add example

assets/data/example.json

@@ -0,0 +1,14 @@
+[
+    {
+        "background": "1. The limitations of existing methods in leveraging nonverbal information for discerning complex semantics in unsupervised scenarios. \n2. The recognition that non-verbal modalities (video and audio) play a critical role in performing unsupervised clustering and can provide useful cues for semantics discovery."
+    },
+    {
+        "background": "1. The need to reduce the memory footprint and computational requirements of Large Language Models (LLMs) for deployment on resource-constrained devices. \n2. The challenge of preserving model performance at sub-4-bit quantization levels, where existing methods significantly degrade the fidelity of model weights."
+    },
+    {
+        "background": "1. The need to trace back and understand which training data influences specific generations in large language models for tasks like risk assessment, model retraining, and improving explainability. \n2. The challenge of scaling existing influence estimation methods to large language models due to their massive size and the computational expense of processing and storing gradients."
+    },
+    {
+        "background": "1. The need for a unifying framework to integrate the multiple dimensions of lexical semantic change detected by historical linguists. \n2. The desire to align theoretical insights from linguistics with the methodological sophistication of natural language processing to better understand social and cultural change."
+    }
+]