3 papers
cs.AI2025
Contextual bandits with entropy-based human feedback
Raihan Seraj, Lili Meng, Tristan Sylvain
In recent years, preference-based human feedback mechanisms have become essential for enhancing model performance across diverse applications, including conversational AI systems s…
cs.LG2023
AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval
Qi Yan, Raihan Seraj, Jiawei He +2
Machine-based prediction of real-world events is garnering attention due to its potential for informed decision-making. Whereas traditional forecasting predominantly hinges on stru…
cs.CL2021
Nana-HDR: A Non-attentive Non-autoregressive Hybrid Model for TTS
Shilun Lin, Wenchao Su, Li Meng +3
This paper presents Nana-HDR, a new non-attentive non-autoregressive model with hybrid Transformer-based Dense-fuse encoder and RNN-based decoder for TTS. It mainly consists of thr…