Granite Guardian: Comprehensive LLM Safeguarding
- 2025
- NAACL 2025
Publications
32 results for Keerthiram Murugesan
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
- 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
Variance Reduction Can Improve Trade-Off in Multi-Objective Learning
- Heshan Fernando
- Lisha Chen
- et al.
- 2024
- ICASSP 2024