Update README.md

README.md

@@ -14,11 +14,14 @@ library_name: transformers
 # katanemo/Arch-Router-1.5B
 
 ## Overview
-With the rapid proliferation of large language models (LLM) — each optimized for different strengths, style, or latency/cost profile — routing has become an essential technique to operationalize the use of different LLMs.
+With the rapid proliferation of large language models (LLM)—each optimized for different strengths, style, or latency/cost profile—routing has become an essential technique to operationalize the use of different models. 
 
-Arch-Router is a **preference-based routing model** designed to intelligently select the most appropriate large language model (LLM) for a given prompt by leveraging a structured **domain–action taxonomy**. 
-This framework enables fine-grained control over model selection by aligning user-defined preferences with model capabilities across a wide range of tasks and subject areas - and matches practical definitions of performance in the real world to make routing decisions more transparent and adaptable.
+Existing work on LLM routing typically focuses on learning an optimal policy to route between a limited pool of models, where optimal is measured via well-defined performance benchmarks. This framework, however, is misaligned with real-world scenarios. 
+Benchmark performance does not capture subjective evaluation and testing criteria in the real world. 
 
+Arch-Router is a **preference-based routing model** designed to intelligently guide model selection by matching queries to user-defined domains (e.g., finance and healthcare) and action types (e.g., code generation, image editing, etc.). 
+Experiments on conversational datasets demonstrate that our approach achieves state-of-the-art (SOTA) results in matching queries with human preferences, outperforming top proprietary routing systems. 
+Our preference-aligned approach matches practical definitions of performance in the real world and makes routing decisions more transparent and adaptable.
 
 ### How It Works