Publications

863 results for Foundation Models

Design Principles for Generative AI Applications
- - Justin Weisz
  - Jessica He
  - et al.
- 2024
- CHI 2024
Conference paper
Facilitating Human-LLM Collaboration through Factuality Scores and Source Attributions
- - Hyo Jin Do
  - Rachel Ostrand
  - et al.
- 2024
- CHI 2024
Workshop paper
Granite code models: A family of open foundation models for code intelligence
- - Mayank Mishra
  - Matthew Stallone
  - et al.
- 2024
- arXiv
Paper
Large Language Models are Efficient Learners of Noise-Robust Speech Recognition
- - Yuchen Hu
  - Chen Chen
  - et al.
- 2024
- ICLR 2024
Conference paper
Reasoning of Large Language Models over Knowledge Graphs with Super-Relations
- - Song Wang
  - Lin Junhong
  - et al.
- 2024
- ICLR 2024
Conference paper
Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!
- - Xiangyu Qi
  - Yi Zeng
  - et al.
- 2024
- ICLR 2024
Conference paper
An Investigation of Representation and Allocation Harms in Contrastive Learning
- - Subha Maity
  - Mayank Agarwal
  - et al.
- 2024
- ICLR 2024
Conference paper
Fusing Models with Complementary Expertise
- - Hongyi Wang
  - Felipe Maia Polo
  - et al.
- 2024
- ICLR 2024
Conference paper
Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain
- - Marcus Min
  - Robin (Yangruibo) Ding
  - et al.
- 2024
- ICLR 2024
Conference paper
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition
- - Chen Chen
  - Ruizhe Li
  - et al.
- 2024
- ICLR 2024
Conference paper