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Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs
Paper • 2310.13961 • Published • 4 -
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs
Paper • 2309.09582 • Published • 4 -
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models
Paper • 2310.13127 • Published • 11 -
Evaluating the Robustness to Instructions of Large Language Models
Paper • 2308.14306 • Published • 1
Collections
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Collections including paper arxiv:2309.08637
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Woodpecker: Hallucination Correction for Multimodal Large Language Models
Paper • 2310.16045 • Published • 15 -
HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models
Paper • 2310.14566 • Published • 25 -
SILC: Improving Vision Language Pretraining with Self-Distillation
Paper • 2310.13355 • Published • 8 -
Conditional Diffusion Distillation
Paper • 2310.01407 • Published • 20
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An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models
Paper • 2309.09958 • Published • 18 -
TextBind: Multi-turn Interleaved Multimodal Instruction-following
Paper • 2309.08637 • Published • 7 -
Contrastive Decoding Improves Reasoning in Large Language Models
Paper • 2309.09117 • Published • 37
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PDFTriage: Question Answering over Long, Structured Documents
Paper • 2309.08872 • Published • 53 -
Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 77 -
Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data?
Paper • 2309.08963 • Published • 9 -
TextBind: Multi-turn Interleaved Multimodal Instruction-following
Paper • 2309.08637 • Published • 7
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An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models
Paper • 2309.09958 • Published • 18 -
TextBind: Multi-turn Interleaved Multimodal Instruction-following
Paper • 2309.08637 • Published • 7 -
Improved Baselines with Visual Instruction Tuning
Paper • 2310.03744 • Published • 37 -
A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions
Paper • 2312.08578 • Published • 16
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An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models
Paper • 2309.09958 • Published • 18 -
TextBind: Multi-turn Interleaved Multimodal Instruction-following
Paper • 2309.08637 • Published • 7 -
AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model
Paper • 2309.16058 • Published • 55 -
Qwen Technical Report
Paper • 2309.16609 • Published • 35