Detecting and Mitigating Hallucinations in Machine Translation: Model Internal Workings Alone Do Well, Sentence Similarity Even Better

16 December 2022

Papers citing "Detecting and Mitigating Hallucinations in Machine Translation: Model Internal Workings Alone Do Well, Sentence Similarity Even Better"

6 / 6 papers shown

Title
MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training Xinxin You Xien Liu Qixin Sun Huan Zhang Kaiyin Zhou Shaohui Liu Guoping Hu Shijin Wang Si Liu Ji Wu 79 0 0 13 Feb 2025
How Effective are State Space Models for Machine Translation? Hugo Pitorro Pavlo Vasylenko Marcos Vinícius Treviso André F. T. Martins Mamba 30 2 0 07 Jul 2024
Teaching LLMs to Abstain across Languages via Multilingual Feedback Shangbin Feng Weijia Shi Yike Wang Wenxuan Ding Orevaoghene Ahia Shuyue Stella Li Vidhisha Balachandran Sunayana Sitaram Yulia Tsvetkov 53 4 0 22 Jun 2024
ReSeTOX: Re-learning attention weights for toxicity mitigation in machine translation Javier García Gilabert Carlos Escolano Marta R. Costa-jussá CLL MU 11 2 0 19 May 2023
Hallucinations in Large Multilingual Translation Models Nuno M. Guerreiro Duarte M. Alves Jonas Waldendorf Barry Haddow Alexandra Birch Pierre Colombo André F.T. Martins VLM HILM LRM 13 139 0 28 Mar 2023
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015