Zero-shot Faithfulness Evaluation for Text Summarization with Foundation Language Model
π₯ Github: https://github.com/jiaqisjtu/faitheval-fflm
π Paper: https://arxiv.org/pdf/2310.11648v1.pdf
π₯ Datasets: https://paperswithcode.com/dataset/cnn-daily-mail-1
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CUDA_VISIBLE_DEVICES=0 python3 main.py
π₯ Datasets: https://paperswithcode.com/dataset/cnn-daily-mail-1
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FER
π₯ Github: https://github.com/ict-bigdatalab/fer
π Paper: https://arxiv.org/pdf/2310.11868v1.pdf
π₯ Datasets: https://paperswithcode.com/dataset/fever
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π₯ Datasets: https://paperswithcode.com/dataset/fever
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DD-Net
π₯ Github: https://github.com/fandulu/DD-Net
π Paper: https://arxiv.org/pdf/1907.09658.pdf
π₯ Datasets: https://paperswithcode.com/dataset/gtea
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π₯ Datasets: https://paperswithcode.com/dataset/gtea
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SplitGNN
π₯ Github: https://github.com/blackboxo/SplitGNN
π Paper: https://dl.acm.org/doi/pdf/10.1145/3583780.3615067
π₯ Datasets: https://paperswithcode.com/dataset/fdcompcn
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π₯ Datasets: https://paperswithcode.com/dataset/fdcompcn
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SALMONN: Speech Audio Language Music Open Neural Network
π₯ Github: https://github.com/bytedance/salmonn
π Paper: https://arxiv.org/pdf/2310.13289v1.pdf
π₯ Datasets: https://paperswithcode.com/dataset/librispeech
@ArtificialIntelligencedl
π₯ Datasets: https://paperswithcode.com/dataset/librispeech
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[NeurIPS 2023] Global Structure-Aware Diffusion Process for Low-Light Image Enhancement
π₯ Github: https://github.com/jinnh/GSAD
π Paper: https://arxiv.org/pdf/2310.17577.pdf
π₯ Datasets: https://paperswithcode.com/dataset/lol
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π₯ Datasets: https://paperswithcode.com/dataset/lol
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Human-Guided Complexity-Controlled Abstractions
π₯ Github: https://github.com/mycal-tucker/human-guided-abstractions
π Paper: https://arxiv.org/pdf/2310.17550v1.pdf
π₯ Datasets: https://paperswithcode.com/dataset/fashion-mnist
@ArtificialIntelligencedl
π₯ Datasets: https://paperswithcode.com/dataset/fashion-mnist
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DialogLLMScenic
π₯ Github: https://github.com/avmb/dialogllmscenic
π Paper: https://arxiv.org/pdf/2310.17372v1.pdf
π₯ Datasets: https://paperswithcode.com/dataset/carla
β Tasks: https://paperswithcode.com/task/self-driving-cars
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π₯ Datasets: https://paperswithcode.com/dataset/carla
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PETA: Evaluating the Impact of Protein Transfer Learning with Sub-word Tokenization on Downstream Applications
π₯ Github: hhttps://github.com/ginnm/proteinpretraining
π Paper: https://arxiv.org/pdf/2310.17415v1.pdf
π₯ Datasets: https://paperswithcode.com/dataset/peta-protein
β Tasks: https://paperswithcode.com/task/language-modelling
@ArtificialIntelligencedl
π₯ Datasets: https://paperswithcode.com/dataset/peta-protein
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Bilingual Corpus Mining and Multistage Fine-Tuning for Improving Machine Translation of Lecture Transcripts
π₯ Github: https://github.com/shyyhs/CourseraParallelCorpusMining
π Paper: https://arxiv.org/abs/2311.03696v1
π₯ Datasets: https://paperswithcode.com/dataset/aspec
@ArtificialIntelligencedl
π₯ Datasets: https://paperswithcode.com/dataset/aspec
@ArtificialIntelligencedl
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Conic10K
π₯ Github:https://github.com/whynlp/conic10k
π Paper: https://arxiv.org/pdf/2311.05113v1.pdf
