Papers

Papers by year released in reversed chronological order.

2023

2023

  1. ICLR
    NEFTune: Noisy Embeddings Improve Instruction Finetuning
    Neel Jain, Ping-yeh Chiang, Yuxin Wen, and 10 more authors
    International Conference on Learning Representations, 2024
    PDF Code
  2. arXiv
    Baseline Defenses for Adversarial Attacks Against Aligned Language Models
    Neel Jain, Avi Schwarzschild, Yuxin Wen, and 7 more authors
    arXiv preprint arXiv:2309.00614, 2023
    PDF
  3. arXiv
    Bring Your Own Data! Self-Supervised Evaluation for Large Language Models
    Neel Jain, Khalid Saifullah, Yuxin Wen, and 6 more authors
    arXiv preprint arXiv:2306.13651, 2023
    PDF Code
  4. NeurIPS
    Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery
    Yuxin Wen, Neel Jain, John Kirchenbauer, and 3 more authors
    Neural Information Processing Systems, 2023
    PDF Code Demo

2022

2022

  1. How to Do a Vocab Swap? A Study of Embedding Replacement for Pre-trained Transformers
    Neel Jain, John Kirchenbauer, Jonas Geiping, and 1 more author
    Preprint, 2022
    PDF

2020

2020

  1. Springer
    Multi-color forcing in graphs
    Chassidy Bozeman, Pamela E Harris, Neel Jain, and 2 more authors
    Graphs and Combinatorics, 2020
    PDF