add

README.md

@@ -43,7 +43,4 @@ If you encounter problem on the space, don't hesitate to restart it to remove th
 You'll find 
 - the main table' columns names and properties in `src/display/utils.py`
 - the logic to read all results and request files, then convert them in dataframe lines, in `src/leaderboard/read_evals.py`, and `src/populate.py`
-- the logic to allow or filter submissions in `src/submission/submit.py` and `src/submission/check_validity.py`
-
-
-The Crossword task requires inferring correct words from given clues and filling them into a grid. A key challenge lies in satisfying the constraint of shared letter intersections between horizontal and vertical words. We collected 150 Crossword samples published in 2024 from <a href="https://www.latimes.com" target="_blank"> Los Angeles Times</a> and <a href="https://www.vulture.com" target="_blank"> Vulture</a> in three sizes: \(5 \times 5\), $10\times10$, and $15\times15$, with 50 ones for each size.$n^2 \times n^2$ 
+- the logic to allow or filter submissions in `src/submission/submit.py` and `src/submission/check_validity.py`

src/about.py

@@ -93,6 +93,12 @@ Make sure you have followed the above steps first.
 If everything is done, check you can launch the EleutherAIHarness on your model locally, using the above command without modifications (you can add `--limit` to limit the number of examples per task).
 """
 
-CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
+CITATION_BUTTON_LABEL = "BibTeX Citation"
 CITATION_BUTTON_TEXT = r"""
+@article{chen2025lr,
+  title={LR $$\{$$\}$\^{}$\{$2$\}$ $ Bench: Evaluating Long-chain Reflective Reasoning Capabilities of Large Language Models via Constraint Satisfaction Problems},
+  author={Chen, Jianghao and Wei, Zhenlin and Ren, Zhenjiang and Li, Ziyong and Zhang, Jiajun},
+  journal={arXiv preprint arXiv:2502.17848},
+  year={2025}
+}
 """