Vaishnav Tadiparthi

5 papers · 2024–2026 · 4 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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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (15)

Venues

CVPR (2) EMNLP (1) ICML (1) NeurIPS (1)

Top co-authors

Hossein Nourkhiz Mahjoub (3) Ehsan Moradi Pari (3) Behdad Chalaki (3) Kwonjoon Lee (3) Tianlong Chen (2) Shuyang Shi (1) Yanyong Zhang (1) Huaizhi Qu (1) Yue Guo (1) Katia P. Sycara (1)

Research topics

Artificial Intelligence (4) Reinforcement Learning (4) Core AI (4) Methods (4) Deep Learning (2) Learning Types · Deep Learning (2) Computer Vision (1) Machine Learning (1) Analysis (1) Learning Types · Machine Learning (1) Models (1) Optimization & Theory (1)

Keywords

reinforcement learning (2) large language model (2) policy optimization (1) policy learning (1) visual reasoning (1) language grounding (1) reinforcement learning from human feedback (1) mutual information (1) human feedback (1) language model (1) reward model (1) vision-language model (1) zero-shot generalization (1) multimodal large language model (1) hallucination mitigation (1) intrinsic reward (1) dynamics model (1) human-agent communication (1) multimodal reasoning (1) ad hoc teamwork (1)

Papers

MonoVLM: Monocular 3D Visual Grounding with Vision Language Models CVPR 2026 Understanding the Role of Hallucination in Reinforcement Post-Training of Multimodal Reasoning Models CVPR 2026 R3DM: Enabling Role Discovery and Diversity Through Dynamics Models in Multi-agent Reinforcement Learning ICML 2025 Language Grounded Multi-agent Reinforcement Learning with Human-interpretable Communication NeurIPS 2024 Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models EMNLP 2024