2 citations · 4 across the 6 of their papers we have counts for
6 papers
A CAP-like Trilemma for Large Language Models: Correctness, Non-bias, and Utility under Semantic Underdetermination
Vinu Ellampallil Venugopal
The CAP theorem states that a distributed system cannot simultaneously guarantee consistency, availability, and partition tolerance under network partition. Inspired by this result…
Enhancing Semantic Document Retrieval- Employing Group Steiner Tree Algorithm with Domain Knowledge Enrichment
Apurva Kulkarni, Chandrashekar Ramanathan, Vinu E Venugopal
Retrieving pertinent documents from various data sources with diverse characteristics poses a significant challenge for Document Retrieval Systems. The complexity of this challenge…
BigText-QA: Question Answering over a Large-Scale Hybrid Knowledge Graph
Jingjing Xu, Maria Biryukov, Martin Theobald +1
Answering complex questions over textual resources remains a challenge, particularly when dealing with nuanced relationships between multiple entities expressed within natural-lang…
TensAIR: Real-Time Training of Neural Networks from Data-streams
Mauro D. L. Tosi, Vinu E. Venugopal, Martin Theobald
Online learning (OL) from data streams is an emerging area of research that encompasses numerous challenges from stream processing, machine learning, and networking. Stream-process…
AIR: A Light-Weight Yet High-Performance Dataflow Engine based on Asynchronous Iterative Routing
Vinu E. Venugopal, Martin Theobald, Samira Chaychi +1
Distributed Stream Processing Systems (DSPSs) are among the currently most emerging topics in data management, with applications ranging from real-time event monitoring to processi…
Difficulty-level Modeling of Ontology-based Factual Questions
Vinu E., P Sreenivasa Kumar
Semantics based knowledge representations such as ontologies are found to be very useful in automatically generating meaningful factual questions. Determining the difficulty level…