695 citations · 2.7k across the 76 of their papers we have counts for
6 papers · 1 filter
TurtleBench: A Visual Programming Benchmark in Turtle Geometry
Sina Rismanchian, Yasaman Razeghi, Sameer Singh +1
Humans have the ability to reason about geometric patterns in images and scenes from a young age. However, developing large multimodal models (LMMs) capable of similar reasoning re…
Modular Framework for Visuomotor Language Grounding
Kolby Nottingham, Litian Liang, Daeyun Shin +3
Natural language instruction following tasks serve as a valuable test-bed for grounded language and robotics research. However, data collection for these tasks is expensive and end…
Embedding Multimodal Relational Data for Knowledge Base Completion
Pouya Pezeshkpour, Liyan Chen, Sameer Singh
Representing entities and relations in an embedding space is a well-studied approach for machine learning on relational data. Existing approaches, however, primarily focus on simpl…
Relational Learning and Feature Extraction by Querying over Heterogeneous Information Networks
Parisa Kordjamshidi, Sameer Singh, Daniel Khashabi +4
Many real world systems need to operate on heterogeneous information networks that consist of numerous interacting components of different types. Examples include systems that perf…
Compiling Relational Database Schemata into Probabilistic Graphical Models
Sameer Singh, Thore Graepel
Instead of requiring a domain expert to specify the probabilistic dependencies of the data, in this work we present an approach that uses the relational DB schema to automatically…
Distantly Labeling Data for Large Scale Cross-Document Coreference
Sameer Singh, Michael Wick, Andrew McCallum
Cross-document coreference, the problem of resolving entity mentions across multi-document collections, is crucial to automated knowledge base construction and data mining tasks. H…