Publications

820 results for Foundation Models

Lessons Learned: A Multi-Agent Framework for Code LLMs to Learn and Improve
- - Yuanzhe Liu
  - Ryan Deng
  - 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
Activated LoRA: Fine-tuned LLMs for Intrinsics
- - Kristjan Greenewald
  - Luis Lastras
  - et al.
- 2025
- NeurIPS 2025
Causally Reliable Concept Bottleneck Models
- - Giovanni De Felice
  - Arianna Casanova Flores
  - 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
Causal LLM Routing: End-to-End Regret Minimization from Observational Data
- - Asterios Tsiourvas
  - Wei Sun
  - et al.
- 2025
- NeurIPS 2025
Emergent Pose-Invariance in 3D Molecular Representations via Multimodal Learning
- - Eduardo Almeida Soares
  - Victor Yukio Shirasuna
  - et al.
- 2025
- NeurIPS 2025
Toward a Coherent Virtual Cell Model: Probing Biological World-Model Coherence in Transcriptomic Foundation Models
- - Noa Moriel
  - Yishai Shimoni
  - et al.
- 2025
- NeurIPS 2025
Scaling LLM Planning: NL2FLOW for Parametric Problem Generation and Rigorous Evaluation
- - Jung koo Kang
- 2025
- NeurIPS 2025