Papers by Gautier Izacard
Task-aware Retrieval with Instructions (2023.findings-acl)
Copied to clipboard
Akari Asai, Timo Schick, Patrick Lewis, Xilun Chen, Gautier Izacard, Sebastian Riedel, Hannaneh Hajishirzi, Wen-tau Yih
| Challenge: | Existing models that learn intents from labeled data are complicated and require a vast number of annotated examples to train a model. |
| Approach: | They propose a general-purpose task-aware retrieval system with instructions that can adapt to a new task without any parameter updates. |
| Outcome: | The proposed system outperforms two benchmarks on a set of domains and tasks on X2-Retrieval. |
Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering (2021.eacl-main)
Copied to clipboard
| Challenge: | Existing approaches to extracting answer from text are expensive to train and train. |
| Approach: | They investigate how much models benefit from retrieving text passages . they obtain state-of-the-art results on the Natural Questions and TriviaQA open benchmarks ." |
| Outcome: | The proposed model performs better when retrieving more passages than previously thought . |