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-# Scicode-bench: How good are LMs at science?
+# SciCode: A Research Coding Benchmark Curated by Scientists
+
+# \name: A Research Coding Benchmark Curated by Scientists
+
+**Minyang Tian$^{1,2}$$^*$, Luyu Gao$^{3}$$^*$, Shizhuo Dylan Zhang$^{1}$, Xinan Chen$^{1}$$^\dagger$, Cunwei Fan$^{1}$$^\dagger$, Xuefei Guo$^{1}$$^\dagger$, Roland Haas$^{1}$$^\dagger$, Pan Ji$^{4}$$^\dagger$, Kittithat Krongchon$^{1}$$^\dagger$, Yao Li$^{1}$$^\dagger$, Shengyan Liu$^{1}$$^\dagger$, Di Luo$^{5,6,11}$$^\dagger$, Yutao Ma$^{7}$$^\dagger$, Hao Tong$^{1}$$^\dagger$, Kha Trinh$^{7}$$^\dagger$, Chenyu Tian$^{8}$$^\dagger$, Zihan Wang$^{1}$$^\dagger$, Bohao Wu$^{1}$$^\dagger$, Yanyu Xiong$^{9}$$^\dagger$, Shengzhu Yin$^{1}$$^\dagger$, Minhui Zhu$^{1}$$^\dagger$, Kilian Lieret$^{10}$, Yanxin Lu$^{1}$, Genglin Liu$^{1}$, Yufeng Du$^{1}$, Tianhua Tao$^{1}$, Ofir Press$^{10}$, Jamie Callan$^{3}$, Eliu Huerta$^{1,2,7}$, Hao Peng$^{1}$**
+
+$^{1}$University of Illinois Urbana-Champaign   
+$^{2}$Argonne National Laboratory  
+$^{3}$Carnegie Mellon University  
+$^{4}$University of North Carolina at Chapel Hill  
+$^{5}$Massachusetts Institute of Technology  
+$^{6}$Harvard University  
+$^{7}$University of Chicago  
+$^{8}$University of Texas at Austin  
+$^{9}$Stanford University  
+$^{10}$Princeton University  
+$^{11}$The NSF AI Institute for Artificial Intelligence and Fundamental Interactions  
+
+$^{*}$ Equal contribution lead authors. $^\dagger$ Data curation, alphabetical order.
 
-Scicode-bench uses more than XX handcollected problem sets from various disciplines to evaluate the ability of LMs to solve any scientific challenge.
 
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