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TitleStatusHype
Position: What Can Large Language Models Tell Us about Time Series AnalysisCode2
How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric LearningCode2
Robot Trajectron: Trajectory Prediction-based Shared Control for Robot ManipulationCode2
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space ModelCode2
Extending LLMs' Context Window with 100 SamplesCode2
Never Lost in the Middle: Mastering Long-Context Question Answering with Position-Agnostic Decompositional TrainingCode2
Fast Chain-of-Thought: A Glance of Future from Parallel Decoding Leads to Answers FasterCode2
Position Interpolation Improves ALiBi ExtrapolationCode2
ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction HorizonsCode2
PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise TrainingCode2
Lost in the Middle: How Language Models Use Long ContextsCode2
Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous DrivingCode2
Detection Transformer with Stable MatchingCode2
LayoutDM: Discrete Diffusion Model for Controllable Layout GenerationCode2
A Length-Extrapolatable TransformerCode2
CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical FlowCode2
Point Transformer V2: Grouped Vector Attention and Partition-based PoolingCode2
Mega: Moving Average Equipped Gated AttentionCode2
DeepInteraction: 3D Object Detection via Modality InteractionCode2
Stratified Transformer for 3D Point Cloud SegmentationCode2
ParC-Net: Position Aware Circular Convolution with Merits from ConvNets and TransformerCode2
Train Short, Test Long: Attention with Linear Biases Enables Input Length ExtrapolationCode2
FLAT: Chinese NER Using Flat-Lattice TransformerCode2
MPNet: Masked and Permuted Pre-training for Language UnderstandingCode2
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic SegmentationCode2
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