Publications

FICTITIOUS SYNTHETIC DATA CAN IMPROVE LLM FACTUALITY VIA PREREQUISITE LEARNING
- - Yujian Liu
  - Tommi Jaakkola
  - et al.
- 2025
- ICLR 2025
Conference paper
CAUSAL CONCEPT GRAPH MODELS: BEYOND CAUSAL OPACITY IN DEEP LEARNING
- - Gabriele Dominici
  - Pietro Barbiero
  - et al.
- 2025
- ICLR 2025
Conference paper
COUNTERFACTUAL CONCEPT BOTTLENECK MODELS
- - Gabriele Dominici
  - Pietro Barbiero
  - et al.
- 2025
- ICLR 2025
Conference paper
SAFEDIFFUSER: SAFE PLANNING WITH DIFFUSION PROBABILISTIC MODELS
- - Wei Xiao
  - Tsun-Hsuan Wang
  - et al.
- 2025
- ICLR 2025
Conference paper
CALIBRATING EXPRESSIONS OF CERTAINTY
- - Peiqi Wang
  - Barbara D. Lam
  - et al.
- 2025
- ICLR 2025
Conference paper
Scaling Autonomous Agents via Automatic Reward Modeling And Planning
- - Zhenfang Chen
  - Delin Chen
  - et al.
- 2025
- ICLR 2025
Conference paper
JUSTICE OR PREJUDICE? QUANTIFYING BIASES IN LLM-AS-A-JUDGE
- - Jiayi Ye
  - Yanbo Wang
  - et al.
- 2025
- ICLR 2025
Conference paper
Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning
- - Gang Liu
  - Michael Sun
  - et al.
- 2025
- ICLR 2025
Conference paper
Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems
- - Jie Chen
- 2025
- ICLR 2025
Conference paper
Explain Yourself, Briefly! Self-Explaining Neural Networks with Concise Sufficient Reasons
- - Shahaf Bassan
  - Ron Eliav
  - et al.
- 2025
- ICLR 2025
Conference paper