Scaling Hidden Markov Language Models

9 November 2020

Papers citing "Scaling Hidden Markov Language Models"

10 / 10 papers shown

Title
Investigating the Impact of Model Complexity in Large Language Models Jing Luo Huiyuan Wang Weiran Huang 34 0 0 01 Oct 2024
Information Transfer Rate in BCIs: Towards Tightly Integrated Symbiosis Suayb S. Arslan Pawan Sinha 16 2 0 01 Jan 2023
Learning Dependencies of Discrete Speech Representations with Neural Hidden Markov Models Sung-Lin Yeh Hao Tang SSL BDL 22 1 0 29 Oct 2022
Scaling Up Probabilistic Circuits by Latent Variable Distillation Anji Liu Honghua Zhang Guy Van den Broeck TPM 17 24 0 10 Oct 2022
Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs Songlin Yang Wei Liu Kewei Tu 13 8 0 01 May 2022
Low-Rank Constraints for Fast Inference in Structured Models Justin T. Chiu Yuntian Deng Alexander M. Rush BDL 32 13 0 08 Jan 2022
Scaling Structured Inference with Randomization Yao Fu John P. Cunningham Mirella Lapata BDL 32 2 0 07 Dec 2021
Sequence-to-Sequence Learning with Latent Neural Grammars Yoon Kim 33 40 0 02 Sep 2021
Why Do Pretrained Language Models Help in Downstream Tasks? An Analysis of Head and Prompt Tuning Colin Wei Sang Michael Xie Tengyu Ma 24 96 0 17 Jun 2021
PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols Songlin Yang Yanpeng Zhao Kewei Tu 23 22 0 28 Apr 2021