OLMo-Detect: A Multi-Stage, Confounder-Controlled Benchmark for Membership Inference on Large Language Models
cs.CL
Submitted: 2026-10-02
Updated: 2026-10-02
Code: https://github.com/LuckyDaydreamer/OLMo-Detect
Terminology
Sources
- SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model
- Llemma: An Open Language Model For Mathematics
- LoRA Learns Less and Forgets Less
- Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling
- Evaluating Large Language Models Trained on Code
- UltraFeedback: Boosting Language Models with Scaled AI Feedback
- Do Membership Inference Attacks Work on Large Language Models?
- Time Travel in LLMs: Tracing Data Contamination in Large Language Models
- The Llama 3 Herd of Models
- OpenThoughts: Data Recipes for Reasoning Models
- Exploring the limits of strong membership inference attacks on large language models
- Measuring Mathematical Problem Solving With the MATH Dataset
- LoRA: Low-Rank Adaptation of Large Language Models
- Tulu 3: Pushing Frontiers in Open Language Model Post-Training
- DataComp-LM: In search of the next generation of training sets for language models
- StarCoder: may the source be with you!
- Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens
- 2 OLMo 2 Furious
- Olmo 3
- GPT-4o System Card
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