Sadhika Malladi
17 papers · 2021–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (17) π Renaissance Researcher (5) π Conference Polyglot (3) π§ Keyword Pioneer
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Conference Polyglot
(3)
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Triple Crown
π€
Dynamic Duo
(10)
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Prolific Year
(5)
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Century Club
(17)
π₯
Unstoppable
(5)
Conferences
ICLR (7)
ICML (5)
NIPS (5)
Top co-authors
Keywords
language model fine-tuning
(2)
stochastic differential equation
(2)
neural network optimization
(2)
direct preference optimization
(1)
in-context learning
(1)
visual reasoning
(1)
language model alignment
(1)
reinforcement learning from human feedback
(1)
gradient descent
(1)
ranking accuracy
(1)
learning rate
(1)
generalization bound
(1)
language model
(1)
zeroth-order optimization
(1)
parameter-efficient fine-tuning
(1)
low-rank adaptation
(1)
multimodal large language model
(1)
parameter-efficient tuning
(1)
adaptive gradient method
(1)
scientific visualization
(1)
Papers
Overtrained Language Models Are Harder to Fine-Tune
ICML 2025
Provable unlearning in topic modeling and downstream tasks
ICLR 2025
Progressive distillation induces an implicit curriculum
ICLR 2025
MUSE: Machine Unlearning Six-Way Evaluation for Language Models
ICLR 2025
Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization
ICLR 2025
Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws
ICLR 2025
Metadata Conditioning Accelerates Language Model Pre-training
ICML 2025
CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs
NIPS 2024
Preference Learning Algorithms Do Not Learn Preference Rankings
NIPS 2024
Trainable Transformer in Transformer
ICML 2024
LESS: Selecting Influential Data for Targeted Instruction Tuning
ICML 2024
The Marginal Value of Momentum for Small Learning Rate SGD
ICLR 2024
Fine-Tuning Language Models with Just Forward Passes
NIPS 2023
A Kernel-Based View of Language Model Fine-Tuning
ICML 2023
On the SDEs and Scaling Rules for Adaptive Gradient Algorithms
NIPS 2022
On the Validity of Modeling SGD with Stochastic Differential Equations (SDEs)
NIPS 2021
A Mathematical Exploration of Why Language Models Help Solve Downstream Tasks
ICLR 2021