Rahul Madhavan

6 papers · 2023–2025 · 5 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

Jump to papers ↓

🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird

Venues

ACL (2) CoNLL (1) ICML (1) NeurIPS (1) UAI (1)

Top co-authors

Taneesh Gupta (2) Saravan Rajmohan (2) Xuchao Zhang (2) Chetan Bansal (2) Kahini Wadhawan (2) Sravanti Addepalli (1) Prateek Jain (1) Arun Suggala (1) Shivam Shandilya (1) Supriyo Ghosh (1)

Research topics

Artificial Intelligence (6) Core AI (6) Machine Learning (5) Natural Language Processing (5) Generation (4) Learning Types · Machine Learning (3) Optimization & Theory (3) Deep Learning (2) Application Areas (2) Learning Types · Deep Learning (2) Resources & Methods (2) Models (1)

Keywords

causal inference (3) large language model (2) language model (2) text generation (2) knowledge transfer (1) knowledge distillation (1) preference optimization (1) reinforcement learning from human feedback (1) reward hacking (1) bias mitigation (1) structural causal model (1) time reversal (1) unsupervised feedback (1) log perplexity (1) safety filter (1) average treatment effect (1) causal bandit (1) counterfactual augmentation (1) counterfactual generation (1) controlled text generation (1)

Papers

AMPO: Active Multi Preference Optimization for Self-play Preference Selection ICML 2025 CARMO: Dynamic Criteria Generation for Context Aware Reward Modelling ACL 2025 Causal ATE Mitigates Unintended Bias in Controlled Text Generation CoNLL 2024 Time-Reversal Provides Unsupervised Feedback to LLMs NeurIPS 2024 CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation ACL 2023 Learning good interventions in causal graphs via covering UAI 2023