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Sujay Sanghavi β most-cited papers & profile Β· AI for Code
β authors
Β·
overview
Sujay Sanghavi
16
papers Β·
29
citations
Google Scholar β
Semantic Scholar β
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Most-cited papers
Faster Non-Convex Federated Learning via Global and Local Momentum
2020 Β· 10 citations
Nearly Horizon-Free Offline Reinforcement Learning
2021 Β· 6 citations
DataComp-LM: In search of the next generation of training sets for language models
2024 Β· 3 citations
Latent Variable Representation for Reinforcement Learning
2022 Β· 1 citations
Test-Time Speculation
2026
Entropy Aware Reward Guidance for Diffusion Language Model Alignment
2026
MURPHY: Feedback-Aware GRPO with Retrospective Credit Assignment for Multi-Turn Code Generation
2025
HiSpec: Hierarchical Speculative Decoding for LLMs
2025
InfoPO: On Mutual Information Maximization for Large Language Model Alignment
2025
On the Convergence of Differentially Private Federated Learning on Non-Lipschitz Objectives, and with Normalized Client Updates
2021
When Attention Collapses: How Degenerate Layers in LLMs Enable Smaller, Stronger Models
2024
Pre-training Small Base LMs with Fewer Tokens
2024
Topics
Training Techniques
Efficiency
Model Architecture
Evaluation
cs.LG
cs.AI
Federated Learning
Optimization
Offline RL
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