13 citations · 24 across the 16 of their papers we have counts for
16 papers
PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction
Pirzada Suhail, Nagasai Saketh Naidu, Atanu R Sinha +1
Large language models (LLMs) generate text by auto-regressively sampling the next token. This inherently leads to a many-to-many mapping between prompts and responses, complicating…
Handling Missing Responses under Cluster Dependence with Applications to Language Model Evaluation
Zhenghao Zeng, David Arbour, Avi Feller +3
Human annotations play a crucial role in evaluating the performance of GenAI models. Two common challenges in practice, however, are missing annotations (the response variable of i…
Subjective Behaviors and Preferences in LLM: Language of Browsing
Sai Sundaresan, Harshita Chopra, Atanu R. Sinha +4
A Large Language Model (LLM) offers versatility across domains and tasks, purportedly benefiting users with a wide variety of behaviors and preferences. We question this perception…
Agentic Enterprise: AI-Centric User to User-Centric AI
Arpit Narechania, Alex Endert, Atanu R Sinha
After a very long winter, the Artificial Intelligence (AI) spring is here. Or, so it seems over the last three years. AI has the potential to impact many areas of human life - pers…
Sequential Causal Discovery with Noisy Language Model Priors
Prakhar Verma, David Arbour, Sunav Choudhary +3
Causal discovery from observational data typically assumes access to complete data and availability of perfect domain experts. In practice, data often arrive in batches, are subjec…
Guidance Source Matters: How Guidance from AI, Expert, or a Group of Analysts Impacts Visual Data Preparation and Analysis
Arpit Narechania, Alex Endert, Atanu R Sinha
The progress in generative AI has fueled AI-powered tools like co-pilots and assistants to provision better guidance, particularly during data analysis. However, research on guidan…
Delivery Optimized Discovery in Behavioral User Segmentation under Budget Constraint
Harshita Chopra, Atanu R. Sinha, Sunav Choudhary +5
Users' behavioral footprints online enable firms to discover behavior-based user segments (or, segments) and deliver segment specific messages to users. Following the discovery of…
Fundamental Limits of Throughput and Availability: Applications to prophet inequalities & transaction fee mechanism design
Aadityan Ganesh, Jason Hartline, Atanu R Sinha +1
This paper studies the fundamental limits of availability and throughput for independent and heterogeneous demands of a limited resource. Availability is the probability that the d…
Learning to Infer Unobserved Behaviors: Estimating User's Preference for a Site over Other Sites
Atanu R Sinha, Tanay Anand, Paridhi Maheshwari +2
A site's recommendation system relies on knowledge of its users' preferences to offer relevant recommendations to them. These preferences are for attributes that comprise items and…
DataPilot: Utilizing Quality and Usage Information for Subset Selection during Visual Data Preparation
Arpit Narechania, Fan Du, Atanu R Sinha +6
Selecting relevant data subsets from large, unfamiliar datasets can be difficult. We address this challenge by modeling and visualizing two kinds of auxiliary information: (1) qual…
B2B Advertising: Joint Dynamic Scoring of Account and Users
Atanu R. Sinha, Gautam Choudhary, Mansi Agarwal +3
When a business sells to another business (B2B), the buying business is represented by a group of individuals, termed account, who collectively decide whether to buy. The seller ad…
Personalized Detection of Cognitive Biases in Actions of Users from Their Logs: Anchoring and Recency Biases
Atanu R Sinha, Navita Goyal, Sunny Dhamnani +4
Cognitive biases are mental shortcuts humans use in dealing with information and the environment, and which result in biased actions and behaviors (or, actions), unbeknownst to the…
Surveys without Questions: A Reinforcement Learning Approach
Atanu R Sinha, Deepali Jain, Nikhil Sheoran +2
The 'old world' instrument, survey, remains a tool of choice for firms to obtain ratings of satisfaction and experience that customers realize while interacting online with firms.…
An RNN-Survival Model to Decide Email Send Times
Harvineet Singh, Moumita Sinha, Atanu R. Sinha +2
Email communications are ubiquitous. Firms control send times of emails and thereby the instants at which emails reach recipients (it is assumed email is received instantaneously f…
Uncovering Relations for Marketing Knowledge Representation
Somak Aditya, Atanu Sinha
Online behaviors of consumers and marketers generate massive marketing data, which ever more sophisticated models attempt to turn into insights and aid decisions by marketers. Yet,…
Forecasting Granular Audience Size for Online Advertising
Ritwik Sinha, Dhruv Singal, Pranav Maneriker +4
Orchestration of campaigns for online display advertising requires marketers to forecast audience size at the granularity of specific attributes of web traffic, characterized by th…