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← Authors

Balaraman Ravindran

27 papers · 2008–2026 · 12 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (11) 🌍 Conference Polyglot (11)
🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧬 Topic Evolution πŸ† Keyword Champion πŸ—ƒοΈ Keyword Collector (115) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (25) πŸ”₯ Unstoppable (10) ❓ The Questioner

Conferences

AAAI (5) IJCAI (5) ACL (4) ICLR (3) IJCNLP (3) AACL (1) ACML (1) AISTATS (1) EMNLP (1) L4DC (1) NAACL (1) NIPS (1)

Top co-authors

Mitesh M. Khapra (6) Preksha Nema (4) Balaji Vasan Srinivasan (3) Akash Kumar Mohankumar (3) Krithi Shailya (2) Manan Tomar (2) Akhilesh Kumar Mishra (2) Gokul S Krishnan (2) Daksh Anand (1) Adithya Ramesh (1)

Keywords

attention mechanism (4) reinforcement learning (3) sample efficiency (3) large language model (3) recommendation system (3) demographic bia (2) neural decoder (2) question generation (2) geographic bia (2) bias evaluation (2) multi-task learning (1) relational learning (1) curriculum learning (1) embedding learning (1) policy gradient (1) metric learning (1) text classification (1) response generation (1) ensemble learning (1) dialogue generation (1)

Papers

SafeMIL: Learning Offline Safe Imitation Policy from Non-Preferred Trajectories AAAI 2026 Where Should I Study? Biased Language Models Decide! Evaluating Fairness in LMs for Academic Recommendations IJCNLP 2025 Language Models can Subtly Deceive Without Lying: A Case Study on Strategic Phrasing in Legislation ACL 2025 Where Should I Study? Biased Language Models Decide! Evaluating Fairness in LMs for Academic Recommendations AACL 2025 Physics-Informed Model-Based Reinforcement Learning L4DC 2023 Causal Contextual Bandits with Targeted Interventions ICLR 2022 Evolutionary Approach to Security Games with Signaling IJCAI 2022 On Combining Bags to Better Learn from Label Proportions AISTATS 2022 Relational Boosted Bandits AAAI 2021 An Enhanced Advising Model in Teacher-Student Framework using State Categorization AAAI 2021 Metric Learning for comparison of HMMs using Graph Neural Networks ACML 2021 EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness Against Adversarial Attacks ICLR 2020 ERLP: Ensembles of Reinforcement Learning Policies (Student Abstract) AAAI 2020 Towards Transparent and Explainable Attention Models ACL 2020 On Incorporating Structural Information to improve Dialogue Response Generation ACL 2020 MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning AAAI 2019 Successor Options: An Option Discovery Framework for Reinforcement Learning IJCAI 2019 Let’s Ask Again: Refine Network for Automatic Question Generation IJCNLP 2019 Let’s Ask Again: Refine Network for Automatic Question Generation EMNLP 2019 Learning to Multi-Task by Active Sampling ICLR 2018 Thresholding Bandits with Augmented UCB IJCAI 2017 Diversity driven attention model for query-based abstractive summarization ACL 2017 Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning NAACL 2016 CEIL: A Scalable, Resolution Limit Free Approach for Detecting Communities in Large Networks IJCAI 2015 Extended Discriminative Random Walk: A Hypergraph Approach to Multi-View Multi-Relational Transductive Learning IJCAI 2015 An Autoencoder Approach to Learning Bilingual Word Representations NIPS 2014 Lexical Chains as Document Features IJCNLP 2008