Update README.md

README.md

@@ -13,12 +13,12 @@ task_ids: question-generation
 
 ## Dataset Description
 - **Repository:** [https://github.com/asahi417/lm-question-generation](https://github.com/asahi417/lm-question-generation)
-- **Paper:** [TBA](TBA)
+- **Paper:** [https://arxiv.org/abs/2210.03992](https://arxiv.org/abs/2210.03992)
 - **Point of Contact:** [Asahi Ushio](http://asahiushio.com/)
 
 ### Dataset Summary
 This is a subset of [QG-Bench](https://github.com/asahi417/lm-question-generation/blob/master/QG_BENCH.md#datasets), a unified question generation benchmark proposed in
- ["Generative Language Models for Paragraph-Level Question Generation: A Unified Benchmark and Evaluation, EMNLP 2022 main conference"](paper_link).
+ ["Generative Language Models for Paragraph-Level Question Generation: A Unified Benchmark and Evaluation, EMNLP 2022 main conference"](https://arxiv.org/abs/2210.03992).
 This is [SQuAD](https://rajpurkar.github.io/SQuAD-explorer/) dataset for question generation (QG) task. The split 
 of train/development/test set follows the ["Neural Question Generation"](https://arxiv.org/abs/1705.00106) work and is 
 compatible with the [leader board](https://paperswithcode.com/sota/question-generation-on-squad11).