Co-occurring keywords · papers mentioning both
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