Jonas Geiping
- Papers
- 34
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Authored papers
34FutureSim: Replaying World Events to Evaluate Adaptive Agents
arXiv 2026
NESSiE: The Necessary Safety Benchmark -- Identifying Errors that should not Exist
arXiv 2026
Multi-Stream LLMs: Unblocking Language Models with Parallel Streams of Thoughts, Inputs and Outputs
arXiv 2026
Teaching Pretrained Language Models to Think Deeper with Retrofitted Recurrence
arXiv 2025
Efficient Parallel Samplers for Recurrent-Depth Models and Their Connection to Diffusion Language Models
arXiv 2025
The Illusion of Diminishing Returns: Measuring Long Horizon Execution in LLMs
arXiv 2025
GPTailor: Large Language Model Pruning Through Layer Cutting and Stitching
arXiv 2025
MedSAMix: A Training-Free Model Merging Approach for Medical Image Segmentation
arXiv 2025
Scaling Open-Ended Reasoning to Predict the Future
arXiv 2025
Can Language Models Falsify? Evaluating Algorithmic Reasoning with Counterexample Creation
arXiv 2025
Great Models Think Alike and this Undermines AI Oversight
arXiv 2025
Capability-Based Scaling Laws for LLM Red-Teaming
arXiv 2025
Answer Matching Outperforms Multiple Choice for Language Model Evaluation
arXiv 2025
Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text
arXiv 2024
Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs
arXiv 2024
Transformers Can Do Arithmetic with the Right Embeddings
arXiv 2024
Measuring Style Similarity in Diffusion Models
arXiv 2024
Coercing LLMs to do and reveal (almost) anything
arXiv 2024
What do we learn from inverting CLIP models?
arXiv 2024
Generating Potent Poisons and Backdoors from Scratch with Guided Diffusion
arXiv 2024
NEFTune: Noisy Embeddings Improve Instruction Finetuning
arXiv 2023
On the Reliability of Watermarks for Large Language Models
arXiv 2023
Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery
hard-prompts-made-easy-gradient-based
Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust
arXiv 2023
Object Recognition as Next Token Prediction
CVPR 2024 1
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
On the Exploitability of Instruction Tuning
on-the-exploitability-of-instruction-tuning
Universal Guidance for Diffusion Models
arXiv 2023
Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise
cold-diffusion-inverting-arbitrary-image
Cramming: Training a Language Model on a Single GPU in One Day
arXiv 2022
Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries
arXiv 2022
Stochastic Training is Not Necessary for Generalization
stochastic-training-is-not-necessary-for-1
Multiframe Motion Coupling for Video Super Resolution
arXiv 2016
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