3 citations · 4 across the 8 of their papers we have counts for
9 papers
AI Misconception and Adoption Among Indonesian K-12 Teachers
Alham Fikri Aji, Afifa Amriani, Rendi Chevi +2
Indonesia's fragmented geography and uneven infrastructure pose persistent challenges for adopting new educational technologies. While national initiatives aim to mainstream AI in…
MOMENTS: A Comprehensive Multimodal Benchmark for Theory of Mind
Emilio Villa-Cueva, S M Masrur Ahmed, Rendi Chevi +7
Understanding Theory of Mind is essential for building socially intelligent multimodal agents capable of perceiving and interpreting human behavior. We introduce MoMentS (Multimoda…
Statement-Tuning Enables Efficient Cross-lingual Generalization in Encoder-only Models
Ahmed Elshabrawy, Thanh-Nhi Nguyen, Yeeun Kang +8
Large Language Models (LLMs) excel in zero-shot and few-shot tasks, but achieving similar performance with encoder-only models like BERT and RoBERTa has been challenging due to the…
How Individual Traits and Language Styles Shape Preferences In Open-ended User-LLM Interaction: A Preliminary Study
Rendi Chevi, Kentaro Inui, Thamar Solorio +1
What makes an interaction with the LLM more preferable for the user? While it is intuitive to assume that information accuracy in the LLM's responses would be one of the influentia…
BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages
Shamsuddeen Hassan Muhammad, Nedjma Ousidhoum, Idris Abdulmumin +45
People worldwide use language in subtle and complex ways to express emotions. Although emotion recognition--an umbrella term for several NLP tasks--impacts various applications wit…
CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark
David Romero, Chenyang Lyu, Haryo Akbarianto Wibowo +73
Visual Question Answering (VQA) is an important task in multimodal AI, and it is often used to test the ability of vision-language models to understand and reason on knowledge pres…
Daisy-TTS: Simulating Wider Spectrum of Emotions via Prosody Embedding Decomposition
Rendi Chevi, Alham Fikri Aji
We often verbally express emotions in a multifaceted manner, they may vary in their intensities and may be expressed not just as a single but as a mixture of emotions. This wide sp…
Nix-TTS: Lightweight and End-to-End Text-to-Speech via Module-wise Distillation
Rendi Chevi, Radityo Eko Prasojo, Alham Fikri Aji +2
Several solutions for lightweight TTS have shown promising results. Still, they either rely on a hand-crafted design that reaches non-optimum size or use a neural architecture sear…
Which Student is Best? A Comprehensive Knowledge Distillation Exam for Task-Specific BERT Models
Made Nindyatama Nityasya, Haryo Akbarianto Wibowo, Rendi Chevi +2
We perform knowledge distillation (KD) benchmark from task-specific BERT-base teacher models to various student models: BiLSTM, CNN, BERT-Tiny, BERT-Mini, and BERT-Small. Our exper…