7 citations · 12 across the 7 of their papers we have counts for
5 papers · 1 filter
NRITYAM: Language Models Meet Art and Heritage of Dance
Punit Kumar Singh, Niladri Ghosh, Advait Joshiınst +3
Language models have become essential tools in shaping modern workflows. However, their global effectiveness hinges on a nuanced understanding of local socio-cultural contexts. To…
Let's Play Across Cultures: A Large Multilingual, Multicultural Benchmark for Assessing Language Models' Understanding of Sports
Punit Kumar Singh, Nishant Kumar, Akash Ghosh +9
Language Models (LMs) are primarily evaluated on globally popular sports, often overlooking regional and indigenous sporting traditions. To address this gap, we introduce \textbf{\…
RefBERT: Compressing BERT by Referencing to Pre-computed Representations
Xinyi Wang, Haiqin Yang, Liang Zhao +2
Recently developed large pre-trained language models, e.g., BERT, have achieved remarkable performance in many downstream natural language processing applications. These pre-traine…
Progressive Open-Domain Response Generation with Multiple Controllable Attributes
Haiqin Yang, Xiaoyuan Yao, Yiqun Duan +3
It is desirable to include more controllable attributes to enhance the diversity of generated responses in open-domain dialogue systems. However, existing methods can generate resp…
EmotionX-DLC: Self-Attentive BiLSTM for Detecting Sequential Emotions in Dialogue
Linkai Luo, Haiqing Yang, Francis Y. L. Chin
In this paper, we propose a self-attentive bidirectional long short-term memory (SA-BiLSTM) network to predict multiple emotions for the EmotionX challenge. The BiLSTM exhibits the…