π₯ Datasets: https://paperswithcode.com/dataset/gsm8k
β¨ Tasks: https://paperswithcode.com/task/natural-language-understanding
@ArtificialIntelligencedl
π₯ Datasets: https://paperswithcode.com/dataset/gsm8k
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Quantized Distillation for Driver Activity Recognition
π₯ Github: https://github.com/calvintanama/qd-driver-activity-reco
π Paper: https://arxiv.org/pdf/2311.05970v1.pdf
π₯ Datasets: https://paperswithcode.com/dataset/drive-act
β¨ Tasks: https://paperswithcode.com/task/activity-recognition
@ArtificialIntelligencedl
π₯ Datasets: https://paperswithcode.com/dataset/drive-act
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Inherently Interpretable Time Series Classification via Multiple Instance Learning (MILLET)
π₯ Github: https://github.com/jaearly/miltimeseriesclassification
π Paper: https://arxiv.org/pdf/2311.10049v1.pdf
β¨ Tasks: https://paperswithcode.com/task/decision-making
@ArtificialIntelligencedl
@ArtificialIntelligencedl
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minimax: Efficient Baselines for Autocurricula in JAX
π₯ Github: https://github.com/facebookresearch/minimax
π Paper: https://arxiv.org/pdf/2311.12716v1.pdf
β¨ Tasks: https://paperswithcode.com/task/decision-making
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β ChessVision - A dataset for logically coherent multi-label classification.
ΠΠ°Π±ΠΎΡ Π΄Π°Π½Π½ΡΡ Ρ ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΡΠΌΠΈ ΡΠ°Ρ ΠΌΠ°ΡΠ½ΡΡ Π΄ΠΎΡΠΎΠΊ Π² ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ ΠΏΠΎΠ·ΠΈΡΠΈΡΡ .
π₯ Github: https://github.com/espressovi/chessvisionchallenge
π Paper: https://arxiv.org/pdf/2311.12610v1.pdf
β¨ Tasks: https://paperswithcode.com/task/classification-1
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ΠΠ°Π±ΠΎΡ Π΄Π°Π½Π½ΡΡ Ρ ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΡΠΌΠΈ ΡΠ°Ρ ΠΌΠ°ΡΠ½ΡΡ Π΄ΠΎΡΠΎΠΊ Π² ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ ΠΏΠΎΠ·ΠΈΡΠΈΡΡ .
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GraphEmb
π₯ Github: https://github.com/ubioinformat/graphemb
π Paper: https://arxiv.org/pdf/2311.12670v1.pdf
β¨ Tasks: https://paperswithcode.com/task/benchmarking
@ArtificialIntelligencedl
@ArtificialIntelligencedl
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Infant Action Recognition
π₯ Github: https://github.com/ostadabbas/video-based-infant-action-recognition
π Paper: https://arxiv.org/pdf/2311.12300v1.pdf
β¨ Tasks: https://paperswithcode.com/task/action-recognition-in-videos
π₯Datasets: https://paperswithcode.com/dataset/ntu-rgb-d
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π₯Datasets: https://paperswithcode.com/dataset/ntu-rgb-d
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CSMeD: Citation Screening Meta-Dataset for systematic review automation evaluation
π₯ Github: https://github.com/wojciechkusa/systematic-review-datasets
π Paper: https://arxiv.org/pdf/2311.12474v1.pdf
β¨ Tasks: https://paperswithcode.com/task/question-answering
π₯Datasets: https://paperswithcode.com/dataset/blurb
@ArtificialIntelligencedl
π₯Datasets: https://paperswithcode.com/dataset/blurb
@ArtificialIntelligencedl
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Probabilistic-Forecast-Reconciliation-with-DL
π₯ Github: https://github.com/guanyu0316/Probabilistic-Forecast-Reconciliation-with-DL
π Paper: https://arxiv.org/pdf/2311.12279v1.pdf
β¨ Tasks: https://paperswithcode.com/task/time-series-1
@ArtificialIntelligencedl
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AdaptConfByteTrack
π₯ Github: https://github.com/linh-gist/AdaptConfByteTrack
π Paper: https://arxiv.org/pdf/2312.01650v1.pdf
π₯Datasets: https://paperswithcode.com/dataset/motchallenge
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π₯Datasets: https://paperswithcode.com/dataset/motchallenge
@ArtificialIntelligencedl
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