Add evaluation results for Ling-3.0-flash

Add model-card results for SWE-Bench Pro, SWE-Bench Multilingual, AIME 2026, HMMT February 2026, and HLE.

.eval_results/aime_2026.yaml

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+- dataset:
+    id: MathArena/aime_2026
+    task_id: MathArena/aime_2026
+  value: 93.2
+  source:
+    url: https://huggingface.co/inclusionAI/Ling-3.0-flash
+    name: Model Card

.eval_results/hle.yaml

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+- dataset:
+    id: cais/hle
+    task_id: hle
+  value: 22.7
+  source:
+    url: https://huggingface.co/inclusionAI/Ling-3.0-flash
+    name: Model Card

.eval_results/hmmt_feb_2026.yaml

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+- dataset:
+    id: MathArena/hmmt_feb_2026
+    task_id: MathArena/hmmt_feb_2026
+  value: 87.0
+  source:
+    url: https://huggingface.co/inclusionAI/Ling-3.0-flash
+    name: Model Card

.eval_results/swe-bench_multilingual.yaml

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+- dataset:
+    id: SWE-bench/SWE-bench_Multilingual
+    task_id: swe_bench_multilingual_%_resolved
+  value: 72.4
+  source:
+    url: https://huggingface.co/inclusionAI/Ling-3.0-flash
+    name: Model Card
+  notes: OpenHands harness with tailored prompts; thinking mode enabled

.eval_results/swe-bench_pro.yaml

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+- dataset:
+    id: ScaleAI/SWE-bench_Pro
+    task_id: SWE_Bench_Pro
+  value: 56.6
+  source:
+    url: https://huggingface.co/inclusionAI/Ling-3.0-flash
+    name: Model Card
+  notes: OpenHands harness with tailored prompts; thinking mode enabled