activity
20202025
most citedProTIP: Progressive Tool Retrieval Improves Planning

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2025

Private Federated Learning In Real World Application -- A Case Study

An Ji, Bortik Bandyopadhyay, Congzheng Song +7

This paper presents an implementation of machine learning model training using private federated learning (PFL) on edge devices. We introduce a novel framework that uses PFL to add…

eess.AS2024

Retrieval Augmented Correction of Named Entity Speech Recognition Errors

Ernest Pusateri, Anmol Walia, Anirudh Kashi +6

In recent years, end-to-end automatic speech recognition (ASR) systems have proven themselves remarkably accurate and performant, but these systems still have a significant error r…

cs.CL2024

Applying RLAIF for Code Generation with API-usage in Lightweight LLMs

Sujan Dutta, Sayantan Mahinder, Raviteja Anantha +1

Reinforcement Learning from AI Feedback (RLAIF) has demonstrated significant potential across various domains, including mitigating harm in LLM outputs, enhancing text summarizatio…

cs.IR2023★ 1 cited

ProTIP: Progressive Tool Retrieval Improves Planning

Raviteja Anantha, Bortik Bandyopadhyay, Anirudh Kashi +3

Large language models (LLMs) are increasingly employed for complex multi-step planning tasks, where the tool retrieval (TR) step is crucial for achieving successful outcomes. Two p…

cs.CY2020

Social Media Attributions in the Context of Water Crisis

Rupak Sarkar, Hirak Sarkar, Sayantan Mahinder +1

Attribution of natural disasters/collective misfortune is a widely-studied political science problem. However, such studies are typically survey-centric or rely on a handful of exp…