Lessons Learned: A Multi-Agent Framework for Code LLMs to Learn and Improve
- Yuanzhe Liu
- Ryan Deng
- et al.
- 2025
- NeurIPS 2025
Conference paper
Publications
843 results for Foundation Models
Forging Time Series with Language: A Large Language Model Approach to Synthetic Data Generation
- 2025
- NeurIPS 2025
Conference paperMESS+: Dynamically Learned Inference-Time LLM Routing in Model Zoos with Service Level Guarantees
- Herbert Woisetschläger
- Ryan Zhang
- et al.
- 2025
- NeurIPS 2025
Conference paperKnow What You Don't Know: Uncertainty Calibration of Process Reward Models
- Young Jin Park
- Kristjan Greenewald
- et al.
- 2025
- NeurIPS 2025
Conference paperDense Associative Memory with Epanechnikov Energy
- Benjamin Hoover
- Zhaoyang Shi
- et al.
- 2025
- NeurIPS 2025
Conference paperFixing It in Post: A Comparative Study of LLM Post-Training Data Quality and Model Performance
- Aladin Djuhera
- Swanand Ravindra Kadhe
- et al.
- 2025
- NeurIPS 2025
Conference paperActivated LoRA: Fine-tuned LLMs for Intrinsics
- Kristjan Greenewald
- Luis Lastras
- et al.
- 2025
- NeurIPS 2025
Conference paperLatent Principle Discovery for Language Model Self-Improvement
- Keshav Ramji
- Tahira Naseem
- et al.
- 2025
- NeurIPS 2025
Conference paperCausal LLM Routing: End-to-End Regret Minimization from Observational Data
- Asterios Tsiourvas
- Wei Sun
- et al.
- 2025
- NeurIPS 2025
Conference paperAutomated Structure Elucidation at Human-Level Accuracy via a Multimodal Multitask Language Model
- Marvin Alberts
- Nina Hartrampf
- et al.
- 2025
- NeurIPS 2025
Workshop paper