6 citations · 9 across the 5 of their papers we have counts for
5 papers
Researchy Questions: A Dataset of Multi-Perspective, Decompositional Questions for LLM Web Agents
Corby Rosset, Ho-Lam Chung, Guanghui Qin +5
Existing question answering (QA) datasets are no longer challenging to most powerful Large Language Models (LLMs). Traditional QA benchmarks like TriviaQA, NaturalQuestions, ELI5 a…
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach
Nurendra Choudhary, Nikhil Rao, Chandan K. Reddy
The progress in hyperbolic neural networks (HNNs) research is hindered by their absence of inductive bias mechanisms, which are essential for generalizing to new tasks and facilita…
Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation
Jiong Zhu, Aishwarya Reganti, Edward Huang +4
Distributed training of GNNs enables learning on massive graphs (e.g., social and e-commerce networks) that exceed the storage and computational capacity of a single machine. To re…
ECP SOLLVE: Validation and Verification Testsuite Status Update and Compiler Insight for OpenMP
Thomas Huber, Swaroop Pophale, Nolan Baker +9
The OpenMP language continues to evolve with every new specification release, as does the need to validate and verify the new features that have been introduced. With the release o…
Text Enriched Sparse Hyperbolic Graph Convolutional Networks
Nurendra Choudhary, Nikhil Rao, Karthik Subbian +1
Heterogeneous networks, which connect informative nodes containing text with different edge types, are routinely used to store and process information in various real-world applica…