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Keerthiram Murugesan

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

36

Venues

15

Active years

2016–2026

Best venue rank

A*

Where they publish

Papers

36 indexed papers, newest first.

YearVenueTitleAuthors
2026ACLContext Attribution with Multi-Armed Bandit Optimization.Deng Pan, Keerthiram Murugesan, Ting Hua, Nuno Moniz, Nitesh V. Chawla
2026ACLZoomR: Memory Efficient Reasoning through Multi-Granularity Key Value Retrieval.David H. Yang, Yuxuan Zhu, Mohammad Mohammadi Amiri, Keerthiram Murugesan, Tejaswini Pedapati, Subhajit Chaudhury, Pin-Yu Chen
2026ACLAgentRouter: A Knowledge-Graph-Guided LLM Router for Collaborative Multi-Agent Question Answering.Zheyuan Zhang, Kaiwen Shi, Zhengqing Yuan, Zehong Wang, Tianyi Ma, Keerthiram Murugesan, Vincent Galassi, Chuxu Zhang, Yanfang Ye
2026ACLOjaKV: Context-Aware Online Low-Rank KV Cache Compression.Yuxuan Zhu, David H. Yang, Mohammad Mohammadi Amiri, Keerthiram Murugesan, Tejaswini Pedapati, Pin-Yu Chen
2026EACLInterpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use.Yiyang Li, Zehong Wang, Zhengqing Yuan, Zheyuan Zhang, Keerthiram Murugesan, Chuxu Zhang, Yanfang Ye
2026EACLNG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering.Kaiwen Shi, Zheyuan Zhang, Zhengqing Yuan, Keerthiram Murugesan, Vincent Galassi, Chuxu Zhang, Yanfang Ye
2025ACLProtecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents.Ivoline C. Ngong, Swanand Ravindra Kadhe, Hao Wang, Keerthiram Murugesan, Justin D. Weisz, Amit Dhurandhar, Karthikeyan Natesan Ramamurthy
2025ACLNGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning.Zheyuan Zhang, Yiyang Li, Nhi Ha Lan Le, Zehong Wang, Tianyi Ma, Vincent Galassi, Keerthiram Murugesan, Nuno Moniz, Werner Geyer, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
2025AIESHighlight All the Phrases: Enhancing LLM Transparency Through Visual Factuality Indicators.Hyo Jin Do, Rachel Ostrand, Werner Geyer, Keerthiram Murugesan, Dennis Wei, Justin D. Weisz
2025COLINGOn the Effects of Fine-tuning Language Models for Text-Based Reinforcement Learning.Maurcio Gruppi, Soham Dan, Keerthiram Murugesan, Subhajit Chaudhury
2025KDDMOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation.Zheyuan Zhang, Zehong Wang, Tianyi Ma, Varun Sameer Taneja, Sofia Nelson, Nhi Ha Lan Le, Keerthiram Murugesan, Mingxuan Ju, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
2025NAACLAre Large Language Models Effective in Clinical Trial Design? A Study on Baseline Feature Generation.Nafis Neehal, Bowen Wang, Shayom Debopadhaya, Corey Curran, Keerthiram Murugesan, Soham Dan, Vibha Anand, Kristin P. Bennett
2025NAACLGranite Guardian: Comprehensive LLM Safeguarding.Inkit Padhi, Manish Nagireddy, Giandomenico Cornacchia, Subhajit Chaudhury, Tejaswini Pedapati, Pierre L. Dognin, Keerthiram Murugesan, Erik Miehling, Martn Santilln Cooper, Kieran Fraser, Giulio Zizzo, Muhammad Zaid Hameed, Mark Purcell, Michael Desmond, Qian Pan, Inge Vejsbjerg, Elizabeth M. Daly, Michael Hind, Werner Geyer, Ambrish Rawat, Kush R. Varshney, Prasanna Sattigeri
2024ACLSTARLING: Self-supervised Training of Text-based Reinforcement Learning Agent with Large Language Models.Shreyas Basavatia, Keerthiram Murugesan, Shivam Ratnakar
2024EACLEXPLORER: Exploration-guided Reasoning for Textual Reinforcement Learning.Kinjal Basu, Keerthiram Murugesan, Subhajit Chaudhury, Murray Campbell, Kartik Talamadupula, Tim Klinger
2024EMNLPTowards Aligning Language Models with Textual Feedback.Sac Abadal Lloret, Shehzaad Dhuliawala, Keerthiram Murugesan, Mrinmaya Sachan
2024ICAPSOn the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS).Vishal Pallagani, Bharath C. Muppasani, Kaushik Roy, Francesco Fabiano, Andrea Loreggia, Keerthiram Murugesan, Biplav Srivastava, Francesca Rossi, Lior Horesh, Amit P. Sheth
