Tool profile

MozerWang/Loong

dying

[EMNLP 2024 (Oral)] Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA

large-language-modelslong-contextlong-context-modelingmulti-document-ragquestion-answeringragretrieval-augmented-generation

Velocity score

0.00/ 10

[STARS]

152

[FORKS]

[CONTRIBUTORS]

[LAST_COMMIT]

5mo ago

Score breakdown

282/ 1000

rag · MozerWang/Loong

Velocity50%

Adoption30%

Maintenance15%

Community5%

[CODE_GROWTH]

180

[INSTALL_VEL]

497

[ACTIVITY]

123

[COMMUNITY_SIGNAL]

495

Terminal score: 0–1000 raw, weighted across 4 dimensions. Public score: 0–10 normalized (shown in the 30-day stars chart above).