Learning from Litigation: Graphs and LLMs for Retrieval and Reasoning in eDiscovery

29 May 2024

Papers citing "Learning from Litigation: Graphs and LLMs for Retrieval and Reasoning in eDiscovery"

7 / 7 papers shown

Title
Legal Prompt Engineering for Multilingual Legal Judgement Prediction Dietrich Trautmann Alina Petrova Frank Schilder ELM AILaw 67 78 0 05 Dec 2022
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 404 20,114 0 23 Oct 2019
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter Victor Sanh Lysandre Debut Julien Chaumond Thomas Wolf 218 7,498 0 02 Oct 2019
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 459 20,124 0 30 Oct 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 477 15,218 0 07 Jun 2017
Modeling Relational Data with Graph Convolutional Networks Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling GNN 183 4,812 0 17 Mar 2017
Embedding Entities and Relations for Learning and Inference in Knowledge Bases Bishan Yang Wen-tau Yih Xiaodong He Jianfeng Gao Li Deng NAI 93 3,192 0 20 Dec 2014