Artificial Intelligence
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Artificial Intelligence

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Prometheus-Vision: Vision-Language Model as a Judge for Fine-Grained Evaluation

πŸ–₯ Github: https://github.com/kaistai/prometheus-vision

πŸ“• Paper: https://arxiv.org/abs/2401.06591v1

πŸ”₯Datasets: https://paperswithcode.com/dataset/ok-vqa

@ArtificialIntelligencedl
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Enhancing Video Super-Resolution via Implicit Resampling-based Alignment

πŸ–₯ Github: https://github.com/kai422/iart

πŸ“• Paper: https://github.com/kai422/IART/blob/main/arxiv.pdf

πŸ”₯Datasets: https://paperswithcode.com/task/video-super-resolution

@ArtificialIntelligencedl
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CreativeSynth: Creative Blending and Synthesis of Visual Arts based on Multimodal Diffusion

πŸ–₯ Github: https://github.com/haha-lisa/creativesynth

πŸ“• Paper: https://arxiv.org/pdf/2401.14066v1.pdf

✨ Tasks: https://paperswithcode.com/task/image-generation

@ArtificialIntelligencedl
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Vaccine: Perturbation-aware Alignment for Large Language Model

πŸ–₯ Github: https://github.com/git-disl/vaccineT

πŸ“• Paper: https://arxiv.org/pdf/2402.01109v1.pdf

πŸ”₯Datasets: https://paperswithcode.com/dataset/sst

✨ Tasks: https://paperswithcode.com/task/language-modelling

@ArtificialIntelligencedl
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SoftEDA: Rethinking Rule-Based Data Augmentation with Soft Labels

πŸ–₯ Github: https://github.com/IIPL-CAU/SoftEDA

πŸ“• Paper: https://arxiv.org/pdf/2402.05591v1.pdf

πŸ”₯Datasets: https://paperswithcode.com/dataset/cola

@ArtificialIntelligencedl
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SQ-Transformer: Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings

πŸ–₯ Github: https://github.com/jiangyctarheel/sq-transformer

πŸ“• Paper: https://arxiv.org/pdf/2402.06492v1.pdf

πŸ”₯Datasets: https://paperswithcode.com/dataset/wmt-2014

@ArtificialIntelligencedl
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Visually Dehallucinative Instruction Generation: Know What You Don't Know

πŸ–₯ Github: https://github.com/ncsoft/idk

πŸ“• Paper: https://arxiv.org/pdf/2402.09717v1.pdf

πŸ”₯Dataset: https://paperswithcode.com/dataset/visual-question-answering

✨ Tasks: https://paperswithcode.com/task/hallucination

@ArtificialIntelligencedl
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ZHEM: An Integrated Data Processing Framework for Pretraining Foundation Models

πŸ–₯ Github: https://github.com/emanual20/zhem

πŸ“• Paper: https://arxiv.org/pdf/2402.16358v1.pdf

πŸ”₯Dataset: https://paperswithcode.com/dataset/wikitext-2

@ArtificialIntelligencedl
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Placing Objects in Context via Inpainting for Out-of-distribution Segmentation

πŸ–₯ Github: https://github.com/naver/poc

πŸ“• Paper: https://arxiv.org/pdf/2402.16392v1.pdf

πŸ”₯Dataset: https://paperswithcode.com/dataset/cityscapes

✨ Tasks: https://paperswithcode.com/task/segmentation

@ArtificialIntelligencedl
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RENT (Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning, ICLR 2024)

πŸ–₯ Github: https://github.com/BaeHeeSun/RENT

πŸ“• Paper: https://arxiv.org/pdf/2403.02690v1.pdf

πŸ”₯Dataset: https://paperswithcode.com/dataset/cifar-10

✨ Tasks: https://paperswithcode.com/task/learning-with-noisy-labels

@ArtificialIntelligencedl
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