Olmix: A Framework for Data Mixing Throughout LM Development
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Mayee F., Murray, Tyler, Heineman, David, Jordan, Matt, Hajishirzi, Hannaneh, Ré, Christopher, Soldaini, Luca, Lo, Kyle |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Organize the Web: Constructing Domains Enhances Pre-Training Data Curation
by: Wettig, Alexander, et al.
Published: (2025)
by: Wettig, Alexander, et al.
Published: (2025)
Signal and Noise: A Framework for Reducing Uncertainty in Language Model Evaluation
by: Heineman, David, et al.
Published: (2025)
by: Heineman, David, et al.
Published: (2025)
Aioli: A Unified Optimization Framework for Language Model Data Mixing
by: Chen, Mayee F., et al.
Published: (2024)
by: Chen, Mayee F., et al.
Published: (2024)
olmOCR 2: Unit Test Rewards for Document OCR
by: Poznanski, Jake, et al.
Published: (2025)
by: Poznanski, Jake, et al.
Published: (2025)
Cookbook: A framework for improving LLM generative abilities via programmatic data generating templates
by: Narayan, Avanika, et al.
Published: (2024)
by: Narayan, Avanika, et al.
Published: (2024)
Fluid Language Model Benchmarking
by: Hofmann, Valentin, et al.
Published: (2025)
by: Hofmann, Valentin, et al.
Published: (2025)
Establishing Task Scaling Laws via Compute-Efficient Model Ladders
by: Bhagia, Akshita, et al.
Published: (2024)
by: Bhagia, Akshita, et al.
Published: (2024)
APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
by: Zhao, Bowen, et al.
Published: (2024)
by: Zhao, Bowen, et al.
Published: (2024)
KIWI: A Dataset of Knowledge-Intensive Writing Instructions for Answering Research Questions
by: Xu, Fangyuan, et al.
Published: (2024)
by: Xu, Fangyuan, et al.
Published: (2024)
Automatic Detection of Research Values from Scientific Abstracts Across Computer Science Subfields
by: Jiang, Hang, et al.
Published: (2025)
by: Jiang, Hang, et al.
Published: (2025)
Olmo Hybrid: From Theory to Practice and Back
by: Merrill, William, et al.
Published: (2026)
by: Merrill, William, et al.
Published: (2026)
SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature
by: Wadden, David, et al.
Published: (2024)
by: Wadden, David, et al.
Published: (2024)
ScienceMeter: Tracking Scientific Knowledge Updates in Language Models
by: Wang, Yike, et al.
Published: (2025)
by: Wang, Yike, et al.
Published: (2025)
HREF: Human Response-Guided Evaluation of Instruction Following in Language Models
by: Lyu, Xinxi, et al.
Published: (2024)
by: Lyu, Xinxi, et al.
Published: (2024)
BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models
by: Cao, Qingqing, et al.
Published: (2023)
by: Cao, Qingqing, et al.
Published: (2023)
Mathfish: Evaluating Language Model Math Reasoning via Grounding in Educational Curricula
by: Lucy, Li, et al.
Published: (2024)
by: Lucy, Li, et al.
Published: (2024)
Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning
by: Kim, Joongwon, et al.
Published: (2024)
by: Kim, Joongwon, et al.
Published: (2024)
Train for Truth, Keep the Skills: Binary Retrieval-Augmented Reward Mitigates Hallucinations
by: Chen, Tong, et al.
Published: (2025)
by: Chen, Tong, et al.
Published: (2025)
EvalTree: Profiling Language Model Weaknesses via Hierarchical Capability Trees
by: Zeng, Zhiyuan, et al.
Published: (2025)
by: Zeng, Zhiyuan, et al.
Published: (2025)
Paloma: A Benchmark for Evaluating Language Model Fit
by: Magnusson, Ian, et al.
Published: (2023)
by: Magnusson, Ian, et al.
Published: (2023)
MentorCollab: Selective Large-to-Small Inference-Time Guidance for Efficient Reasoning
by: Wang, Haojin, et al.
Published: (2026)
by: Wang, Haojin, et al.
