Brian R. Bartoldson
8 papers · 2023–2026 · 6 venues · across top CS/AI venues
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Achievements
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Conference Polyglot Β· Silver
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Interdisciplinary Bridge Β· Bronze
πΊοΈ
Taxonomy Completionist
(15)
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Grand Slam
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Triple Crown
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Research topics
Keywords
quantization
(1)
active learning
(1)
neural network training
(1)
coreset selection
(1)
self-supervised learning
(1)
data augmentation
(1)
data annotation
(1)
fairness
(1)
adversarial training
(1)
deep clustering
(1)
neural network optimization
(1)
instruction tuning
(1)
safety alignment
(1)
reinforcement learning from human feedback
(1)
algorithmic efficiency
(1)
diffusion model
(1)
scaling law
(1)
discrete diffusion
(1)
pseudo label
(1)
model compression
(1)
Papers
STAR-1: Safer Alignment of Reasoning LLMs with 1K Data
AAAI 2026
ELFS: Label-Free Coreset Selection with Proxy Training Dynamics
ICLR 2025
Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion
NAACL 2025
Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies
ICML 2024
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression
ICML 2024
NEFTune: Noisy Embeddings Improve Instruction Finetuning
ICLR 2024
Transformers Can Do Arithmetic with the Right Embeddings
NeurIPS 2024
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities
JMLR 2023