no code implementations • 3 Apr 2024 • Abhijit Anand, Venktesh V, Vinay Setty, Avishek Anand
In our extensive experiments on the DL-Hard dataset, we find that a principled query performance based scoring method using base and specialized ranker offers a significant improvement of up to 25% on the passage ranking task and up to 48. 4% on the document ranking task when compared to the baseline performance of using original queries, even outperforming SOTA model.
no code implementations • 25 Mar 2024 • Venktesh V, Abhijit Anand, Avishek Anand, Vinay Setty
This addresses the challenge of verifying real-world numerical claims, which are complex and often lack precise information, not addressed by existing works that mainly focus on synthetic claims.
no code implementations • 19 Feb 2024 • Vinay Setty
In this article, we describe how you can perform end-to-end fact-checking in over 100 languages using Factiverse AI models.
1 code implementation • 12 Feb 2024 • Nolwenn Bernard, Ivica Kostric, Weronika Łajewska, Krisztian Balog, Petra Galuščáková, Vinay Setty, Martin G. Skjæveland
Personal knowledge graphs (PKGs) offer individuals a way to store and consolidate their fragmented personal data in a central place, improving service personalization while maintaining full user control.
no code implementations • 31 Aug 2023 • Abhijit Anand, Venktesh V, Vinay Setty, Avishek Anand
We find that there are two inherent limitations of using LLMs as query re-writers -- concept drift when using only queries as prompts and large inference costs during query processing.
no code implementations • 28 Jun 2023 • Avishek Anand, Venktesh V, Abhijit Anand, Vinay Setty
Querying, conversing, and controlling search and information-seeking interfaces using natural language are fast becoming ubiquitous with the rise and adoption of large-language models (LLM).
no code implementations • 24 Apr 2023 • Vinay Setty
In this paper, we propose use of extreme multi-label classification using Transformer models (XBERT) by clustering KG types using structural and semantic features based on question text.
no code implementations • 3 May 2022 • Zijian Zhang, Vinay Setty, Avishek Anand
We introduce SparcAssist, a general-purpose risk assessment tool for the machine learning models trained for language tasks.
no code implementations • 14 Sep 2021 • Vinay Setty, Krisztian Balog
This paper summarizes our participation in the SMART Task of the ISWC 2020 Challenge.
no code implementations • 27 May 2020 • Bjarte Botnevik, Eirik Sakariassen, Vinay Setty
Misinformation such as fake news has drawn a lot of attention in recent years.
no code implementations • 19 Mar 2019 • Megha Khosla, Vinay Setty, Avishek Anand
However, there is no common ground for systematic comparison of embeddings to understand their behavior for different graphs and tasks.