43 citations · 68 across the 9 of their papers we have counts for
10 papers
AVTrace: Diagnosing Audio-Visual Temporal Reasoning in Omni Models
Longyin Zhang, Parth Sakhare Mahendra, Chengwei Wei +4
Omni models can describe video content, but can they locate events in time, preserve event order, and judge audio-visual synchronization? We introduce AVTrace (Audio-Visual Tempora…
MERaLiON-GR: Speech Gender Recognition Model for English and SEA Languages
Qiongqiong Wang, Ai Ti Aw, Nancy F. Chen +18
We present MERaLiON-GR, a speech gender recognition system that performs binary classification (female / male) on English and Southeast Asian (SEA) languages. The model finetunes M…
SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural Reasoning
Bin Wang, Zhengyuan Liu, Xin Huang +4
We present SeaEval, a benchmark for multilingual foundation models. In addition to characterizing how these models understand and reason with natural language, we also investigate…
Modeling What-to-ask and How-to-ask for Answer-unaware Conversational Question Generation
Xuan Long Do, Bowei Zou, Shafiq Joty +4
Conversational Question Generation (CQG) is a critical task for machines to assist humans in fulfilling their information needs through conversations. The task is generally cast in…
Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models
Ratish Puduppully, Anoop Kunchukuttan, Raj Dabre +2
This study investigates machine translation between related languages i.e., languages within the same family that share linguistic characteristics such as word order and lexical si…
CoHS-CQG: Context and History Selection for Conversational Question Generation
Xuan Long Do, Bowei Zou, Liangming Pan +3
Conversational question generation (CQG) serves as a vital task for machines to assist humans, such as interactive reading comprehension, through conversations. Compared to traditi…
Improving Lexical Embeddings for Robust Question Answering
Weiwen Xu, Bowei Zou, Wai Lam +1
Recent techniques in Question Answering (QA) have gained remarkable performance improvement with some QA models even surpassed human performance. However, the ability of these mode…
Addressing the Vulnerability of NMT in Input Perturbations
Weiwen Xu, Ai Ti Aw, Yang Ding +2
Neural Machine Translation (NMT) has achieved significant breakthrough in performance but is known to suffer vulnerability to input perturbations. As real input noise is difficult…
Cross-model Back-translated Distillation for Unsupervised Machine Translation
Xuan-Phi Nguyen, Shafiq Joty, Thanh-Tung Nguyen +2
Recent unsupervised machine translation (UMT) systems usually employ three main principles: initialization, language modeling and iterative back-translation, though they may apply…
Data Diversification: A Simple Strategy For Neural Machine Translation
Xuan-Phi Nguyen, Shafiq Joty, Wu Kui +1
We introduce Data Diversification: a simple but effective strategy to boost neural machine translation (NMT) performance. It diversifies the training data by using the predictions…