Update README.md

README.md

@@ -36,7 +36,7 @@ Beyond agent tasks, Ling-2.6-flash also delivers strong performance across **gen
 > + **<font style="color:rgb(38, 38, 38);">PinchBench</font>**<font style="color:rgb(38, 38, 38);">: Comparative scores are retrieved directly from the official PinchBench leaderboard (as of April 20, 2026), adhering to their evaluation modes (potentially Reasoning Mode). </font>
 > + **<font style="color:rgb(38, 38, 38);">Claw-Eval</font>**<font style="color:rgb(38, 38, 38);">: Comparative scores are sourced from the official Claw-Eval leaderboard (version dated 2026-03-25), adhering to their evaluation modes (potentially Reasoning Mode). Official scores for GPT-OSS-120B and GPT-5.4-mini are currently unavailable and have been omitted.</font>
 > + **<font style="color:rgb(38, 38, 38);">TAU2-Bench</font>**<font style="color:rgb(38, 38, 38);">: Evaluations are conducted using official v1.0.0 code and datasets. Following the GLM-5 evaluation protocol, we applied minor prompt adjustments in the Retail and Telecom domains to ensure users express requests clearly and to prevent premature session termination. Additionally, GPT-5.2 was utilized as the User Agent across all evaluated domains.</font>
-> + **<font style="color:rgb(38, 38, 38);">IFBench</font>**<font style="color:rgb(38, 38, 38);">: Scores for GPT-OSS-120B (low) and GPT-5.4-mini (Non-Reasoning) are sourced from the AA(Artificial Analysis) Leaderboard. All other model performance data are based on internal evaluation results.</font>
+> + **<font style="color:rgb(38, 38, 38);">IFBench</font>**<font style="color:rgb(38, 38, 38);">: Scores for GPT-OSS-120B (low) and GPT-5.4-mini (Non-Reasoning) are sourced from the AA (Artificial Analysis) Leaderboard. All other model performance data are based on internal evaluation results.</font>
 >
 
 ### Architecture