6 citations · 19 across the 17 of their papers we have counts for
20 papers
Two-Sample Testing for Random Graphs without Vertex Correspondence
Soham Dan
Two populations of graphs often have to be compared without any correspondence between their vertices, for instance when networks come from different communities, or when a graph g…
Two-Sample Testing for Inhomogeneous Random Graphs in Non-Integral Norms
Soham Dan
Testing whether two populations of networks share the same edge probabilities is a basic problem in network inference. How hard it is depends on the norm used to measure the differ…
MrGuard: A Multilingual Reasoning Guardrail for Universal LLM Safety
Yahan Yang, Soham Dan, Shuo Li +2
Large Language Models (LLMs) are susceptible to adversarial attacks such as jailbreaking, which can elicit harmful or unsafe behaviors. This vulnerability is exacerbated in multili…
NAVCON: A Cognitively Inspired and Linguistically Grounded Corpus for Vision and Language Navigation
Karan Wanchoo, Xiaoye Zuo, Hannah Gonzalez +5
We present NAVCON, a large-scale annotated Vision-Language Navigation (VLN) corpus built on top of two popular datasets (R2R and RxR). The paper introduces four core, cognitively m…
Benchmarking LLM Guardrails in Handling Multilingual Toxicity
Yahan Yang, Soham Dan, Dan Roth +1
With the ubiquity of Large Language Models (LLMs), guardrails have become crucial to detect and defend against toxic content. However, with the increasing pervasiveness of LLMs in…
On the Calibration of Multilingual Question Answering LLMs
Yahan Yang, Soham Dan, Dan Roth +1
Multilingual pre-trained Large Language Models (LLMs) are incredibly effective at Question Answering (QA), a core task in Natural Language Understanding, achieving high accuracies…