Aditya Rawal
8 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (32) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (6) π Academic Marathon (6)
π£
Hot Topic Early Bird
π
Cross-Pollinator
(13)
π
Trend Setter
Conferences
EMNLP (2)
ICML (2)
ACL (1)
ICLR (1)
NAACL (1)
NIPS (1)
Top co-authors
Research topics
Keywords
model merging
(2)
instruction following
(2)
large language model
(2)
reinforcement learning
(1)
zero-shot learning
(1)
multi-task learning
(1)
catastrophic forgetting
(1)
network architecture
(1)
curriculum learning
(1)
model calibration
(1)
knowledge distillation
(1)
preference optimization
(1)
incremental learning
(1)
neural architecture search
(1)
adversarial training
(1)
adversarial robustness
(1)
continual learning
(1)
synthetic data generation
(1)
gradient descent
(1)
contrastive learning
(1)
Papers
Sequence-level Large Language Model Training with Contrastive Preference Optimization
NAACL 2025
Split-Merge: Scalable and Memory-Efficient Merging of Expert LLMs
EMNLP 2025
Extreme Miscalibration and the Illusion of Adversarial Robustness
ACL 2024
DEM: Distribution Edited Model for Training with Mixed Data Distributions
EMNLP 2024
Memory Efficient Continual Learning with Transformers
NIPS 2022
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data
ICML 2020
Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions
ICML 2020
Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity
ICLR 2019