Faeze Brahman

PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning

2023 · arXiv (Cornell University)

Procedural planning, which entails decomposing a high-level goal into a sequence of temporally ordered steps, is an important yet intricate task for machines. It involves integrating common-sense knowledge to reason about complex and often contextualized …

STEER: Unified Style Transfer with Expert Reinforcement

2023 · arXiv (Cornell University)

While text style transfer has many applications across natural language processing, the core premise of transferring from a single source style is unrealistic in a real-world setting. In this work, we focus on arbitrary style …

MacGyver: Are Large Language Models Creative Problem Solvers?

2024

Yufei Tian, Abhilasha Ravichander, Lianhui Qin, Ronan Le Bras, Raja Marjieh, Nanyun Peng, Yejin Choi, Thomas Griffiths, Faeze Brahman. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: …

2 OLMo 2 Furious

2024 · arXiv (Cornell University)

We present OLMo 2, the next generation of our fully open language models. OLMo 2 includes a family of dense autoregressive language models at 7B, 13B and 32B scales with fully released artifacts -- model …