4 citations · 4 across the 2 of their papers we have counts for
4 papers
Benchmarking Embedding Geometries and Clustering Algorithms for Unsupervised Patent Claim Classification
Sujith Subramanian, P N Bhargav Teja, Susen Sarkar +1
Prior-art retrieval systems are structurally organized around classification codes, making cross-code discovery difficult. This paper asks if an unsupervised representation trained…
SmartSalesBench: A Resistance-Aware Multi-Turn Benchmark for Evaluating LLM Sales Agents
P N Bhargav Teja, Velpula Lokesh Reddy, Madhu Basumata +2
We present SmartSalesBench, the first multi-turn conversational benchmark explicitly designed to evaluate large language model (LLM) sales agents against psychologically grounded,…
Popularity Estimation and New Bundle Generation using Content and Context based Embeddings
Ashutosh Nayak, Prajwal NJ, Sameeksha Keshav +3
Recommender systems create enormous value for businesses and their consumers. They increase revenue for businesses while improving the consumer experience by recommending relevant…
Comparative assessment of federated and centralized machine learning
Ibrahim Abdul Majeed, Sagar Kaushik, Aniruddha Bardhan +4
Federated Learning (FL) is a privacy preserving machine learning scheme, where training happens with data federated across devices and not leaving them to sustain user privacy. Thi…