Aditya Rawal - RankMe

32 papers A* 5A 2C 2Journal 13Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DISPO: Enhancing Training Efficiency and Stability in Reinforcement Learning for Large Language Model Mathematical Reasoning. CoRR Batuhan K. Karaman, Aditya Rawal, Suhaila Shakiah, Mohammad Ghavamzadeh, Mingyi Hong, Arijit Biswas, Ruida Zhou
2025	J	`jnl`	Evaluating Long-Context Reasoning in LLM-Based WebAgents. CoRR Andy Chung, Yichi Zhang, Kaixiang Lin, Aditya Rawal, Qiaozi Gao, Joyce Chai
2025	—	`conf`	Sequence-level Large Language Model Training with Contrastive Preference Optimization. NAACL (Findings) Zhili Feng, Dhananjay Ram, Cole Hawkins, Aditya Rawal, Jinman Zhao, Sheng Zha
2025	J	`jnl`	Sequence-level Large Language Model Training with Contrastive Preference Optimization. CoRR Zhili Feng, Dhananjay Ram, Cole Hawkins, Aditya Rawal, Jinman Zhao, Sheng Zha
2025	A*	`conf`	Split-Merge: Scalable and Memory-Efficient Merging of Expert LLMs. EMNLP Sruthi Gorantla, Aditya Rawal, Devamanyu Hazarika, Kaixiang Lin, Mingyi Hong, Mahdi Namazifar
2024	A*	`conf`	DEM: Distribution Edited Model for Training with Mixed Data Distributions. EMNLP Dhananjay Ram, Aditya Rawal, Momchil Hardalov, Nikolaos Pappas, Sheng Zha
2024	J	`jnl`	DEM: Distribution Edited Model for Training with Mixed Data Distributions. CoRR Dhananjay Ram, Aditya Rawal, Momchil Hardalov, Nikolaos Pappas, Sheng Zha
2024	—	`conf`	Extreme Miscalibration and the Illusion of Adversarial Robustness. ACL (1) Vyas Raina, Samson Tan, Volkan Cevher, Aditya Rawal, Sheng Zha, George Karypis
2024	J	`jnl`	Extreme Miscalibration and the Illusion of Adversarial Robustness. CoRR Vyas Raina, Samson Tan, Volkan Cevher, Aditya Rawal, Sheng Zha, George Karypis
2022	—	`conf`	Continual Learning with Transformers for Image Classification. CVPR Workshops Beyza Ermis, Giovanni Zappella, Martin Wistuba, Aditya Rawal, Cédric Archambeau
2022	J	`jnl`	Continual Learning with Transformers for Image Classification. CoRR Beyza Ermis, Giovanni Zappella, Martin Wistuba, Aditya Rawal, Cédric Archambeau
2022	A*	`conf`	Memory Efficient Continual Learning with Transformers. NeurIPS Beyza Ermis, Giovanni Zappella, Martin Wistuba, Aditya Rawal, Cédric Archambeau
2020	J	`jnl`	Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity. CoRR Thomas Miconi, Aditya Rawal, Jeff Clune, Kenneth O. Stanley
2020	—	`ch.`	Discovering Gated Recurrent Neural Network Architectures. Deep Neural Evolution Aditya Rawal, Jason Zhi Liang, Risto Miikkulainen
2020	J	`jnl`	Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions. CoRR Rui Wang, Joel Lehman, Aditya Rawal, Jiale Zhi, Yulun Li, Jeff Clune, Kenneth O. Stanley
2020	A*	`conf`	Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions. ICML Rui Wang, Joel Lehman, Aditya Rawal, Jiale Zhi, Yulun Li, Jeffrey Clune, Kenneth O. Stanley
2020	A*	`conf`	Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data. ICML Felipe Petroski Such, Aditya Rawal, Joel Lehman, Kenneth O. Stanley, Jeffrey Clune
2020	J	`jnl`	Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search. CoRR Aditya Rawal, Joel Lehman, Felipe Petroski Such, Jeff Clune, Kenneth O. Stanley
2019	—	`conf`	Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity. ICLR (Poster) Thomas Miconi, Aditya Rawal, Jeff Clune, Kenneth O. Stanley
2019	J	`jnl`	First-Order Preconditioning via Hypergradient Descent. CoRR Ted Moskovitz, Rui Wang, Janice Lan, Sanyam Kapoor, Thomas Miconi, Jason Yosinski, Aditya Rawal
2019	J	`jnl`	Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data. CoRR Felipe Petroski Such, Aditya Rawal, Joel Lehman, Kenneth O. Stanley, Jeff Clune
2018	J	`jnl`	From Nodes to Networks: Evolving Recurrent Neural Networks. CoRR Aditya Rawal, Risto Miikkulainen
2017	J	`jnl`	Evolving Deep Neural Networks. CoRR Risto Miikkulainen, Jason Zhi Liang, Elliot Meyerson, Aditya Rawal, Daniel Fink, Olivier Francon, Bala Raju, Hormoz Shahrzad, Arshak Navruzyan, Nigel Duffy, Babak Hodjat
2016	A	`conf`	Evolving Deep LSTM-based Memory Networks using an Information Maximization Objective. GECCO Aditya Rawal, Risto Miikkulainen
2014	C	`conf`	Evolution of Communication in Mate Selection. ALIFE Aditya Rawal, Janette Boughman, Risto Miikkulainen
2014	—	`conf`	General intelligence through prolonged evolution of densely connected neural networks. GECCO (Companion) Padmini Rajagopalan, Aditya Rawal, Kay E. Holekamp, Risto Miikkulainen
2013	—	`conf`	Using Both Latent and Supervised Shared Topics for Multitask Learning. ECML/PKDD (2) Ayan Acharya, Aditya Rawal, Raymond J. Mooney, Eduardo R. Hruschka
2012	C	`conf`	Evolution of a Communication Code in Cooperative Tasks. ALIFE Aditya Rawal, Padmini Rajagopalan, Risto Miikkulainen, Kay E. Holekamp
2012	—	`conf`	Multiagent Learning through Neuroevolution. WCCI Risto Miikkulainen, Eliana Feasley, Leif M. Johnson, Igor Karpov, Padmini Rajagopalan, Aditya Rawal, Wesley Tansey
2011	—	`conf`	The role of reward structure, coordination mechanism and net return in the evolution of cooperation. CIG Padmini Rajagopalan, Aditya Rawal, Risto Miikkulainen, Marc A. Wiseman, Kay E. Holekamp
2010	—	`conf`	Constructing competitive and cooperative agent behavior using coevolution. CIG Aditya Rawal, Padmini Rajagopalan, Risto Miikkulainen
2010	A	`conf`	Emergence of competitive and cooperative behavior using coevolution. GECCO Padmini Rajagopalan, Aditya Rawal, Risto Miikkulainen