Keerthiram Murugesan

According to our database1, Keerthiram Murugesan authored at least 42 papers between 2016 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
To Transfer or Not to Transfer: Suppressing Concepts from Source Representations.
Trans. Mach. Learn. Res., 2024

CTBench: A Comprehensive Benchmark for Evaluating Language Model Capabilities in Clinical Trial Design.
CoRR, 2024

Facilitating Human-LLM Collaboration through Factuality Scores and Source Attributions.
CoRR, 2024

On the Effects of Fine-tuning Language Models for Text-Based Reinforcement Learning.
CoRR, 2024

Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations.
CoRR, 2024

Language Guided Exploration for RL Agents in Text Environments.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Variance Reduction Can Improve Trade-Off in Multi-Objective Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024

Leveraging Visual Handicaps for Text-Based Reinforcement Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024

On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS).
Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling, 2024

Towards Aligning Language Models with Textual Feedback.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

EXPLORER: Exploration-guided Reasoning for Textual Reinforcement Learning.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

STARLING: Self-supervised Training of Text-based Reinforcement Learning Agent with Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Understanding the Capabilities of Large Language Models for Automated Planning.
CoRR, 2023

Fast and Slow Planning.
CoRR, 2023

On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Plansformer Tool: Demonstrating Generation of Symbolic Plans Using Transformers.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Probabilistic Rule Induction from Event Sequences with Logical Summary Markov Models.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Value-based Fast and Slow AI Nudging.
Proceedings of the Workshop on Ethics and Trust in Human-AI Collaboration: Socio-Technical Approaches (ETHAICS 2023) co-located with 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023) Macao, 2023

MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Plansformer: Generating Symbolic Plans using Transformers.
CoRR, 2022

Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic Approach.
CoRR, 2022

Targeted Advertising on Social Networks Using Online Variational Tensor Regression.
CoRR, 2022

Auto-Transfer: Learning to Route Transferrable Representations.
CoRR, 2022

Auto-Transfer: Learning to Route Transferable Representations.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Case-based reasoning for better generalization in textual reinforcement learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

X-FACTOR: A Cross-metric Evaluation of Factual Correctness in Abstractive Summarization.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Eye of the Beholder: Improved Relation Generalization for Text-Based Reinforcement Learning Agents.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Case-based Reasoning for Better Generalization in Text-Adventure Games.
CoRR, 2021

Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Epistemic Planning in a Fast and Slow Setting.
Proceedings of the Thinking Fast and Slow and Other Cognitive Theories in AI, 2021

Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Thinking Fast and Slow in AI.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Enhancing Text-based Reinforcement Learning Agents with Commonsense Knowledge.
CoRR, 2020

2017
Multitask Matrix Completion for Learning Protein Interactions Across Diseases.
J. Comput. Biol., 2017

Co-Clustering for Multitask Learning.
CoRR, 2017

Multi-Task Multiple Kernel Relationship Learning.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Active Learning from Peers.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Self-Paced Multitask Learning with Shared Knowledge.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
Adaptive Smoothed Online Multi-Task Learning.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016


  Loading...