← Authors

Keerthiram Murugesan

28 papers · 2016–2026 · 11 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (7) 🐝 Cross-Pollinator (12) 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (52) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (9) πŸŒ‰ Interdisciplinary Bridge πŸ‘₯ Mega-Team (22) πŸ† Grand Slam 🧬 Topic Evolution πŸ”₯ Unstoppable (5) πŸ“ˆ Trend Setter ⚑ Prolific Year (6) πŸ’Ž Century Club (26) πŸ—ƒοΈ Keyword Collector (103) ❓ The Questioner

Conferences

ACL (6) EACL (3) ICLR (3) IJCAI (3) NAACL (3) NIPS (3) AAAI (2) EMNLP (2) COLING (1) ICML (1) IJCNLP (1)

Top co-authors

Subhajit Chaudhury (9) Pavan Kapanipathi (6) Mrinmaya Sachan (5) Kartik Talamadupula (5) Mattia Atzeni (4) Murray Campbell (4) Soham Dan (4) Miao Liu (3) Pin-Yu Chen (3) Yanfang Ye (3)

Keywords

reinforcement learning (7) text-based game (6) large language model (4) graph neural network (4) language model (4) commonsense knowledge (3) knowledge graph (3) multi-task learning (3) online learning (2) text-based reinforcement learning (2) neuro-symbolic reasoning (2) graph representation (2) convergence analysis (1) factuality evaluation (1) question answering (1) curriculum learning (1) preference alignment (1) visual representation (1) preference learning (1) reward modeling (1)

Papers

Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use EACL 2026
NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering EACL 2026
Granite Guardian: Comprehensive LLM Safeguarding NAACL 2025
On the Effects of Fine-tuning Language Models for Text-Based Reinforcement Learning COLING 2025
Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents ACL 2025
Are Large Language Models Effective in Clinical Trial Design? A Study on Baseline Feature Generation NAACL 2025
NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning ACL 2025
Towards Aligning Language Models with Textual Feedback EMNLP 2024
STARLING: Self-supervised Training of Text-based Reinforcement Learning Agent with Large Language Models ACL 2024
EXPLORER: Exploration-guided Reasoning for Textual Reinforcement Learning EACL 2024
SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning ICML 2024
Language Guided Exploration for RL Agents in Text Environments NAACL 2024
Plansformer Tool: Demonstrating Generation of Symbolic Plans Using Transformers IJCAI 2023
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach ICLR 2023
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with $\epsilon$-Greedy Exploration NIPS 2023
MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types ACL 2023
Probabilistic Rule Induction from Event Sequences with Logical Summary Markov Models IJCAI 2023
Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning ACL 2023
Eye of the Beholder: Improved Relation Generalization for Text-Based Reinforcement Learning Agents AAAI 2022
X-FACTOR: A Cross-metric Evaluation of Factual Correctness in Abstractive Summarization EMNLP 2022
Case-based reasoning for better generalization in textual reinforcement learning ICLR 2022
Auto-Transfer: Learning to Route Transferable Representations ICLR 2022
Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations ACL 2021
Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations IJCNLP 2021
Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines AAAI 2021
Self-Paced Multitask Learning with Shared Knowledge IJCAI 2017
Active Learning from Peers NIPS 2017
Adaptive Smoothed Online Multi-Task Learning NIPS 2016