
CoLLaM - Comprehensive Chinese Legal Benchmark
The dataset for CoLLaM consists of 13,650 questions carefully designed to cover the breadth of legal cognitive abilities outlined in the LCAT. The questions span 23 tasks relevant to legal …
To accurately evaluate the ability of large lan-guage models in the legal domain, we construct CoLLaM. CoLLaM focuses on practical legal appli-cations under the Chinese legal system, …
Sharom | A Wheel of Time Wiki | Fandom
The Sharom was a floating white sphere located above the university of Collam Daan in V'saine, in the Age of Legends. The spherical building soared high above the university's silver and …
CoLLaM/README.md at main · CSHaitao/CoLLaM · GitHub
The dataset for CoLLaM consists of 13,650 questions carefully designed to cover the breadth of legal cognitive abilities outlined in the LCAT. The questions span 23 tasks relevant to legal …
CoLLaM: A Comprehensive Benchmark for Evaluating Large …
Feb 16, 2024 · Applying existing LLMs to legal systems without careful evaluation of their potentials and limitations could lead to significant risks in legal practice.Therefore, to facilitate …
[2310.19488] CoLLM: Integrating Collaborative Embeddings into …
Oct 30, 2023 · In pursuit of superior recommendations for both cold and warm start scenarios, we introduce CoLLM, an innovative LLMRec methodology that seamlessly incorporates …
Collam Daan | A Wheel of Time Wiki | Fandom
Collam Daan was a university located in the city of V'saine, in the Age of Legends. The university was constructed of silver and blue domes. Along with the Sharom, a massive white sphere …
Collam Law LLP – Excellence. Expertise. Enthuthiasm
Collam Law Advocates LLP is a premier law firm navigating global legal frontiers from Nairobi, Kenya. To be a distinguished legal powerhouse offering innovative, client-centric solutions that …
GitHub - zyang1580/CoLLM: The implementation for the work …
We introduce CoLLM, a novel method that effectively integrates collaborative information into LLMs by harnessing the capability of external traditional models to capture the information.
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