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Spatial Reasoning

Papers

Showing 126150 of 453 papers

TitleStatusHype
End-to-End Egospheric Spatial MemoryCode1
Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal ReasoningCode1
Geospatial Mechanistic Interpretability of Large Language ModelsCode1
GuessWhat?! Visual object discovery through multi-modal dialogueCode1
TopViewRS: Vision-Language Models as Top-View Spatial ReasonersCode1
VideoINSTA: Zero-shot Long Video Understanding via Informative Spatial-Temporal Reasoning with LLMsCode1
Visual Spatial ReasoningCode1
Enhancing Reasoning to Adapt Large Language Models for Domain-Specific ApplicationsCode1
From Seeing to Doing: Bridging Reasoning and Decision for Robotic ManipulationCode1
SpaceNLI: Evaluating the Consistency of Predicting Inferences in SpaceCode0
SpaRC and SpaRP: Spatial Reasoning Characterization and Path Generation for Understanding Spatial Reasoning Capability of Large Language ModelsCode0
SORNet: Spatial Object-Centric Representations for Sequential ManipulationCode0
SPaRC: A Spatial Pathfinding Reasoning ChallengeCode0
Bridging the Dynamic Perception Gap: Training-Free Draft Chain-of-Thought for Dynamic Multimodal Spatial ReasoningCode0
EgoHumans: An Egocentric 3D Multi-Human BenchmarkCode0
Representation Learning for Grounded Spatial ReasoningCode0
Show, Don't Tell: Evaluating Large Language Models Beyond Textual Understanding with ChildPlayCode0
Polymath: A Challenging Multi-modal Mathematical Reasoning BenchmarkCode0
Disentangling Extraction and Reasoning in Multi-hop Spatial ReasoningCode0
OST-Bench: Evaluating the Capabilities of MLLMs in Online Spatio-temporal Scene UnderstandingCode0
DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial Reasoning in TextCode0
Dense 2D-3D Indoor Prediction with Sound via Aligned Cross-Modal DistillationCode0
3D CoCa: Contrastive Learners are 3D CaptionersCode0
DeepSSN: a deep convolutional neural network to assess spatial scene similarityCode0
No Blind Spots: Full-Surround Multi-Object Tracking for Autonomous Vehicles using Cameras & LiDARsCode0
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