conftrace_

instruction data

17 papers

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Co-occurring keywords · papers mentioning both

instruction tuning (8) large language model (7) data synthesis (4) data quality (3) multi-agent system (2) language model fine-tuning (2) multimodal large language model (2) parameter-efficient fine-tuning (2) synthetic data generation (2) instruction following (2)

Papers

Scaling Towards the Information Boundary of Instructions through Data Synthesizing AAAI 2026 Constructing Multimodal Datasets from Scratch for Rapid Development of a Japanese Visual Language Model NAACL 2025 FANNO: Augmenting High-Quality Instruction Data with Open-Sourced LLMs Only ACL 2025 MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct ACL 2025 Oasis: One Image is All You Need for Multimodal Instruction Data Synthesis ICCV 2025 OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data ICLR 2025 Priority on High-Quality: Selecting Instruction Data via Consistency Verification of Noise Injection EMNLP 2025 RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions EMNLP 2025 Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation ACL 2025 Tag-Instruct: Controlled Instruction Complexity Enhancement through Structure-based Augmentation ACL 2025 KnowLA: Enhancing Parameter-efficient Finetuning with Knowledgeable Adaptation NAACL 2024 OceanGPT: A Large Language Model for Ocean Science Tasks ACL 2024 One-Shot Learning as Instruction Data Prospector for Large Language Models ACL 2024 REInstruct: Building Instruction Data from Unlabeled Corpus ACL 2024 WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning ACL 2024 WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions ICLR 2024 RefGPT: Dialogue Generation of GPT, by GPT, and for GPT EMNLP 2023