8 citations · 11 across the 5 of their papers we have counts for
6 papers
Parallel Metric Skip Lists and Nearest Neighbor Search
Xiangyun Ding, Rohin Garg, Yan Gu +1
The metric skip-list is a data structure designed for efficient nearest and -nearest neighbor search in metric spaces. For many real-world datasets with reasonable distributions…
Coverage, Not Averages: Semantic Stratification for Trustworthy Retrieval Evaluation
Andrew Klearman, Radu Revutchi, Rohin Garg +3
Retrieval quality is the primary bottleneck for accuracy and robustness in retrieval-augmented generation (RAG). Current evaluation relies on heuristically constructed query sets,…
Can Linguistically Related Languages Guide LLM Translation in Low-Resource Settings?
Aishwarya Ramasethu, Niyathi Allu, Rohin Garg +2
Large Language Models (LLMs) have achieved strong performance across many downstream tasks, yet their effectiveness in extremely low-resource machine translation remains limited. S…
Overcoming Mode Collapse with Adaptive Multi Adversarial Training
Karttikeya Mangalam, Rohin Garg
Generative Adversarial Networks (GANs) are a class of generative models used for various applications, but they have been known to suffer from the mode collapse problem, in which s…
Goal-driven Command Recommendations for Analysts
Samarth Aggarwal, Rohin Garg, Abhilasha Sancheti +2
Recent times have seen data analytics software applications become an integral part of the decision-making process of analysts. The users of these software applications generate a…
IITK-RSA at SemEval-2020 Task 5: Detecting Counterfactuals
Anirudh Anil Ojha, Rohin Garg, Shashank Gupta +1
This paper describes our efforts in tackling Task 5 of SemEval-2020. The task involved detecting a class of textual expressions known as counterfactuals and separating them into th…