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Collections including paper arxiv:2310.08166

Dissecting In-Context Learning of Translations in GPTs

Paper • 2310.15987 • Published Oct 24, 2023 • 5
Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca

Paper • 2309.08958 • Published Sep 16, 2023 • 2
X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign Languages

Paper • 2305.04160 • Published May 7, 2023 • 2
Ziya-VL: Bilingual Large Vision-Language Model via Multi-Task Instruction Tuning

Paper • 2310.08166 • Published Oct 12, 2023 • 1

Running on T4

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Llava
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents

Paper • 2311.05437 • Published Nov 9, 2023 • 40
Ziya-VL: Bilingual Large Vision-Language Model via Multi-Task Instruction Tuning

Paper • 2310.08166 • Published Oct 12, 2023 • 1

LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing

Paper • 2311.00571 • Published Nov 1, 2023 • 39
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents

Paper • 2311.05437 • Published Nov 9, 2023 • 40
Ziya-VL: Bilingual Large Vision-Language Model via Multi-Task Instruction Tuning

Paper • 2310.08166 • Published Oct 12, 2023 • 1
Reformulating Vision-Language Foundation Models and Datasets Towards Universal Multimodal Assistants

Paper • 2310.00653 • Published Oct 1, 2023 • 3

Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs

Paper • 2310.13961 • Published Oct 21, 2023 • 4
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models

Paper • 2310.13127 • Published Oct 19, 2023 • 10
Evaluating the Robustness to Instructions of Large Language Models

Paper • 2308.14306 • Published Aug 28, 2023 • 1

Woodpecker: Hallucination Correction for Multimodal Large Language Models

Paper • 2310.16045 • Published Oct 24, 2023 • 13
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 Oct 23, 2023 • 23
SILC: Improving Vision Language Pretraining with Self-Distillation

Paper • 2310.13355 • Published Oct 20, 2023 • 5
Conditional Diffusion Distillation

Paper • 2310.01407 • Published Oct 2, 2023 • 19

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