11 citations · 19 across the 11 of their papers we have counts for
12 papers
Spatial Audio Question Answering and Reasoning on Dynamic Source Movements
Arvind Krishna Sridhar, Yinyi Guo, Erik Visser
Spatial audio understanding aims to enable machines to interpret complex auditory scenes, particularly when sound sources move over time. In this work, we study Spatial Audio Quest…
Event-Grounded Question Answering over Long Audio via Structured Retrieval
Kartik Hegde, Arvind Krishna Sridhar, Naveen Vakada +2
Answering natural-language questions over multi-hour audio requires reliable event recognition, temporal grounding, and efficient retrieval. We present LA-RAG (Long Audio Retrieval…
Spatial Audio Motion Understanding and Reasoning
Arvind Krishna Sridhar, Yinyi Guo, Erik Visser
Spatial audio reasoning enables machines to interpret auditory scenes by understanding events and their spatial attributes. In this work, we focus on spatial audio understanding wi…
Comprehensive Audio Query Handling System with Integrated Expert Models and Contextual Understanding
Vakada Naveen, Arvind Krishna Sridhar, Yinyi Guo +1
This paper presents a comprehensive chatbot system designed to handle a wide range of audio-related queries by integrating multiple specialized audio processing models. The propose…
Enhancing Temporal Understanding in Audio Question Answering for Large Audio Language Models
Arvind Krishna Sridhar, Yinyi Guo, Erik Visser
The Audio Question Answering (AQA) task includes audio event classification, audio captioning, and open-ended reasoning. Recently, AQA has garnered attention due to the advent of L…
The Troubling Emergence of Hallucination in Large Language Models -- An Extensive Definition, Quantification, and Prescriptive Remediations
Vipula Rawte, Swagata Chakraborty, Agnibh Pathak +5
The recent advancements in Large Language Models (LLMs) have garnered widespread acclaim for their remarkable emerging capabilities. However, the issue of hallucination has paralle…
Parameter Efficient Audio Captioning With Faithful Guidance Using Audio-text Shared Latent Representation
Arvind Krishna Sridhar, Yinyi Guo, Erik Visser +1
There has been significant research on developing pretrained transformer architectures for multimodal-to-text generation tasks. Albeit performance improvements, such models are fre…
Detecting False Alarms and Misses in Audio Captions
Rehana Mahfuz, Yinyi Guo, Arvind Krishna Sridhar +1
Metrics to evaluate audio captions simply provide a score without much explanation regarding what may be wrong in case the score is low. Manual human intervention is needed to find…
Improved Beam Search for Hallucination Mitigation in Abstractive Summarization
Arvind Krishna Sridhar, Erik Visser
Advancement in large pretrained language models has significantly improved their performance for conditional language generation tasks including summarization albeit with hallucina…
Activity report analysis with automatic single or multispan answer extraction
Ravi Choudhary, Arvind Krishna Sridhar, Erik Visser
In the era of loT (Internet of Things) we are surrounded by a plethora of Al enabled devices that can transcribe images, video, audio, and sensors signals into text descriptions. W…
HypoGen: Hyperbole Generation with Commonsense and Counterfactual Knowledge
Yufei Tian, Arvind krishna Sridhar, Nanyun Peng
A hyperbole is an intentional and creative exaggeration not to be taken literally. Despite its ubiquity in daily life, the computational explorations of hyperboles are scarce. In t…
Deterministic Dispersion of Mobile Robots in Dynamic Rings
Ankush Agarwalla, John Augustine, William K. Moses +2
In this work, we study the problem of dispersion of mobile robots on dynamic rings. The problem of dispersion of robots on an node graph, introduced by Augustine and Moses…