Micah Goldblum
- Papers
- 32
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Authored papers
32Vista4D: Video Reshooting with 4D Point Clouds
arXiv 2026
Closing the Train-Test Gap in World Models for Gradient-Based Planning
arXiv 2025
Teaching Pretrained Language Models to Think Deeper with Retrofitted Recurrence
arXiv 2025
Zebra-CoT: A Dataset for Interleaved Vision Language Reasoning
arXiv 2025
Gemstones: A Model Suite for Multi-Faceted Scaling Laws
arXiv 2025
LiveBench: A Challenging, Contamination-Limited LLM Benchmark
arXiv 2024
Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text
arXiv 2024
Refusal Tokens: A Simple Way to Calibrate Refusals in Large Language Models
arXiv 2024
Generating Potent Poisons and Backdoors from Scratch with Guided Diffusion
arXiv 2024
Style Outweighs Substance: Failure Modes of LLM Judges in Alignment Benchmarking
arXiv 2024
Measuring Style Similarity in Diffusion Models
arXiv 2024
Compute Better Spent: Replacing Dense Layers with Structured Matrices
arXiv 2024
Large Language Models Must Be Taught to Know What They Don't Know
arXiv 2024
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks
arXiv 2024
NEFTune: Noisy Embeddings Improve Instruction Finetuning
arXiv 2023
On the Reliability of Watermarks for Large Language Models
arXiv 2023
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks
NeurIPS 2023 11
Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery
hard-prompts-made-easy-gradient-based
The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning
arXiv 2023
Non-Vacuous Generalization Bounds for Large Language Models
arXiv 2023
Universal Guidance for Diffusion Models
arXiv 2023
When Do Neural Nets Outperform Boosted Trees on Tabular Data?
when-do-neural-nets-outperform-boosted-trees
Understanding and Mitigating Copying in Diffusion Models
understanding-and-mitigating-copying-in
Bring Your Own Data! Self-Supervised Evaluation for Large Language Models
arXiv 2023
Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise
cold-diffusion-inverting-arbitrary-image
Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations
plug-in-inversion-model-agnostic-inversion
What do Vision Transformers Learn? A Visual Exploration
arXiv 2022
Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries
arXiv 2022
Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition
NeurIPS 2023 11
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
saint-improved-neural-networks-for-tabular-1
Stochastic Training is Not Necessary for Generalization
stochastic-training-is-not-necessary-for-1
Datasets for Studying Generalization from Easy to Hard Examples
arXiv 2021
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