Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models | Paper Citation Record

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This paper cites GPT-4 Technical Report.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models GPT-4 Technical Report

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This paper cites Qwen Technical Report.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Qwen Technical Report

Reference 2

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This paper cites InternLM2 Technical Report.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models InternLM2 Technical Report

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This paper cites Learning transferable visual models from natural language supervision,.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Learning transferable visual models from natural language supervision,

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This paper cites Visual instruction tuning,.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Visual instruction tuning,

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This paper cites How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

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This paper cites BLIP-2: bootstrapping language-image pre-training with frozen image encoders and large language models,.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models BLIP-2: bootstrapping language-image pre-training with frozen image encoders and large language models,

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This paper cites Introducing our multimodal models,.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Introducing our multimodal models,

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This paper cites Unveiling Encoder-Free Vision-Language Models.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Unveiling Encoder-Free Vision-Language Models

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This paper cites SOLO: A Single Transformer for Scalable Vision-Language Modeling.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models SOLO: A Single Transformer for Scalable Vision-Language Modeling

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This paper cites Mono-internvl: Pushing the boundaries of monolithic multimodal large language models with endogenous visual pre-training,.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Mono-internvl: Pushing the boundaries of monolithic multimodal large language models with endogenous visual pre-training,

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This paper cites Chameleon: Mixed-Modal Early-Fusion Foundation Models.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Chameleon: Mixed-Modal Early-Fusion Foundation Models

Reference 12

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This paper cites Investigating the Catastrophic Forgetting in Multimodal Large Language Models.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Investigating the Catastrophic Forgetting in Multimodal Large Language Models

Reference 13

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This paper cites Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models

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This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

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This paper cites Lima: Less is more for alignment,.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Lima: Less is more for alignment,

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This paper cites Emu3: Next-Token Prediction is All You Need.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Emu3: Next-Token Prediction is All You Need

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This paper cites The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision).

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)

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This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Gemini: A Family of Highly Capable Multimodal Models

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This paper cites Improved Baselines with Visual Instruction Tuning.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Improved Baselines with Visual Instruction Tuning

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This paper cites Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 21

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This paper cites Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models SynerGen-VL: Towards Synergistic Image Understanding and Generation with Vision Experts and Token Folding

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This paper cites BLIP: bootstrapping language-image pre-training for unified vision-language understanding and generation,.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models BLIP: bootstrapping language-image pre-training for unified vision-language understanding and generation,

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This paper cites Instructblip: Towards general-purpose vision-language models with instruction tuning,.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Instructblip: Towards general-purpose vision-language models with instruction tuning,

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This paper cites Llava-next: Improved reasoning, ocr, and world knowledge,.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Llava-next: Improved reasoning, ocr, and world knowledge,

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This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

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This paper cites Qwen2.5-VL Technical Report.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Qwen2.5-VL Technical Report

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

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This paper cites Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Mini-internvl: a flexible-transfer pocket multi-modal model with 5% parameters and 90% performance,

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models LLaMA: Open and Efficient Foundation Language Models

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models An image is worth 16x16 words: Transformers for image recognition at scale,

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

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This paper cites Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Vlmo: Unified vision-language pre-training with mixture-of-modality-experts,

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This paper cites Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Scaling Vision-Language Models with Sparse Mixture of Experts

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Twenty years of mixture of experts,

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

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This paper cites Aria: An Open Multimodal Native Mixture-of-Experts Model.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Aria: An Open Multimodal Native Mixture-of-Experts Model

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This paper cites Attention is all you need,.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Attention is all you need,

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Root mean square layer normalization,

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This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models,.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Laion-5b: An open large-scale dataset for training next generation image-text models,

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Coyo-700m: Image-text pair dataset,

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This paper cites Segment Anything.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Segment Anything

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Kosmos-2: Grounding Multimodal Large Language Models to the World

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This paper cites Microsoft COCO Captions: Data Collection and Evaluation Server.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Microsoft COCO Captions: Data Collection and Evaluation Server

