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

ChatSpot: Bootstrapping Multimodal LLMs via Precise Referring Instruction Tuning IJCAI 2024 CIDAR: Culturally Relevant Instruction Dataset For Arabic ACL 2024 Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation EMNLP 2024 CodecLM: Aligning Language Models with Tailored Synthetic Data NAACL 2024 CoIN: A Benchmark of Continual Instruction Tuning for Multimodel Large Language Models NeurIPS 2024 CoLLaVO: Crayon Large Language and Vision mOdel ACL 2024 COLLIE: Systematic Construction of Constrained Text Generation Tasks ICLR 2024 COMMIT: Code-Mixing English-Centric Large Language Model for Multilingual Instruction Tuning NAACL 2024 CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions EMNLP 2024 Concept-aware Data Construction Improves In-context Learning of Language Models ACL 2024 Concept-skill Transferability-based Data Selection for Large Vision-Language Models EMNLP 2024 Contrastive Instruction Tuning ACL 2024 COSMIC: Data Efficient Instruction-tuning For Speech In-Context Learning Interspeech 2024 CRAFT: Extracting and Tuning Cultural Instructions from the Wild ACL 2024 Cross-model Control: Improving Multiple Large Language Models in One-time Training NeurIPS 2024 Cross-Task Defense: Instruction-Tuning LLMs for Content Safety NAACL 2024 Curriculum Consistency Learning for Conditional Sentence Generation EMNLP 2024 Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models EMNLP 2024 DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving NeurIPS 2024 DATA-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning ACL 2024 Data Diversity Matters for Robust Instruction Tuning EMNLP 2024 Deep Exploration of Cross-Lingual Zero-Shot Generalization in Instruction Tuning ACL 2024 Demystifying Instruction Mixing for Fine-tuning Large Language Models ACL 2024 DialogBench: Evaluating LLMs as Human-like Dialogue Systems NAACL 2024 DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI EACL 2024