Publications

40 results for David D. Cox

Activated LoRA: Fine-tuned LLMs for Intrinsics
- - Kristjan Greenewald
  - Luis Lastras
  - et al.
- 2025
- NeurIPS 2025
Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search
- - Maohao Shen
  - Guangtao Zeng
  - et al.
- 2025
- ICML 2025
SELF-MOE: TOWARDS COMPOSITIONAL LARGE LANGUAGE MODELS WITH SELF-SPECIALIZED EXPERTS
- - Junmo Kang
  - Leonid Karlinsky
  - et al.
- 2025
- ICLR 2025
Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts
- - Junmo Kang
  - Leonid Karlinsky
  - et al.
- 2025
- ICLR 2025
Neural correlates of visual object recognition in rats
- - Juliana Y. Rhee
  - César Echavarría
  - et al.
- 2025
- Cell Reports
Trans-LoRA: towards data-free Transferable Parameter Efficient Finetuning
- - Runqian Wang
  - Soumya Ghosh
  - et al.
- 2024
- NeurIPS 2024
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks
- - Ibrahim Abdelaziz
  - Kinjal Basu
  - et al.
- 2024
- EMNLP 2024
Self-Specialization: Uncovering Latent Expertise within Large Language Models
- - Junmo Kang
  - Hongyin Luo
  - et al.
- 2024
- ACL 2024
Scaling Granite Code Models to 128K Context
- - Matthew Stallone
  - Vaibhav Saxena
  - et al.
- 2024
- arXiv
Granite code models: A family of open foundation models for code intelligence
- - Mayank Mishra
  - Matthew Stallone
  - et al.
- 2024
- arXiv