Published: (2026)
Learning to Detect Language Model Training Data via Active Reconstruction
by: Yin, Junjie Oscar, et al.
Published: (2026)
by: Yin, Junjie Oscar, et al.
Published: (2026)
When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets
by: Weller, Orion, et al.
Published: (2023)
by: Weller, Orion, et al.
Published: (2023)
TurnWise: The Gap between Single- and Multi-turn Language Model Capabilities
by: Graf, Victoria, et al.
Published: (2026)
by: Graf, Victoria, et al.
Published: (2026)
Answer, Assemble, Ace: Understanding How LMs Answer Multiple Choice Questions
by: Wiegreffe, Sarah, et al.
Published: (2024)
by: Wiegreffe, Sarah, et al.
Published: (2024)
Set the Clock: Temporal Alignment of Pretrained Language Models
by: Zhao, Bowen, et al.
Published: (2024)
by: Zhao, Bowen, et al.
Published: (2024)
Infini-gram mini: Exact n-gram Search at the Internet Scale with FM-Index
by: Xu, Hao, et al.
Published: (2025)
by: Xu, Hao, et al.
Published: (2025)
DrawEduMath: Evaluating Vision Language Models with Expert-Annotated Students' Hand-Drawn Math Images
by: Baral, Sami, et al.
Published: (2025)
by: Baral, Sami, et al.
Published: (2025)
Data Engineering for Scaling Language Models to 128K Context
by: Fu, Yao, et al.
Published: (2024)
by: Fu, Yao, et al.
Published: (2024)
Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens
by: Liu, Jiacheng, et al.
Published: (2024)
by: Liu, Jiacheng, et al.
Published: (2024)
olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language Models
by: Poznanski, Jake, et al.
Published: (2025)
by: Poznanski, Jake, et al.
Published: (2025)
Steering off Course: Reliability Challenges in Steering Language Models
by: Da Silva, Patrick Queiroz, et al.
Published: (2025)
by: Da Silva, Patrick Queiroz, et al.
Published: (2025)
ComPO: Community Preferences for Language Model Personalization
by: Kumar, Sachin, et al.
Published: (2024)
by: Kumar, Sachin, et al.
Published: (2024)
Small Reward Models via Backward Inference
by: Wang, Yike, et al.
Published: (2026)
by: Wang, Yike, et al.
Published: (2026)
DataComp-LM: In search of the next generation of training sets for language models
by: Li, Jeffrey, et al.
Published: (2024)
by: Li, Jeffrey, et al.
Published: (2024)
DataDecide: How to Predict Best Pretraining Data with Small Experiments
by: Magnusson, Ian, et al.
Published: (2025)
by: Magnusson, Ian, et al.
Published: (2025)
Improving Minimum Bayes Risk Decoding with Multi-Prompt
by: Heineman, David, et al.
Published: (2024)
by: Heineman, David, et al.
Published: (2024)
FlexOlmo: Open Language Models for Flexible Data Use
by: Shi, Weijia, et al.
Published: (2025)
by: Shi, Weijia, et al.
Published: (2025)
OLMES: A Standard for Language Model Evaluations
by: Gu, Yuling, et al.
Published: (2024)
by: Gu, Yuling, et al.
Published: (2024)
ASTRO: Teaching Language Models to Reason by Reflecting and Backtracking In-Context
by: Kim, Joongwon, et al.
Published: (2025)
by: Kim, Joongwon, et al.
Published: (2025)
Similar Items
-
Organize the Web: Constructing Domains Enhances Pre-Training Data Curation
by: Wettig, Alexander, et al.
Published: (2025) -
Signal and Noise: A Framework for Reducing Uncertainty in Language Model Evaluation
by: Heineman, David, et al.
Published: (2025) -
Aioli: A Unified Optimization Framework for Language Model Data Mixing
by: Chen, Mayee F., et al.
Published: (2024) -
olmOCR 2: Unit Test Rewards for Document OCR
by: Poznanski, Jake, et al.
Published: (2025) -
Cookbook: A framework for improving LLM generative abilities via programmatic data generating templates
by: Narayan, Avanika, et al.
Published: (2024)