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This paper cites Textcaps: A dataset for image captioning with reading comprehension,.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Textcaps: A dataset for image captioning with reading comprehension,

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This paper cites Objects365: A large-scale, high-quality dataset for object detection,.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Objects365: A large-scale, high-quality dataset for object detection,

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This paper cites The all-seeing project: Towards panoptic visual recognition and understanding of the open world,.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models The all-seeing project: Towards panoptic visual recognition and understanding of the open world,

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Observation ba30b0f4-3e61-476c-b798-e2e44d305b27 · outbound

This paper cites Wukong: A 100 million large-scale chinese cross-modal pre-training benchmark,.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Wukong: A 100 million large-scale chinese cross-modal pre-training benchmark,

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Laion coco: 600m synthetic captions from laion2b-en

Reference 56

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning

Reference 57

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Icdar 2019 competition on large-scale street view text with partial labeling-rrc-lsvt,

Reference 58

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Scene text visual question answering,

Reference 59

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Icdar2017 competition on reading chinese text in the wild (rctw-17),

Reference 60

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Icdar 2019 robust reading challenge on reading chinese text on signboard,

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Icdar2019 robust reading challenge on arbitrary- shaped text-rrc-art,

Reference 62

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Ocr-free document understanding transformer,

Reference 63

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Chartqa: A benchmark for question answering about charts with visual and logical reasoning,

Reference 65

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models A large chinese text dataset in the wild,

Reference 66

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Simple and effective multi-paragraph reading comprehension,

Reference 67

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Textocr: Towards large-scale end-to-end reasoning for arbitrary-shaped scene text,

Reference 68

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Plotqa: Reasoning over scientific plots,

Reference 69

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Infographicvqa,

Reference 70

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Making the V in VQA matter: Elevating the role of image understanding in visual question answering,

Reference 71

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models GQA: A new dataset for real-world visual reasoning and compositional question answering,

Reference 72

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Ok-vqa: A visual question answering benchmark requiring external knowledge,

Reference 73

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Visual spatial reasoning,

Reference 74

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Visual dialog,

Reference 75

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models A diagram is worth a dozen images,

Reference 76

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Learn to explain: Multimodal reasoning via thought chains for science question answering,

Reference 77

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Are you smarter than a sixth grader? textbook question answering for multimodal machine comprehension,

Reference 78

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Dvqa: Understanding data visualizations via question answering,

Reference 79

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning

Reference 80

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models An augmented benchmark dataset for geometric question answering through dual parallel text encoding,

Reference 81

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning

Reference 82

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Reference 83

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models CLEVR-Math: A Dataset for Compositional Language, Visual and Mathematical Reasoning

Reference 84

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Super-clevr: A virtual benchmark to diagnose domain robustness in visual reasoning,

Reference 85

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning

Reference 86

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Kvqa: Knowledge- aware visual question answering,

Reference 87

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models A-okvqa: A benchmark for visual question answering using world knowledge,

Reference 88

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Viquae, a dataset for knowledge- based visual question answering about named entities,

Reference 89

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models WanJuan: A Comprehensive Multimodal Dataset for Advancing English and Chinese Large Models

Reference 90

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Ocr-vqa: Visual question answering by reading text in images,

Reference 91

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Towards VQA models that can read,

Reference 92

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Modeling context in referring expressions,

Reference 93

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Generation and comprehension of unambiguous object descriptions,

Reference 94

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Visual genome: Connecting language and vision using crowdsourced dense image annotations,

Reference 95

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 96

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language Models

Reference 97

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Gpt-4v dataset,

Reference 98

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Judging llm-as-a-judge with mt-bench and chatbot arena,

Reference 99

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models SVIT: Scaling up Visual Instruction Tuning

Reference 100

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Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Openhermes 2.5: An open dataset of synthetic data for generalist llm assistants,

Reference 101

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