Baidu: ERNIE 4.5 21B A3B ThinkingModel25/100 via “structured-data-extraction-from-unstructured-text”
ERNIE-4.5-21B-A3B-Thinking is Baidu's upgraded lightweight MoE model, refined to boost reasoning depth and quality for top-tier performance in logical puzzles, math, science, coding, text generation, and expert-level academic benchmarks.
Unique: Uses reasoning chains to disambiguate entities and infer implicit relationships before generating structured output, enabling higher-quality extraction than pattern-matching approaches. A3B branching allows exploration of multiple entity interpretations before selecting most likely one.
vs others: Produces more accurate structured extraction than regex or rule-based systems for complex, ambiguous text; however, less specialized than dedicated NER/RE models and may require more context for optimal results