Publications

32 results for Keerthiram Murugesan

Granite Guardian: Comprehensive LLM Safeguarding
- - Inkit Padhi
  - Manish Nagireddy
  - et al.
- 2025
- NAACL 2025
Are Large Language Models Effective in Clinical Trial Design? A Study on Baseline Feature Generation
- - Nafis Neehal
  - Bowen Wang
  - et al.
- 2025
- NAACL 2025
Sequential uncertainty quantification with contextual tensors for social targeting
- - Tsuyoshi Idé
  - Keerthiram Murugesan
  - et al.
- 2024
- KAIS
Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents
- - Ivoline Ngong
  - Swanand Ravindra Kadhe
  - et al.
- 2024
- NeurIPS 2024
STARLING: Self-supervised Training of Text-based Reinforcement Learning Agent with Large Language Models
- - Shreyas Basavatia
  - Keerthiram Murugesan
  - et al.
- 2024
- ACL 2024
SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning
- - Shuai Zhang
  - Heshan Fernando
  - et al.
- 2024
- ICML 2024
Language Guided Exploration for RL Agents in Text Environments
- - Hitesh Golchha
  - Sahil Yerawar
  - et al.
- 2024
- NAACL 2024
On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS)
- - Vishal Pallagani
  - Bharath Chandra Muppasani
  - et al.
- 2024
- ICAPS 2024
Facilitating Human-LLM Collaboration through Factuality Scores and Source Attributions
- - Hyo Jin Do
  - Rachel Ostrand
  - et al.
- 2024
- CHI 2024
Leveraging Visual Handicaps for Text-Based Reinforcement Learning
- - SUBHAJIT CHAUDHURY
  - Keerthiram Murugesan
  - et al.
- 2024
- ICASSP 2024