AClib
aclib.netAClib is an open-source benchmark library designed for the algorithm configuration problem, providing standardized instances and scenarios to facilitate empirical research. It enables researchers to evaluate parameterized algorithms across diverse domains such as SAT, MIP, planning, and machine learning using common performance metrics. Hosted by Freiburg University and the University of British Columbia, it serves as a foundational resource for comparing configurators like SMAC and ParamILS.
LLM mention score The LLM mention score is the total number of mentions of this brand in different LLM chatbots, normalized to the scale from 0 to 100. You can get actual, non-normalized numbers via the LLM Mention API from DataForSEO.
Normalized 0–100 · last 8 weeks
DataForSEO API
Get LLM mention data of any company via DataForSEO API
Get access to the structured data on keyword, brand, and website mentions in LLMs, including metrics like AI search volume, impressions, and mentions count.
How to get LLM mention data →// Fetch AClib mentions POST v3/ai_optimization/llm_mentions/search/live [ { "target": [ { "keyword": "AClib", "search_scope": ["any"] } ], "platform": "chat_gpt", "order_by" : ["ai_search_volume,desc"] } ]
