1 citations · 2 across the 7 of their papers we have counts for
8 papers
I'll Keep an Ear Out: Teaching AudioLLMs Proactive Audio Assistance
Amit Kumar Singh Yadav, Ritvik Shrivastava, Xuan Zhang +4
Audio large language models (AudioLLMs) operate reactively, responding only when queried. We introduce proactive audio assistance, where an AudioLLM monitors an audio stream and au…
Plan, Watch, Recover: A Benchmark and Architectures for Proactive Procedural Assistance
Kaustav Kundu, Ritvik Shrivastava, Maxim Arap +14
Proactive multimodal assistants must decide when guidance is needed and what to say, while tracking progress through extended procedures and helping users recover when they depart…
LLM-Based Insight Extraction for Contact Center Analytics and Cost-Efficient Deployment
Varsha Embar, Ritvik Shrivastava, Vinay Damodaran +3
Large Language Models have transformed the Contact Center industry, manifesting in enhanced self-service tools, streamlined administrative processes, and augmented agent productivi…
"Laughing at you or with you": The Role of Sarcasm in Shaping the Disagreement Space
Debanjan Ghosh, Ritvik Shrivastava, Smaranda Muresan
Detecting arguments in online interactions is useful to understand how conflicts arise and get resolved. Users often use figurative language, such as sarcasm, either as persuasive…
Topic Lifecycle on Social Networks: Analyzing the Effects of Semantic Continuity and Social Communities
Kuntal Dey, Saroj Kaushik, Kritika Garg +1
Topic lifecycle analysis on Twitter, a branch of study that investigates Twitter topics from their birth through lifecycle to death, has gained immense mainstream research populari…
Topical Stance Detection for Twitter: A Two-Phase LSTM Model Using Attention
Kuntal Dey, Ritvik Shrivastava, Saroj Kaushik
The topical stance detection problem addresses detecting the stance of the text content with respect to a given topic: whether the sentiment of the given text content is in FAVOR o…
EmTaggeR: A Word Embedding Based Novel Method for Hashtag Recommendation on Twitter
Kuntal Dey, Ritvik Shrivastava, Saroj Kaushik +1
The hashtag recommendation problem addresses recommending (suggesting) one or more hashtags to explicitly tag a post made on a given social network platform, based upon the content…
A Big Data Analysis Framework Using Apache Spark and Deep Learning
Anand Gupta, Hardeo Thakur, Ritvik Shrivastava +2
With the spreading prevalence of Big Data, many advances have recently been made in this field. Frameworks such as Apache Hadoop and Apache Spark have gained a lot of traction over…