25 citations · 30 across the 6 of their papers we have counts for
9 papers
Evidence Before Sampling: Interpretable Implicit Negative Candidate Discovery for Recommendation
Shreya Rajpal, Sonia Sharma, Swapnil Parekh +4
Recommender systems learn from observed user-item interactions, but explicit negative feedback is often unavailable. Since deep learning models require negative signals for trainin…
Screen Before You Serve: Simulation for Production Customer Experience AI Agents at 140M Scale
Edesio Alcoba, Kevin Rossell, Aman Gupta +13
Customer experience (CX) agents use tools and large language models to address customer requests and guide conversational interactions with an organization's products. Improving th…
From Gradient-Boosted Trees to Deep Recommenders: Practical Lessons from Migrating a Production Customer Support Recommender
Sonia Sharma, Jeyendran Balakrishnan, Shreya Rajpal +3
Product catalogs in fast-moving service businesses are shifting from static, independently priced SKUs toward dynamically bundled, discount-coupled offerings--a shift that strains…
Spatial Reasoning via Modality Switching Between Language and Symbolic Representations
Shreya Rajpal, Tanawan Premsri, Parisa Kordjamshidi
Human reasoning is inherently multimodal: when problems become difficult, we rarely think in words alone. We often externalize our reasoning by sketching diagrams or drawing grids…
SATURN: Symbolic Spatial Reasoning for Multi-Perspective Grounding
Danial Kamali, Tanawan Premsri, Shreya Rajpal +3
Vision-Language Models (VLMs) remain unreliable when spatial reasoning requires composing relations whose meanings depend on frames of reference. Existing tool-augmented spatial re…
LExT: Towards Evaluating Trustworthiness of Natural Language Explanations
Krithi Shailya, Shreya Rajpal, Gokul S Krishnan +1
As Large Language Models (LLMs) become increasingly integrated into high-stakes domains, there have been several approaches proposed toward generating natural language explanations…
BERTologyNavigator: Advanced Question Answering with BERT-based Semantics
Shreya Rajpal, Ricardo Usbeck
The development and integration of knowledge graphs and language models has significance in artificial intelligence and natural language processing. In this study, we introduce the…
Learning Type-Aware Embeddings for Fashion Compatibility
Mariya I. Vasileva, Bryan A. Plummer, Krishna Dusad +3
Outfits in online fashion data are composed of items of many different types (e.g. top, bottom, shoes) that share some stylistic relationship with one another. A representation for…
Octopus: A Framework for Cost-Quality-Time Optimization in Crowdsourcing
Karan Goel, Shreya Rajpal, Mausam
We present Octopus, an AI agent to jointly balance three conflicting task objectives on a micro-crowdsourcing marketplace - the quality of work, total cost incurred, and time to co…