2024ICASSPLeveraging Visual Handicaps for Text-Based Reinforcement Learning.Subhajit Chaudhury, Keerthiram Murugesan, Thomas Carta, Kartik Talamadupula, Michiaki Tatsubori
2024ICASSPVariance Reduction Can Improve Trade-Off in Multi-Objective Learning.Heshan Devaka Fernando, Lisha Chen, Songtao Lu, Pin-Yu Chen, Miao Liu, Subhajit Chaudhury, Keerthiram Murugesan, Gaowen Liu, Meng Wang, Tianyi Chen
2024ICMLSF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning.Shuai Zhang, Heshan Devaka Fernando, Miao Liu, Keerthiram Murugesan, Songtao Lu, Pin-Yu Chen, Tianyi Chen, Meng Wang
2024NAACLLanguage Guided Exploration for RL Agents in Text Environments.Hitesh Golchha, Sahil Yerawar, Dhruvesh Patel, Soham Dan, Keerthiram Murugesan
2023ACLLearning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning.Subhajit Chaudhury, Sarathkrishna Swaminathan, Daiki Kimura, Prithviraj Sen, Keerthiram Murugesan, Rosario Uceda-Sosa, Michiaki Tatsubori, Achille Fokoue, Pavan Kapanipathi, Asim Munawar, Alexander Gray
2023ACLMISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types.Keerthiram Murugesan, Sarathkrishna Swaminathan, Soham Dan, Subhajit Chaudhury, R. Chulaka Gunasekara, Maxwell Crouse, Diwakar Mahajan, Ibrahim Abdelaziz, Achille Fokoue, Pavan Kapanipathi, Salim Roukos, Alexander Gray
2023ICLRMitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach.Heshan Devaka Fernando, Han Shen, Miao Liu, Subhajit Chaudhury, Keerthiram Murugesan, Tianyi Chen
2023IJCAIProbabilistic Rule Induction from Event Sequences with Logical Summary Markov Models.Debarun Bhattacharjya, Oktie Hassanzadeh, Ronny Luss, Keerthiram Murugesan
2023IJCAIPlansformer Tool: Demonstrating Generation of Symbolic Plans Using Transformers.Vishal Pallagani, Bharath Muppasani, Biplav Srivastava, Francesca Rossi, Lior Horesh, Keerthiram Murugesan, Andrea Loreggia, Francesco Fabiano, Rony Joseph, Yathin Kethepalli
2022AAAIEye of the Beholder: Improved Relation Generalization for Text-Based Reinforcement Learning Agents.Keerthiram Murugesan, Subhajit Chaudhury, Kartik Talamadupula
2022EMNLPX-FACTOR: A Cross-metric Evaluation of Factual Correctness in Abstractive Summarization.Subhajit Chaudhury, Sarathkrishna Swaminathan, R. Chulaka Gunasekara, Maxwell Crouse, Srinivas Ravishankar, Daiki Kimura, Keerthiram Murugesan, Ramn Fernandez Astudillo, Tahira Naseem, Pavan Kapanipathi, Alexander Gray
2022ICLRCase-based reasoning for better generalization in textual reinforcement learning.Mattia Atzeni, Shehzaad Zuzar Dhuliawala, Keerthiram Murugesan, Mrinmaya Sachan
2022ICLRAuto-Transfer: Learning to Route Transferable Representations.Keerthiram Murugesan, Vijay Sadashivaiah, Ronny Luss, Karthikeyan Shanmugam, Pin-Yu Chen, Amit Dhurandhar
2021AAAIThinking Fast and Slow in AI.Grady Booch, Francesco Fabiano, Lior Horesh, Kiran Kate, Jonathan Lenchner, Nick Linck, Andrea Loreggia, Keerthiram Murugesan, Nicholas Mattei, Francesca Rossi, Biplav Srivastava
2021AAAIText-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines.Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Pushkar Shukla, Sadhana Kumaravel, Gerald Tesauro, Kartik Talamadupula, Mrinmaya Sachan, Murray Campbell
2021ACLEfficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations.Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Kartik Talamadupula, Mrinmaya Sachan, Murray Campbell
2017IJCAISelf-Paced Multitask Learning with Shared Knowledge.Keerthiram Murugesan, Jaime G. Carbonell
2017SDMMulti-Task Multiple Kernel Relationship Learning.Keerthiram Murugesan, Jaime G. Carbonell
2016RECOMBMultitask Matrix Completion for Learning Protein Interactions Across Diseases.Meghana Kshirsagar, Jaime G. Carbonell, Judith Klein-Seetharaman, Keerthiram Murugesan