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Keerthiram Murugesan

29 papers · 2016–2026 · 10 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+11 more ↓ πŸ—ΊοΈ Taxonomy Completionist (56) 🌍 Conference Polyglot Β· Gold πŸƒ Academic Marathon Β· Half πŸŒ‰ Interdisciplinary Bridge Β· Gold 🐣 Hot Topic Early Bird
🀝 Dynamic Duo (10) πŸ‘₯ Mega-Team Β· Squad 🧬 Topic Evolution πŸ† Grand Slam ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner πŸ’Ž Century Club Β· Bronze 🌈 Renaissance Researcher (6) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (123)

Venues

ACL (8) EACL (3) ICLR (3) IJCAI (3) NAACL (3) NeurIPS (3) AAAI (2) EMNLP (2) COLING (1) ICML (1)

Top co-authors

Subhajit Chaudhury (10) Pavan Kapanipathi (5) Zheyuan Zhang (4) Pin-Yu Chen (4) Chuxu Zhang (4) Soham Dan (4) Yanfang Ye (4) Mrinmaya Sachan (4) Kartik Talamadupula (4) Miao Liu (3)

Research topics

Artificial Intelligence (21) Core AI (18) Machine Learning (17) Deep Learning (9) Learning Types Β· Machine Learning (9) Reinforcement Learning (8) Natural Language Processing (7) Core Methods (6) Applications Β· Reinforcement Learning (4) Applications Β· Natural Language Processing (4) Learning Paradigms (4) Methods (4) Architectures (3) Generation (3) Learning Types Β· Deep Learning (3)

Keywords

reinforcement learning (7) text-based game (6) graph neural network (5) knowledge graph (4) multi-task learning (4) language model (4) large language model (4) convergence analysis (2) agent routing (2) commonsense knowledge (2) question answering (2) online learning (2) neuro-symbolic reasoning (2) text-based reinforcement learning (2) knowledge transfer (1) preference learning (1) reward modeling (1) sequential decision making (1) plan generation (1) stochastic gradient (1)

Papers

AgentRouter: A Knowledge-Graph-Guided LLM Router for Collaborative Multi-Agent Question Answering ACL 2026 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 ZoomR: Memory Efficient Reasoning through Multi-Granularity Key Value Retrieval ACL 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 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 EXPLORER: Exploration-guided Reasoning for Textual Reinforcement Learning EACL 2024 Language Guided Exploration for RL Agents in Text Environments NAACL 2024 SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning ICML 2024 STARLING: Self-supervised Training of Text-based Reinforcement Learning Agent with Large Language Models ACL 2024 Towards Aligning Language Models with Textual Feedback EMNLP 2024 Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning ACL 2023 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 On the Convergence and Sample Complexity Analysis of Deep Q-Networks with Ξ΅-Greedy Exploration NeurIPS 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 Auto-Transfer: Learning to Route Transferable Representations ICLR 2022 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 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 Active Learning from Peers NeurIPS 2017 Self-Paced Multitask Learning with Shared Knowledge IJCAI 2017 Adaptive Smoothed Online Multi-Task Learning NeurIPS 2016