Added paper link

content.py

@@ -1,13 +1,13 @@
 TITLE = """<h1 align="center" id="space-title">GAIA Leaderboard</h1>"""
 
 INTRODUCTION_TEXT = """
-GAIA is a benchmark which aims at evaluating next-generation LLMs (LLMs with augmented capabilities due to added tooling, efficient prompting, access to search, etc). (See our paper for more details.)
+GAIA is a benchmark which aims at evaluating next-generation LLMs (LLMs with augmented capabilities due to added tooling, efficient prompting, access to search, etc). (See our [paper](https://arxiv.org/abs/2311.12983) for more details.)
 
 ## Data
 GAIA is made of more than 450 non-trivial question with an unambiguous answer, requiring different levels of tooling and autonomy to solve. 
 It is therefore divided in 3 levels, where level 1 should be breakable by very good LLMs, and level 3 indicate a strong jump in model capabilities. Each level is divided into a fully public dev set for validation, and a test set with private answers and metadata. 
 
-GAIA data can be found in this space (https://huggingface.co/datasets/gaia-benchmark/GAIA). Questions are contained in `metadata.jsonl`. Some questions come with an additional file, that can be found in the same folder and whose id is given in the field `file_name`.
+GAIA data can be found in [this space](https://huggingface.co/datasets/gaia-benchmark/GAIA). Questions are contained in `metadata.jsonl`. Some questions come with an additional file, that can be found in the same folder and whose id is given in the field `file_name`.
 
 ## Submissions
 Results can be submitted for both validation and test. Scores are expressed as the percentage of correct answers for a given split.