Publications

Interpolating Item and User Fairness in Multi-Sided Recommendations
- - Qinyi Chen
  - Jason Cheuk Nam Liang
  - et al.
- 2024
- NeurIPS 2024
Multi-Scale Representation Learning for Protein Fitness Prediction
- - Zuobai Zhang
  - Pascal Notin
  - et al.
- 2024
- NeurIPS 2024
Limits of Transformer Language Models on Learning to Compose Algorithms
- - Jonathan Thomm
  - Aleksandar Terzic
  - et al.
- 2024
- NeurIPS 2024
NeuralFuse: Learning to Recover the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes
- - Hao-lun Sun
  - Lei Hsiung
  - et al.
- 2024
- NeurIPS 2024
Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models
- - Yuchen Hu
  - Chen Chen
  - et al.
- 2024
- NeurIPS 2024
Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes
- - Xiaomeng Xu
  - Pin-Yu Chen
  - et al.
- 2024
- NeurIPS 2024
Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models
- - Chia-yi Hsu
  - Yu-Lin Tsai
  - et al.
- 2024
- NeurIPS 2024
Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models
- - Shengyun Peng
  - Pin-Yu Chen
  - et al.
- 2024
- NeurIPS 2024
Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations
- - Nima Dehmamy
  - Csaba Both
  - et al.
- 2024
- NeurIPS 2024
Trans-LoRA: towards data-free Transferable Parameter Efficient Finetuning
- - Runqian Wang
  - Soumya Ghosh
  - et al.
- 2024
- NeurIPS 2024