conftrace_

instruction tuning

923 papers

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Also known as

IT

Co-occurring keywords · papers mentioning both

large language model (481) language model (91) vision-language model (69) multimodal learning (68) zero-shot learning (67) multimodal large language model (62) transfer learning (55) few-shot learning (46) low-resource language (45) in-context learning (42)

Papers

X-Instruction: Aligning Language Model in Low-resource Languages with Self-curated Cross-lingual Instructions ACL 2024 XL-HeadTags: Leveraging Multimodal Retrieval Augmentation for the Multilingual Generation of News Headlines and Tags ACL 2024 Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection ACL 2024 Zero-Shot Fact Verification via Natural Logic and Large Language Models EMNLP 2024 2INER: Instructive and In-Context Learning on Few-Shot Named Entity Recognition EMNLP 2023 Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks EMNLP 2023 Adding Instructions during Pretraining: Effective way of Controlling Toxicity in Language Models EACL 2023 Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors ACL 2023 An Empirical Study of Instruction-tuning Large Language Models in Chinese EMNLP 2023 Arabic Mini-ClimateGPT : A Climate Change and Sustainability Tailored Arabic LLM EMNLP 2023 A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for Fairer Instruction-Tuned Machine Translation EMNLP 2023 Automatic Evaluation of Generative Models with Instruction Tuning EMNLP 2023 Battle of the Large Language Models: Dolly vs LLaMA vs Vicuna vs Guanaco vs Bard vs ChatGPT - A Text-to-SQL Parsing Comparison EMNLP 2023 Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models NeurIPS 2023 CITB: A Benchmark for Continual Instruction Tuning EMNLP 2023 CodeT5+: Open Code Large Language Models for Code Understanding and Generation EMNLP 2023 CoEdIT: Text Editing by Task-Specific Instruction Tuning EMNLP 2023 CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model EMNLP 2023 DecompEval: Evaluating Generated Texts as Unsupervised Decomposed Question Answering ACL 2023 Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning ACL 2023 Differentiable Instruction Optimization for Cross-Task Generalization ACL 2023 Do Large Language Models Know What They Don’t Know? ACL 2023 Do Models Really Learn to Follow Instructions? An Empirical Study of Instruction Tuning ACL 2023 Don’t Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner NeurIPS 2023 Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation EMNLP 2023