Publications

49 results at ICLR 2024

Hessian Reparametrization for Coarse-grained Energy Minimization
- - Nima Dehmamy
  - Csaba Both
  - et al.
- 2024
- ICLR 2024
Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models?
- - Yu-Lin Tsai
  - Chia-yi Hsu
  - et al.
- 2024
- ICLR 2024
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
- - Ming Jin
  - Shiyu Wang
  - et al.
- 2024
- ICLR 2024
Curiosity-driven Red-teaming for Large Language Models
- - Zhang-wei Hong
  - Idan Shenfeld
  - et al.
- 2024
- ICLR 2024
Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain
- - Marcus Min
  - Robin (Yangruibo) Ding
  - et al.
- 2024
- ICLR 2024
A Probabilistic Framework for Modular Continual Learning
- - Lazar Valkov
  - Akash Srivastava
  - et al.
- 2024
- ICLR 2024
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
- - Akari Asai
  - Zeqiu Wu
  - et al.
- 2024
- ICLR 2024
Topological Data Analysis on Noisy Quantum Computers
- - Ismail Akhalwaya
  - Shashanka Ubaru
  - et al.
- 2024
- ICLR 2024
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
Unraveling the Key Components of OOD Generalization via Diversification
- - Harold Benoit
  - Liangze Jiang
  - et al.
- 2024
- ICLR 2024