Publications

804 results for Foundation Models

Evaluation of partitioning algorithms for trustworthy out-of-distribution evaluation of machine learning models in biochemistry
- - Raúl Fernández Díaz
  - Lam Thanh Hoang
  - et al.
- 2025
- VIBE 2025
Enabling Enterprise AI with IBM Spyre
- - Jeffrey Burns
  - Leland Chang
  - et al.
- 2025
- IEDM 2025
Omni-R1: Do You Really Need Audio to Fine-Tune Your Audio LLM?
- - Andrew Rouditchenko
  - Saurabhchand Bhati
  - et al.
- 2025
- ASRU 2025
Causal LLM Routing: End-to-End Regret Minimization from Observational Data
- - Asterios Tsiourvas
  - Wei Sun
  - et al.
- 2025
- NeurIPS 2025
Forging Time Series with Language: A Large Language Model Approach to Synthetic Data Generation
- - Cécile Rousseau
  - Tobia Boschi
  - et al.
- 2025
- NeurIPS 2025
Latent Principle Discovery for Language Model Self-Improvement
- - Keshav Ramji
  - Tahira Naseem
  - et al.
- 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
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
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