Author:
Hofstätter Sebastian,Lipani Aldo,Althammer Sophia,Zlabinger Markus,Hanbury Allan
Publisher
Springer International Publishing
Reference55 articles.
1. Agrawal, A., Batra, D., Parikh, D., Kembhavi, A.: Don’t just assume; look and answer: overcoming priors for visual question answering. In: Proceedings of CVPR (2018)
2. Anand, A., Belilovsky, E., Kastner, K., Larochelle, H., Courville, A.: Blindfold baselines for embodied QA. arXiv preprint arXiv:1811.05013 (2018)
3. Bajaj, P., et al.: MS MARCO: a human generated MAchine Reading COmprehension Dataset. In: Proceedings of NeurIPS (2016)
4. Barrett, M., Kementchedjhieva, Y., Elazar, Y., Elliott, D., Søgaard, A.: Adversarial removal of demographic attributes revisited. In: Proceedings of EMNLP-IJCNLP (2019)
5. Belinkov, Y., Poliak, A., Shieber, S., Van Durme, B., Rush, A.: Don’t take the premise for granted: mitigating artifacts in natural language inference. In: Proceedings of ACL (2019)
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Impact of Position Bias on Language Models in Token Classification;Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing;2024-04-08
2. PARADE: Passage Representation Aggregation forDocument Reranking;ACM Transactions on Information Systems;2023-09-27
3. On Answer Position Bias in Transformers for Question Answering;Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval;2023-07-18
4. Extractive Explanations for Interpretable Text Ranking;ACM Transactions on Information Systems;2023-03-23
5. Dealing with textual noise for robust and effective BERT re-ranking;Information Processing & Management;2023-01