Enhancing Decision Making Through the Integration of Large Language Models and Operations Research Optimization
- Segev Wasserkrug
- Leonard Boussioux
- et al.
- 2025
- AAAI 2025
Publications
Token Highlighter: Inspecting and Mitigating Jailbreak Prompts for Large Language Models
- Xiaomeng Xu
- Pin-Yu Chen
- et al.
- 2025
- AAAI 2025
Structured Document Generation for Industrial Equipment
- Karol Lynch
- Fabio Lorenzi
- et al.
- 2025
- AAAI 2025
Interventional Causal Discovery in a Mixture of DAGs
- Burak Varici
- Dmitriy Katz-Rogozhnikov
- et al.
- 2024
- NeurIPS 2024
Distributional Preference Alignment of LLMs via Optimal Transport
- Igor Melnyk
- Youssef Mroueh
- et al.
- 2024
- NeurIPS 2024
Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking
- Gabriel Rioux
- Apoorva Nitsure
- et al.
- 2024
- NeurIPS 2024
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series
- Vijay E
- Arindam Jati
- et al.
- 2024
- NeurIPS 2024
Graph-Transformer-based Surrogate Model for Accelerated Converter Circuit Topology Design
- Shaoze Fan
- Haoshu Lu
- et al.
- 2024
- DAC 2024
How do Categorical Duplicates Affect ML? A New Benchmark and Empirical Analyses
- Vraj Shah
- Thomas Parashos
- et al.
- 2024
- VLDB 2024
What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks
- Irene Ko
- Pin-Yu Chen
- et al.
- 2024
- ICML 2024