Think Smarter, Not Harder: Uncertainty Calibration of Process Reward Models
- Young Jin Park
- Kristjan Greenewald
- et al.
- 2025
- NeurIPS 2025
Publications
784 results for Foundation Models
Causal LLM Routing: End-to-End Regret Minimization from Observational Data
- Asterios Tsiourvas
- Wei Sun
- et al.
- 2025
- NeurIPS 2025
Causally Reliable Concept Bottleneck Models
- Giovanni De Felice
- Arianna Casanova Flores
- et al.
- 2025
- NeurIPS 2025
Dense Associative Memory with Epanechnikov Energy
- Benjamin Hoover
- Zhaoyang Shi
- et al.
- 2025
- NeurIPS 2025
Fixing 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
Latent Principle Discovery for Language Model Self-Improvement
- Keshav Ramji
- Tahira Naseem
- et al.
- 2025
- NeurIPS 2025
Activated LoRA: Fine-tuned LLMs for Intrinsics
- Kristjan Greenewald
- Luis Lastras
- et al.
- 2025
- NeurIPS 2025
Forging Time Series with Language: A Large Language Model Approach to Synthetic Data Generation
- 2025
- NeurIPS 2025
Lessons Learned: A Multi-Agent Framework for Code LLMs to Learn and Improve
- Yuanzhe Liu
- Ryan Deng
- et al.
- 2025
- NeurIPS 2025
MESS+: Dynamically Learned Inference-Time LLM Routing in Model Zoos with Service Level Guarantees
- Herbert Woisetschläger
- Ryan Zhang
- et al.
- 2025
- NeurIPS 2025