TinyLlama-1.1B
π₯ Github: https://github.com/jzhang38/tinyllama
π Paper: https://arxiv.org/pdf/2401.02385v1.pdf
π₯Datasets: https://paperswithcode.com/dataset/mmlu
@ArtificialIntelligencedl
π₯Datasets: https://paperswithcode.com/dataset/mmlu
@ArtificialIntelligencedl
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Sign Language Understanding
π₯ Github: https://github.com/FangyunWei/SLRT
π Paper: https://arxiv.org/pdf/2401.05336v1.pdf
π₯Datasets: https://paperswithcode.com/dataset/csl-daily
@ArtificialIntelligencedl
π₯Datasets: https://paperswithcode.com/dataset/csl-daily
@ArtificialIntelligencedl
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ViQuAE
π₯ Github: https://github.com/paullerner/viquae
π Paper: https://arxiv.org/pdf/2401.05736v1.pdf
π₯Datasets: https://paperswithcode.com/dataset/imagenet
β¨ Tasks: https://paperswithcode.com/task/cross-modal-retrieval
@ArtificialIntelligencedl
π₯Datasets: https://paperswithcode.com/dataset/imagenet
@ArtificialIntelligencedl
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Prometheus-Vision: Vision-Language Model as a Judge for Fine-Grained Evaluation
π₯ Github: https://github.com/kaistai/prometheus-vision
π Paper: https://arxiv.org/abs/2401.06591v1
π₯Datasets: https://paperswithcode.com/dataset/ok-vqa
@ArtificialIntelligencedl
π₯Datasets: https://paperswithcode.com/dataset/ok-vqa
@ArtificialIntelligencedl
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Enhancing Video Super-Resolution via Implicit Resampling-based Alignment
π₯ Github: https://github.com/kai422/iart
π Paper: https://github.com/kai422/IART/blob/main/arxiv.pdf
π₯Datasets: https://paperswithcode.com/task/video-super-resolution
@ArtificialIntelligencedl
π₯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
π₯ Github: https://github.com/haha-lisa/creativesynth
π Paper: https://arxiv.org/pdf/2401.14066v1.pdf
β¨ Tasks: https://paperswithcode.com/task/image-generation
@ArtificialIntelligencedl
@ArtificialIntelligencedl
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pix2gestalt: Amodal Segmentation by Synthesizing Wholes
π₯ Github: https://github.com/cvlab-columbia/pix2gestalt
π Paper: https://arxiv.org/pdf/2401.14398v1.pdf
β¨ Tasks: https://paperswithcode.com/task/3d-reconstruction
@ArtificialIntelligencedl
@ArtificialIntelligencedl
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Vaccine: Perturbation-aware Alignment for Large Language Model
π₯ Github: https://github.com/git-disl/vaccineT
π Paper: https://arxiv.org/pdf/2402.01109v1.pdf
π₯Datasets: https://paperswithcode.com/dataset/sst
β¨ Tasks: https://paperswithcode.com/task/language-modelling
@ArtificialIntelligencedl
π₯Datasets: https://paperswithcode.com/dataset/sst
@ArtificialIntelligencedl
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SoftEDA: Rethinking Rule-Based Data Augmentation with Soft Labels
π₯ Github: https://github.com/IIPL-CAU/SoftEDA
π Paper: https://arxiv.org/pdf/2402.05591v1.pdf
π₯Datasets: https://paperswithcode.com/dataset/cola
@ArtificialIntelligencedl
π₯Datasets: https://paperswithcode.com/dataset/cola
@ArtificialIntelligencedl
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EasyKV
π₯ Github: https://github.com/drsy/easykv
π Paper: https://arxiv.org/pdf/2402.06262v1.pdf
π₯Datasets: https://paperswithcode.com/dataset/webtext
@ArtificialIntelligencedl
π₯Datasets: https://paperswithcode.com/dataset/webtext
@ArtificialIntelligencedl
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SQ-Transformer: Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings
π₯ Github: https://github.com/jiangyctarheel/sq-transformer
π Paper: https://arxiv.org/pdf/2402.06492v1.pdf
π₯Datasets: https://paperswithcode.com/dataset/wmt-2014
