SOTAVerified

Temporal Sequences

This task asks models to answer questions about which times certain events could have occurred.

Source: BIG-bench

Image source: BIG-bench

Papers

Showing 125 of 200 papers

TitleStatusHype
Training Compute-Optimal Large Language ModelsCode6
Temporal Working Memory: Query-Guided Segment Refinement for Enhanced Multimodal UnderstandingCode3
SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation ImageryCode3
PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series ForecastingCode2
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar MemoriesCode2
TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation DataCode2
Scaling Video-Language Models to 10K Frames via Hierarchical Differential DistillationCode2
Multi-Patch Prediction: Adapting LLMs for Time Series Representation LearningCode2
RoboSense: Large-scale Dataset and Benchmark for Egocentric Robot Perception and Navigation in Crowded and Unstructured EnvironmentsCode2
Scaling Language Models: Methods, Analysis & Insights from Training GopherCode2
Scalable Spatiotemporal Graph Neural NetworksCode1
Grid: Omni Visual GenerationCode1
Causal Representation Learning for Instantaneous and Temporal Effects in Interactive SystemsCode1
KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold NetworksCode1
Remaining Useful Life Prediction for Aircraft Engines using LSTMCode1
Learning future terrorist targets through temporal meta-graphsCode1
Representation Learning via Global Temporal Alignment and Cycle-ConsistencyCode1
Predicting Human Scanpaths in Visual Question AnsweringCode1
Cross-attention Spatio-temporal Context Transformer for Semantic Segmentation of Historical MapsCode1
Detecting Invisible PeopleCode1
Continual Spatio-Temporal Graph Convolutional NetworksCode1
Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention NetworksCode1
Functional Map of the WorldCode1
CITRIS: Causal Identifiability from Temporal Intervened SequencesCode1
M2A: Motion Aware Attention for Accurate Video Action RecognitionCode1
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