Add Wang paper

lichess.bib

@@ -664,6 +664,16 @@ @inproceedings{tijhuis:2023:predicting-chess-rating-single-game
   url           = {https://doi.org/10.1109/CoG57401.2023.10333133},
 }
 
+@misc{wang:2024:explore-reasoning-capability-llms-chess-testbed,
+  title         = {Explore the Reasoning Capability of LLMs in the Chess Testbed},
+  author        = {Shu Wang and Lei Ji and Renxi Wang and Wenxiao Zhao and Haokun Liu and Yifan Hou and Ying Nian Wu},
+  year          = {2024},
+  url           = {https://arxiv.org/abs/2411.06655},
+  eprint        = {2411.06655},
+  archiveprefix = {arXiv},
+  primaryclass  = {cs.CL},
+}
+
 @inproceedings{wieczerzak:2022:dataset-experimental-investigation-chess-position-evaluation-neural-network,
   title         = {Dataset Related Experimental Investigation of Chess Position Evaluation Using a Deep Neural Network},
   author        = {Dawid Wieczerzak and Pawel Czarnul},

lichess.html

@@ -691,6 +691,13 @@
 August 21-24, 2023</em>, 1–8. <span>IEEE</span>, 2023. doi:<a
 href="https://doi.org/10.1109/COG57401.2023.10333133">10.1109/COG57401.2023.10333133</a>.
 </div>
+<div id="ref-wang:2024:explore-reasoning-capability-llms-chess-testbed"
+class="csl-entry" role="listitem">
+Wang, Shu, Lei Ji, Renxi Wang, Wenxiao Zhao, Haokun Liu, Yifan Hou, and
+Ying Nian Wu. <span>“Explore the Reasoning Capability of LLMs in the
+Chess Testbed,”</span> 2024. <a
+href="https://arxiv.org/abs/2411.06655">https://arxiv.org/abs/2411.06655</a>.
+</div>
 <div
 id="ref-wieczerzak:2022:dataset-experimental-investigation-chess-position-evaluation-neural-network"
 class="csl-entry" role="listitem">