Prevent the Language Model from being Overconfident in Neural Machine
Translation

Prevent the Language Model from being Overconfident in Neural Machine Translation

24 May 2021

Xiao-Hua Zhou

Jie Zhou

Papers citing "Prevent the Language Model from being Overconfident in Neural Machine Translation"

8 / 8 papers shown

Title
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review Toghrul Abbasli Kentaroh Toyoda Yuan Wang Leon Witt Muhammad Asif Ali Yukai Miao Dan Li Qingsong Wei UQCV 92 0 0 25 Apr 2025
Smoothing Out Hallucinations: Mitigating LLM Hallucination with Smoothed Knowledge Distillation Hieu Nguyen Zihao He Shoumik Atul Gandre Ujjwal Pasupulety Sharanya Kumari Shivakumar Kristina Lerman HILM 59 1 0 16 Feb 2025
A Survey on Multimodal Large Language Models for Autonomous Driving Can Cui Yunsheng Ma Xu Cao Wenqian Ye Yang Zhou ... Xinrui Yan Shuqi Mei Jianguo Cao Ziran Wang Chao Zheng 41 251 0 21 Nov 2023
HaRiM $^+$ : Evaluating Summary Quality with Hallucination Risk Seonil Son Junsoo Park J. Hwang Junghwa Lee Hyungjong Noh Yeonsoo Lee HILM 11 8 0 22 Nov 2022
On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation Changtong Zan Liang Ding Li Shen Yu Cao Weifeng Liu Dacheng Tao 34 21 0 07 Sep 2022
Lack of Fluency is Hurting Your Translation Model J. Yoo Jaewoo Kang 18 0 0 24 May 2022
OpenNMT: Open-Source Toolkit for Neural Machine Translation Guillaume Klein Yoon Kim Yuntian Deng Jean Senellart Alexander M. Rush 262 1,896 0 10 Jan 2017
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,926 0 17 Aug 2015