1 citations · 2 across the 6 of their papers we have counts for
7 papers
Towards Emotion Consistency Analysis of Large Language Models in Emotional Conversational Contexts
Sneha Oram, Ojaswita Bhushan, Pushpak Bhattacharyya +2
In this work, we conduct an analysis to examine the consistency of Large Language Models (LLMs) with respect to their own generated responses in an emotionally-driven conversationa…
HalluDetect: Detecting, Mitigating, and Benchmarking Hallucinations in Conversational Systems in the Legal Domain
Spandan Anaokar, Shrey Ganatra, Harshvivek Kashid +6
Large Language Models (LLMs) are widely used in industry but remain prone to hallucinations, limiting their reliability in critical applications. This work addresses hallucination…
DRIVE: Disfluency-Rich Synthetic Dialog Data Generation Framework for Intelligent Vehicle Environments
Anshul Chavda, M Jagadeesh, Chintalapalli Raja Kullayappa +3
In-car conversational AI is becoming increasingly critical as autonomous vehicles and smart assistants gain widespread adoption. Yet, existing datasets fail to capture the spontane…
Consumer Grievance Redressal through Large Language Models
Shrey Ganatra, Swapnil Bhattacharyya, Harshvivek Kashid +6
Access to consumer grievance redressal in India is often hindered by procedural complexity, legal jargon, and jurisdictional challenges. To address this, we present $\textbf{Grahak…
PRiME: Pragmatic Reasoning In MEntal health
Sneha Oram, Pushpak Bhattacharyya, Tejomay Kishor Padole +1
In this work, the task and domain interaction of reasoning and mental health are investigated. As large language models (LLMs) present exceptional text understanding and fluent tex…
RoundTripOCR: A Data Generation Technique for Enhancing Post-OCR Error Correction in Low-Resource Devanagari Languages
Harshvivek Kashid, Pushpak Bhattacharyya
Optical Character Recognition (OCR) technology has revolutionized the digitization of printed text, enabling efficient data extraction and analysis across various domains. Just lik…
Timing Matters: Enhancing User Experience through Temporal Prediction in Smart Homes
Shrey Ganatra, Spandan Anaokar, Pushpak Bhattacharyya
The proliferation of IoT devices generates vast interaction data, offering insights into user behaviour. While prior work predicts what actions users perform, the timing of these a…