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conftrace_

instruction tuning

923 papers

IT

Papers

Exploring Compositional Generalization of Large Language Models NAACL 2024 Exploring Nested Named Entity Recognition with Large Language Models: Methods, Challenges, and Insights EMNLP 2024 Exploring the Relationship between In-Context Learning and Instruction Tuning EMNLP 2024 Factuality of Large Language Models: A Survey EMNLP 2024 FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models NeurIPS 2024 Ferret: Refer and Ground Anything Anywhere at Any Granularity ICLR 2024 FLAME : Factuality-Aware Alignment for Large Language Models NeurIPS 2024 From Discrimination to Generation: Low-Resource Intent Detection with Language Model Instruction Tuning ACL 2024 From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning NAACL 2024 From Multimodal LLM to Human-level AI: Modality, Instruction, Reasoning, Efficiency and beyond COLING 2024 From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning NAACL 2024 From Role-Play to Drama-Interaction: An LLM Solution ACL 2024 Functionality learning through specification instructions EMNLP 2024 FuxiTranyu: A Multilingual Large Language Model Trained with Balanced Data EMNLP 2024 GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities EMNLP 2024 Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-following LLM EACL 2024 Generative Multimodal Models are In-Context Learners CVPR 2024 Getting More from Less: Large Language Models are Good Spontaneous Multilingual Learners EMNLP 2024 Global Gallery: The Fine Art of Painting Culture Portraits through Multilingual Instruction Tuning NAACL 2024 GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction ICLR 2024 Grounding Gaps in Language Model Generations NAACL 2024 HEMM: Holistic Evaluation of Multimodal Foundation Models NeurIPS 2024 Hidden Persuaders: LLMs’ Political Leaning and Their Influence on Voters EMNLP 2024 Honeybee: Locality-enhanced Projector for Multimodal LLM CVPR 2024 How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data EMNLP 2024