Papers by Kianté Brantley
Interactive Text Generation (2023.emnlp-main)
Copied to clipboard
Felix Faltings, Michel Galley, Kianté Brantley, Baolin Peng, Weixin Cai, Yizhe Zhang, Jianfeng Gao, Bill Dolan
| Challenge: | Advances in generative modeling have made it possible to automatically generate high-quality texts, code, and images, but they can be unsatisfactory in many respects. |
| Approach: | They propose a task that allows training generation models interactively without the costs of involving real users. |
| Outcome: | The proposed model trains with Imitation Learning without the cost of involving real users and is superior to non-interactive models. |
Active Imitation Learning with Noisy Guidance (2020.acl-main)
Copied to clipboard
| Challenge: | Structured prediction methods learn models to map inputs to complex outputs with internal dependencies. |
| Approach: | They propose an algorithm that mimics an expert's choice at any queried state . they apply LEAQI to three sequence labelling tasks to reduce query costs . |
| Outcome: | The proposed algorithm shows better accuracies over a passive approach. |