Keerthiram Murugesan
30 papers · 2016–2026 · 11 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (12) 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) 🏃 Academic Marathon (9) 🌈 Renaissance Researcher (7)
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Conference Polyglot
(11)
🏃
Academic Marathon
(9)
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👥
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(22)
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(5)
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(26)
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The Questioner
Conferences
ACL (8)
EACL (3)
ICLR (3)
IJCAI (3)
NAACL (3)
NIPS (3)
AAAI (2)
EMNLP (2)
COLING (1)
ICML (1)
IJCNLP (1)
Top co-authors
Keywords
reinforcement learning
(7)
text-based game
(6)
graph neural network
(5)
large language model
(4)
language model
(4)
knowledge graph
(4)
commonsense knowledge
(3)
multi-task learning
(3)
online learning
(2)
question answering
(2)
agent routing
(2)
text-based reinforcement learning
(2)
neuro-symbolic reasoning
(2)
graph representation
(2)
convergence analysis
(1)
factuality evaluation
(1)
curriculum learning
(1)
preference alignment
(1)
visual representation
(1)
preference learning
(1)
Papers
ZoomR: Memory Efficient Reasoning through Multi-Granularity Key Value Retrieval
ACL 2026
Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use
EACL 2026
AgentRouter: A Knowledge-Graph-Guided LLM Router for Collaborative Multi-Agent Question Answering
ACL 2026
NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering
EACL 2026
Are Large Language Models Effective in Clinical Trial Design? A Study on Baseline Feature Generation
NAACL 2025
Granite Guardian: Comprehensive LLM Safeguarding
NAACL 2025
NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning
ACL 2025
Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents
ACL 2025
On the Effects of Fine-tuning Language Models for Text-Based Reinforcement Learning
COLING 2025
STARLING: Self-supervised Training of Text-based Reinforcement Learning Agent with Large Language Models
ACL 2024
SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning
ICML 2024
EXPLORER: Exploration-guided Reasoning for Textual Reinforcement Learning
EACL 2024
Towards Aligning Language Models with Textual Feedback
EMNLP 2024
Language Guided Exploration for RL Agents in Text Environments
NAACL 2024
MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types
ACL 2023
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach
ICLR 2023
Plansformer Tool: Demonstrating Generation of Symbolic Plans Using Transformers
IJCAI 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
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with $\epsilon$-Greedy Exploration
NIPS 2023
Case-based reasoning for better generalization in textual reinforcement learning
ICLR 2022
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
Auto-Transfer: Learning to Route Transferable Representations
ICLR 2022
Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations
IJCNLP 2021
Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations
ACL 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