Mahdi Namazifar

Attention Biasing and Context Augmentation for Zero-Shot Control of Encoder-Decoder Transformers for Natural Language Generation

2022 · Proceedings of the AAAI Conference on Artificial Intelligence

Controlling neural network-based models for natural language generation (NLG) to realize desirable attributes in the generated outputs has broad applications in numerous areas such as machine translation, document summarization, and dialog systems. Approaches that enable …

Data-Efficient Alignment of Large Language Models with Human Feedback Through Natural Language

2023 · arXiv (Cornell University)

Learning from human feedback is a prominent technique to align the output of large language models (LLMs) with human expectations. Reinforcement learning from human feedback (RLHF) leverages human preference signals that are in the form …