2 citations · 3 across the 6 of their papers we have counts for
4 papers · 1 filter
iAgentBench: Benchmarking Sensemaking Capabilities of Information-Seeking Agents on High-Traffic Topics
Preetam Prabhu Srikar Dammu, Arnav Palkhiwala, Tanya Roosta +1
With the emergence of search-enabled generative QA systems, users are increasingly turning to tools that browse, aggregate, and reconcile evidence across multiple sources on their…
ClaimDB: A Fact Verification Benchmark over Large Structured Data
Michael Theologitis, Preetam Prabhu Srikar Dammu, Chirag Shah +1
Real-world fact-checking often involves verifying claims grounded in structured data at scale. Despite substantial progress in fact-verification benchmarks, this setting remains la…
Dynamic-KGQA: A Scalable Framework for Generating Adaptive Question Answering Datasets
Preetam Prabhu Srikar Dammu, Himanshu Naidu, Chirag Shah
As question answering (QA) systems advance alongside the rapid evolution of foundation models, the need for robust, adaptable, and large-scale evaluation benchmarks becomes increas…
ClaimVer: Explainable Claim-Level Verification and Evidence Attribution of Text Through Knowledge Graphs
Preetam Prabhu Srikar Dammu, Himanshu Naidu, Mouly Dewan +4
In the midst of widespread misinformation and disinformation through social media and the proliferation of AI-generated texts, it has become increasingly difficult for people to va…