MLE-STAR: Machine Learning Engineering Agent via Search and Targeted Refinement
Fuente:
arXiv
Saved in:
| Main Authors: | Nam, Jaehyun, Yoon, Jinsung, Chen, Jiefeng, Shin, Jinwoo, Arık, Sercan Ö., Pfister, Tomas |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Search-Adaptor: Embedding Customization for Information Retrieval
by: Yoon, Jinsung, et al.
Published: (2023)
by: Yoon, Jinsung, et al.
Published: (2023)
Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning
by: Han, Sungwon, et al.
Published: (2024)
by: Han, Sungwon, et al.
Published: (2024)
ASPEST: Bridging the Gap Between Active Learning and Selective Prediction
by: Chen, Jiefeng, et al.
Published: (2023)
by: Chen, Jiefeng, et al.
Published: (2023)
DS-STAR: Data Science Agent for Solving Diverse Tasks across Heterogeneous Formats and Open-Ended Queries
by: Nam, Jaehyun, et al.
Published: (2025)
by: Nam, Jaehyun, et al.
Published: (2025)
Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions
by: Yoon, Jinsung, et al.
Published: (2024)
by: Yoon, Jinsung, et al.
Published: (2024)
Learned Feature Importance Scores for Automated Feature Engineering
by: Dong, Yihe, et al.
Published: (2024)
by: Dong, Yihe, et al.
Published: (2024)
Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training
by: Chen, Maximillian, et al.
Published: (2024)
by: Chen, Maximillian, et al.
Published: (2024)
LANISTR: Multimodal Learning from Structured and Unstructured Data
by: Ebrahimi, Sayna, et al.
Published: (2023)
by: Ebrahimi, Sayna, et al.
Published: (2023)
Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG
by: Jin, Bowen, et al.
Published: (2024)
by: Jin, Bowen, et al.
Published: (2024)
Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments
by: Su, Hongjin, et al.
Published: (2025)
by: Su, Hongjin, et al.
Published: (2025)
CoDA: Agentic Systems for Collaborative Data Visualization
by: Chen, Zichen, et al.
Published: (2025)
by: Chen, Zichen, et al.
Published: (2025)
COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised Learning
by: Meng, Chuizheng, et al.
Published: (2023)
by: Meng, Chuizheng, et al.
Published: (2023)
Retrieval Augmented Time Series Forecasting
by: Han, Sungwon, et al.
Published: (2025)
by: Han, Sungwon, et al.
Published: (2025)
Debiasing Online Preference Learning via Preference Feature Preservation
by: Kim, Dongyoung, et al.
Published: (2025)
by: Kim, Dongyoung, et al.
Published: (2025)
CROME: Cross-Modal Adapters for Efficient Multimodal LLM
by: Ebrahimi, Sayna, et al.
Published: (2024)
by: Ebrahimi, Sayna, et al.
Published: (2024)
PaperOrchestra: A Multi-Agent Framework for Automated AI Research Paper Writing
by: Song, Yiwen, et al.
Published: (2026)
by: Song, Yiwen, et al.
Published: (2026)
DynScaling: Efficient Verifier-free Inference Scaling via Dynamic and Integrated Sampling
by: Wang, Fei, et al.
Published: (2025)
by: Wang, Fei, et al.
Published: (2025)
Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models
by: Wang, Fei, et al.
Published: (2024)
by: Wang, Fei, et al.
Published: (2024)
An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents
by: Jin, Bowen, et al.
Published: (2025)
by: Jin, Bowen, et al.
Published: (2025)
MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering
by: Qiang, Rushi, et al.
Published: (2025)
by: Qiang, Rushi, et al.
Published: (2025)
SQL-GEN: Bridging the Dialect Gap for Text-to-SQL Via Synthetic Data And Model Merging
by: Pourreza, Mohammadreza, et al.
Published: (2024)
by: Pourreza, Mohammadreza, et al.
Published: (2024)
AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench
by: Toledo, Edan, et al.
Published: (2025)
by: Toledo, Edan, et al.