@ArtificialIntelligencedl
π₯Datasets: https://paperswithcode.com/dataset/wmt-2014
@ArtificialIntelligencedl
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MIM-Refiner
π₯ Github: https://github.com/ml-jku/MIM-Refiner
π Paper: https://arxiv.org/pdf/2402.10093v1.pdf
π₯Datasets: https://paperswithcode.com/dataset/imagenet
β¨ Tasks: https://paperswithcode.com/task/image-clustering
@ArtificialIntelligencedl
π₯Datasets: https://paperswithcode.com/dataset/imagenet
@ArtificialIntelligencedl
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TIA Toolbox
π₯ Github: https://github.com/tissueimageanalytics/tiatoolbox
π Paper: https://arxiv.org/pdf/2402.09990v1.pdf
β¨ Tasks: https://paperswithcode.com/task/whole-slide-images
@ArtificialIntelligencedl
@ArtificialIntelligencedl
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PDD: Positional Discourse Divergence
π₯ Github: https://github.com/williamlyh/pos_div_metric
π Paper: https://arxiv.org/pdf/2402.10175v1.pdf
π₯Dataset: https://paperswithcode.com/dataset/recipe1m-1
β¨ Tasks: https://paperswithcode.com/task/coherence-evaluation
@ArtificialIntelligencedl
π₯Dataset: https://paperswithcode.com/dataset/recipe1m-1
@ArtificialIntelligencedl
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Visually Dehallucinative Instruction Generation: Know What You Don't Know
π₯ Github: https://github.com/ncsoft/idk
π Paper: https://arxiv.org/pdf/2402.09717v1.pdf
π₯Dataset: https://paperswithcode.com/dataset/visual-question-answering
β¨ Tasks: https://paperswithcode.com/task/hallucination
@ArtificialIntelligencedl
π₯Dataset: https://paperswithcode.com/dataset/visual-question-answering
@ArtificialIntelligencedl
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Energy-Time-series-anomaly-detection
π₯ Github: https://github.com/HardikPrabhu/Energy-Time-series-anomaly-detection
π Paper: https://arxiv.org/pdf/2402.14384v1.pdf
β¨ Tasks: https://paperswithcode.com/task/anomaly-detection
@ArtificialIntelligencedl
@ArtificialIntelligencedl
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Graph Diffusion Policy Optimization
π₯ Github: https://github.com/sail-sg/gdpo
π Paper: https://arxiv.org/pdf/2402.16302v1.pdf
π₯Dataset: https://paperswithcode.com/dataset/zinc
β¨ Tasks: https://paperswithcode.com/task/graph-generation
@ArtificialIntelligencedl
π₯Dataset: https://paperswithcode.com/dataset/zinc
@ArtificialIntelligencedl
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DCVSMNet: Double Cost Volume Stereo Matching Network
π₯ Github: https://github.com/m2219/dcvsmnet
π Paper: https://arxiv.org/pdf/2402.16473v1.pdf
π₯Dataset: https://paperswithcode.com/dataset/kitti
β¨ Tasks: https://paperswithcode.com/task/stereo-matching-1
@ArtificialIntelligencedl
π₯Dataset: https://paperswithcode.com/dataset/kitti
@ArtificialIntelligencedl
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ZHEM: An Integrated Data Processing Framework for Pretraining Foundation Models
π₯ Github: https://github.com/emanual20/zhem
π Paper: https://arxiv.org/pdf/2402.16358v1.pdf
π₯Dataset: https://paperswithcode.com/dataset/wikitext-2
@ArtificialIntelligencedl
π₯Dataset: https://paperswithcode.com/dataset/wikitext-2
@ArtificialIntelligencedl
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Placing Objects in Context via Inpainting for Out-of-distribution Segmentation
π₯ Github: https://github.com/naver/poc
π Paper: https://arxiv.org/pdf/2402.16392v1.pdf
π₯Dataset: https://paperswithcode.com/dataset/cityscapes
β¨ Tasks: https://paperswithcode.com/task/segmentation
@ArtificialIntelligencedl
π₯Dataset: https://paperswithcode.com/dataset/cityscapes
@ArtificialIntelligencedl
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