conftrace_

instruction tuning

838 papers

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Also known as

IT

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large language model (13587) language model (4599) multimodal learning (4645) zero-shot learning (3650) transfer learning (5449) vision-language model (2348) low-resource language (2273) few-shot learning (3398) in-context learning (1405) multimodal large language model (966)

Papers

Preference-Oriented Supervised Fine-Tuning: Favoring Target Model over Aligned Large Language Models AAAI 2025
CYCLE-INSTRUCT: Fully Seed-Free Instruction Tuning via Dual Self-Training and Cycle Consistency EMNLP 2025
UnitCoder: Scalable Code Synthesis from Pre-training Corpora EMNLP 2025
AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs EMNLP 2025
CoVoGER: A Multilingual Multitask Benchmark for Speech-to-text Generative Error Correction with Large Language Models EMNLP 2025
DA-Pred: Performance Prediction for Text Summarization under Domain-Shift and Instruct-Tuning EMNLP 2025
CodeArena: Evaluating and Aligning CodeLLMs on Human Preference EMNLP 2025
Primus: A Pioneering Collection of Open-Source Datasets for Cybersecurity LLM Training EMNLP 2025
CoMMIT: Coordinated Multimodal Instruction Tuning EMNLP 2025
MAIN: Mutual Alignment Is Necessary for instruction tuning EMNLP 2025
DeepResonance: Enhancing Multimodal Music Understanding via Music-centric Multi-way Instruction Tuning EMNLP 2025
Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning EMNLP 2025
CrystalICL: Enabling In-Context Learning for Crystal Generation EMNLP 2025
Priority on High-Quality: Selecting Instruction Data via Consistency Verification of Noise Injection EMNLP 2025
Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning EMNLP 2025
Comprehensive and Efficient Distillation for Lightweight Sentiment Analysis Models EMNLP 2025
Massive Supervised Fine-tuning Experiments Reveal How Data, Layer, and Training Factors Shape LLM Alignment Quality EMNLP 2025
ZERA: Zero-init Instruction Evolving Refinement Agent – From Zero Instructions to Structured Prompts via Principle-based Optimization EMNLP 2025
Probing and Boosting Large Language Models Capabilities via Attention Heads EMNLP 2025
BrailleLLM: Braille Instruction Tuning with Large Language Models for Braille Domain Tasks EMNLP 2025
MAviS: A Multimodal Conversational Assistant For Avian Species EMNLP 2025
Instructing Large Language Models for Low-Resource Languages: A Systematic Study for Basque EMNLP 2025
ProLongVid: A Simple but Strong Baseline for Long-context Video Instruction Tuning EMNLP 2025
I-SEE: An Instruction-tuned, SOP-Enhanced Quality Evaluator for Product Content EMNLP 2025
Fine-Tuning on Noisy Instructions: Effects on Generalization and Performance IJCNLP 2025