# Multi-document Multi-entity Question Answering on Loong 200K-250K Tokens Source: [Multi-document Multi-entity Question Answering on Loong 200K-250K Tokens]() Collection index: [llms.txt]() Data updated: 2026-03-13T08:53:20.513Z Evaluation of model performance on the Loong dataset subset constrained to 200K-250K tokens for Multi-document Multi-entity Question Answering, reporting detailed scores across Spotlight Locating, Comparison, Clustering, Chain of Reason, and Overall components. 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 | Multi-document Multi-entity Question Answering | | Dataset (including any stated split) | Loong 200K-250K Tokens | | Metric | Spotlight Locating Avg Score | | Unit | SCALAR | | Direction | Higher is better | | Results loaded | 5 of 5 | | 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 - [Spotlight Locating Avg Score](): Higher is better; unit: SCALAR. - [Spotlight Locating Perfect Rate](): Higher is better; unit: PERCENT. - [Comparison Avg Score](): Higher is better; unit: SCALAR. - [Comparison Perfect Rate](): Higher is better; unit: PERCENT. - [Clustering Avg Score](): Higher is better; unit: SCALAR. - [Clustering Perfect Rate](): Higher is better; unit: PERCENT. - [Chain of Reason Avg Score](): Higher is better; unit: SCALAR. - [Chain of Reason Perfect Rate](): Higher is better; unit: PERCENT. - [Overall Avg Score](): Higher is better; unit: SCALAR. - [Overall Perfect Rate](): Higher is better; unit: PERCENT. ## Recorded results | Method | Spotlight Locating Avg Score | Result date | Report paper | | --- | --- | --- | --- | | DocSage | 72.86 | Not recorded | 69b39a210636e5bf4afbcb2c | | StructRAG | 58.01 | Not recorded | 69b39a210636e5bf4afbcb2c | | GPT-4o + RAG | 53.21 | Not recorded | 69b39a210636e5bf4afbcb2c | | GPT-4o | 37.53 | Not recorded | 69b39a210636e5bf4afbcb2c | | GraphRAG | 17.85 | Not recorded | 69b39a210636e5bf4afbcb2c | ### DocSage Spotlight Locating Avg Score: 72.86. Result ID: 69b3d07047f34ce9249e0672. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Method":"DocSage (Ours)"}. This record does not assert independent reproduction. ### StructRAG Spotlight Locating Avg Score: 58.01. Result ID: 69b3d07047f34ce9249e0671. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Method":"StructRAG"}. This record does not assert independent reproduction. ### GPT-4o + RAG Spotlight Locating Avg Score: 53.21. Result ID: 69b3d07047f34ce9249e066f. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Method":"GPT-4o + RAG"}. This record does not assert independent reproduction. ### GPT-4o Spotlight Locating Avg Score: 37.53. Result ID: 69b3d07047f34ce9249e066e. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Method":"GPT-4o"}. This record does not assert independent reproduction. ### GraphRAG Spotlight Locating Avg Score: 17.85. Result ID: 69b3d07047f34ce9249e0670. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Method":"GraphRAG"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.