Hessian Reparametrization for Coarse-grained Energy Minimization
- Nima Dehmamy
- Csaba Both
- et al.
- 2024
- ICLR 2024
Publications
46 results at ICLR 2024
Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain
- Marcus Min
- Robin (Yangruibo) Ding
- et al.
- 2024
- ICLR 2024
Curiosity-driven Red-teaming for Large Language Models
- Zhang-wei Hong
- Idan Shenfeld
- et al.
- 2024
- ICLR 2024
ADVERSARIAL ATTACKS ON FAIRNESS OF GRAPH NEURAL NETWORKS
- Binchi Zhang
- Yushun Dong
- et al.
- 2024
- ICLR 2024
PILOT: AN O(1/K)-CONVERGENT APPROACH FOR POLICY EVALUATION WITH NONLINEAR FUNCTION APPROXIMATION
- Zhuqing Liu
- Xin Zhang
- et al.
- 2024
- ICLR 2024
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
- Ming Jin
- Shiyu Wang
- et al.
- 2024
- ICLR 2024
NEURAL ACTIVE LEARNING BEYOND BANDITS
- Yikun Ban
- Ishika Agarwal
- 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
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
- Akari Asai
- Zeqiu Wu
- et al.
- 2024
- ICLR 2024