25 citations · 30 across the 8 of their papers we have counts for
8 papers
Multilingual Conversational AI for Financial Assistance: Bridging Language Barriers in Indian FinTech
Bharatdeep Hazarika, Arya Suneesh, Prasanna Devadiga +3
India's linguistic diversity presents both opportunities and challenges for fintech platforms. While the country has 31 major languages and over 100 minor ones, only 10\% of the po…
Reasoning-Guided Claim Normalization for Noisy Multilingual Social Media Posts
Manan Sharma, Arya Suneesh, Manish Jain +7
We address claim normalization for multilingual misinformation detection - transforming noisy social media posts into clear, verifiable statements across 20 languages. The key cont…
TIFIN India at SemEval-2025: Harnessing Translation to Overcome Multilingual IR Challenges in Fact-Checked Claim Retrieval
Prasanna Devadiga, Arya Suneesh, Pawan Kumar Rajpoot +2
We address the challenge of retrieving previously fact-checked claims in monolingual and crosslingual settings - a critical task given the global prevalence of disinformation. Our…
Birbal: An efficient 7B instruct-model fine-tuned with curated datasets
Ashvini Kumar Jindal, Pawan Kumar Rajpoot, Ankur Parikh
LLMOps incur significant costs due to hardware requirements, hindering their widespread accessibility. Additionally, a lack of transparency in model training methods and data contr…
Nearest Neighbor Search over Vectorized Lexico-Syntactic Patterns for Relation Extraction from Financial Documents
Pawan Kumar Rajpoot, Ankur Parikh
Relation extraction (RE) has achieved remarkable progress with the help of pre-trained language models. However, existing RE models are usually incapable of handling two situations…
GPT-FinRE: In-context Learning for Financial Relation Extraction using Large Language Models
Pawan Kumar Rajpoot, Ankur Parikh
Relation extraction (RE) is a crucial task in natural language processing (NLP) that aims to identify and classify relationships between entities mentioned in text. In the financia…
Lexical Simplification using multi level and modular approach
Nikita Katyal, Pawan Kumar Rajpoot
Text Simplification is an ongoing problem in Natural Language Processing, solution to which has varied implications. In conjunction with the TSAR-2022 Workshop @EMNLP2022 Lexical S…
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann +122
Data augmentation is an important component in the robustness evaluation of models in natural language processing (NLP) and in enhancing the diversity of the data they are trained…