Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents
- Ivoline Ngong
- Swanand Ravindra Kadhe
- et al.
- 2024
- NeurIPS 2024
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30 results for Keerthiram Murugesan
Facilitating Human-LLM Collaboration through Factuality Scores and Source Attributions
- Hyo Jin Do
- Rachel Ostrand
- et al.
- 2024
- CHI 2024
Plan-SOFAI: A Neuro-Symbolic Planning Architecture
- Francesco Fabiano
- Vishal Pallagani
- et al.
- 2024
- AAAI 2024
A Hybrid Neuro-Symbolic approach for Text-Based Games using Inductive Logic Programming
- Kinjal Basu
- Keerthiram Murugesan
- et al.
- 2022
- AAAI 2022
Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations
- Keerthiram Murugesan
- Mattia Atzeni
- et al.
- 2021
- ACL-IJCNLP 2021
STARLING: Self-supervised Training of Text-based Reinforcement Learning Agent with Large Language Models
- Shreyas Basavatia
- Keerthiram Murugesan
- et al.
- 2024
- ACL 2024
Harnessing Large Language Models for Planning: A Lab on Strategies for Success and Mitigation of Pitfalls
- Vishal Pallagani
- Keerthiram Murugesan
- et al.
- 2024
- AAAI 2024
MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types
- Keerthiram Murugesan
- Sarathkrishna Swaminathan
- et al.
- 2023
- ACL 2023
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
Language Guided Exploration for RL Agents in Text Environments
- Hitesh Golchha
- Sahil Yerawar
- et al.
- 2024
- NAACL 2024