructions from the Web NIPS 2024
RECOST: External Knowledge Guided Data-efficient Instruction Tuning ACL 2024
Spivavtor: An Instruction Tuned Ukrainian Text Editing Model COLING 2024
RegionGPT: Towards Region Understanding Vision Language Model CVPR 2024
Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback EMNLP 2024
Instruction Matters: A Simple yet Effective Task Selection for Optimized Instruction Tuning of Specific Tasks EMNLP 2024
Which questions should I answer? Salience Prediction of Inquisitive Questions EMNLP 2024
Improving Argument Effectiveness Across Ideologies using Instruction-tuned Large Language Models EMNLP 2024
An Instruction Tuning-Based Contrastive Learning Framework for Aspect Sentiment Quad Prediction with Implicit Aspects and Opinions EMNLP 2024
Achieving Stronger Generation via Simple Contrastive Tuning EMNLP 2024