# Long-running Conversational Memory on SCM Source: [Long-running Conversational Memory on SCM]() Collection index: [llms.txt]() Data updated: 2026-04-01T07:12:07.247Z Evaluation of conversational memory systems on the SCM dataset, focusing on answer accuracy, retrieval performance, recall, coherence, and execution time efficiency. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Long-running Conversational Memory | | Dataset (including any stated split) | SCM | | Metric | Answer Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 1 of 1 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [Answer Accuracy](): Higher is better; unit: PERCENT. - [Retrieval Accuracy](): Higher is better; unit: PERCENT. - [Recall](): Higher is better; unit: PERCENT. - [Execution Time Reduction (%)](): Higher is better; unit: PERCENT. - [Coherence](): Higher is better; unit: PERCENT. ## Recorded results | Method | Answer Accuracy | Result date | Report paper | | --- | --- | --- | --- | | ILSTMA | 88.4 | Not recorded | 69cca6820636e5bf4afcbb6e | ### ILSTMA Answer Accuracy: 88.4. Result ID: 69ccc49e47f34ce924b60004. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.