Decoding SEC Actions: Enforcement Trends through Analyzing Blockchain litigation using LLM-based Thematic Factor Mapping

21 August 2024

Papers citing "Decoding SEC Actions: Enforcement Trends through Analyzing Blockchain litigation using LLM-based Thematic Factor Mapping"

5 / 5 papers shown

Title
Large Dual Encoders Are Generalizable Retrievers Jianmo Ni Chen Qu Jing Lu Zhuyun Dai Gustavo Hernández Ábrego ... Vincent Zhao Yi Luan Keith B. Hall Ming-Wei Chang Yinfei Yang DML 158 452 0 15 Dec 2021
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey Bonan Min Hayley L Ross Elior Sulem Amir Pouran Ben Veyseh Thien Huu Nguyen Oscar Sainz Eneko Agirre Ilana Heinz Dan Roth LM&MA VLM AI4CE 132 1,074 0 01 Nov 2021
Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models Jianmo Ni Gustavo Hernández Ábrego Noah Constant Ji Ma Keith B. Hall Daniel Cer Yinfei Yang 204 557 0 19 Aug 2021
MPNet: Masked and Permuted Pre-training for Language Understanding Kaitao Song Xu Tan Tao Qin Jianfeng Lu Tie-Yan Liu 102 1,119 0 20 Apr 2020
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers Wenhui Wang Furu Wei Li Dong Hangbo Bao Nan Yang Ming Zhou VLM 139 1,265 0 25 Feb 2020