Co-occurring keywords · papers mentioning both
Papers
Preference-Oriented Supervised Fine-Tuning: Favoring Target Model over Aligned Large Language Models
AAAI 2025
Primus: A Pioneering Collection of Open-Source Datasets for Cybersecurity LLM Training
EMNLP 2025
Priority on High-Quality: Selecting Instruction Data via Consistency Verification of Noise Injection
EMNLP 2025
Probing and Boosting Large Language Models Capabilities via Attention Heads
EMNLP 2025
ProLongVid: A Simple but Strong Baseline for Long-context Video Instruction Tuning
EMNLP 2025
Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models
ICLR 2025
Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages
ACL 2025
ProSwitch: Knowledge-Guided Instruction Tuning to Switch Between Professional and Non-Professional Responses
IJCNLP 2025
Pula: Training Large Language Models for Setswana
NAACL 2025
Qwen2.5-xCoder: Multi-Agent Collaboration for Multilingual Code Instruction Tuning
ACL 2025
RAISE: Reinforced Adaptive Instruction Selection For Large Language Models
EMNLP 2025
ReadCtrl: Personalizing text generation with readability-controlled instruction learning
NAACL 2025
RecLM: Recommendation Instruction Tuning
ACL 2025
ReMoGPT: Part-Level Retrieval-Augmented Motion-Language Models
AAAI 2025
Rethinking Table Instruction Tuning
ACL 2025
Revealing the Inherent Instructability of Pre-Trained Language Models
EMNLP 2025
Review-Instruct: A Review-Driven Multi-Turn Conversations Generation Method for Large Language Models
ACL 2025
Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift
CVPR 2025
Robin3D: Improving 3D Large Language Model via Robust Instruction Tuning
ICCV 2025
Role-Aware Language Models for Secure and Contextualized Access Control in Organizations
IJCNLP 2025
ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning
EMNLP 2025
Scalable Vision Language Model Training via High Quality Data Curation
ACL 2025
Scaling Instruction-tuned LLMs to Million-token Contexts via Hierarchical Synthetic Data Generation
ICLR 2025
Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation
ACL 2025
SCAR: Data Selection via Style Consistency-Aware Response Ranking for Efficient Instruction-Tuning of Large Language Models
ACL 2025