Published: (2025)
Data-Efficient Molecular Generation with Hierarchical Textual Inversion
by: Kim, Seojin, et al.
Published: (2024)
by: Kim, Seojin, et al.
Published: (2024)
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting
by: Cao, Defu, et al.
Published: (2023)
by: Cao, Defu, et al.
Published: (2023)
ScholarPeer: A Context-Aware Multi-Agent Framework for Automated Peer Review
by: Goyal, Palash, et al.
Published: (2026)
by: Goyal, Palash, et al.
Published: (2026)
ATLAS: Constraints-Aware Multi-Agent Collaboration for Real-World Travel Planning
by: Choi, Jihye, et al.
Published: (2025)
by: Choi, Jihye, et al.
Published: (2025)
Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning
by: Nam, Jaehyun, et al.
Published: (2024)
by: Nam, Jaehyun, et al.
Published: (2024)
Reasoning as Gradient: Scaling MLE Agents Beyond Tree Search
by: Zhang, Yifei, et al.
Published: (2026)
by: Zhang, Yifei, et al.
Published: (2026)
Self-Refining Language Model Anonymizers via Adversarial Distillation
by: Kim, Kyuyoung, et al.
Published: (2025)
by: Kim, Kyuyoung, et al.
Published: (2025)
SETS: Leveraging Self-Verification and Self-Correction for Improved Test-Time Scaling
by: Chen, Jiefeng, et al.
Published: (2025)
by: Chen, Jiefeng, et al.
Published: (2025)
MLE-Smith: Scaling MLE Tasks with Automated Multi-Agent Pipeline
by: Qiang, Rushi, et al.
Published: (2025)
by: Qiang, Rushi, et al.
Published: (2025)
DocLens : A Tool-Augmented Multi-Agent Framework for Long Visual Document Understanding
by: Zhu, Dawei, et al.
Published: (2025)
by: Zhu, Dawei, et al.
Published: (2025)
Tabular Transfer Learning via Prompting LLMs
by: Nam, Jaehyun, et al.
Published: (2024)
by: Nam, Jaehyun, et al.
Published: (2024)
ReVISE: Learning to Refine at Test-Time via Intrinsic Self-Verification
by: Lee, Hyunseok, et al.
Published: (2025)
by: Lee, Hyunseok, et al.
Published: (2025)
LLM-Based Multi-Agent Blackboard System for Information Discovery in Data Science
by: Salemi, Alireza, et al.
Published: (2025)
by: Salemi, Alireza, et al.
Published: (2025)
Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization
by: Wan, Xingchen, et al.
Published: (2024)
by: Wan, Xingchen, et al.
Published: (2024)
Reasoning-Aware Training for Time Series Forecasting
by: Ahamed, Md Atik, et al.
Published: (2026)
by: Ahamed, Md Atik, et al.
Published: (2026)
LEAF: A Living Benchmark for Event-Augmented Forecasting
by: Tan, Mingtian, et al.
Published: (2026)
by: Tan, Mingtian, et al.
Published: (2026)
Effective Large Language Model Adaptation for Improved Grounding and Citation Generation
by: Ye, Xi, et al.
Published: (2023)
by: Ye, Xi, et al.
Published: (2023)
HEART: Emotionally-Driven Test-Time Scaling of Language Models
by: Pinto, Gabriela, et al.
Published: (2025)
by: Pinto, Gabriela, et al.
Published: (2025)
Similar Items
-
Search-Adaptor: Embedding Customization for Information Retrieval
by: Yoon, Jinsung, et al.
Published: (2023) -
Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning
by: Han, Sungwon, et al.
Published: (2024) -
ASPEST: Bridging the Gap Between Active Learning and Selective Prediction
by: Chen, Jiefeng, et al.
Published: (2023) -
DS-STAR: Data Science Agent for Solving Diverse Tasks across Heterogeneous Formats and Open-Ended Queries
by: Nam, Jaehyun, et al.
Published: (2025) -
Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions
by: Yoon, Jinsung, et al.
Published: (2024)