552 citations · 816 across the 123 of their papers we have counts for
132 papers
IndoNutriQA: An Indonesian Clinical Nutrition Question Answering Benchmark
Tirana Noor Fatyanosa, Ummu Ditya Erliana, Mahendra Data +3
Clinical Question Answering (QA) underpins Clinical Intelligent Decision Support Systems, but progress is severely limited for low-resource languages such as Indonesian by the abse…
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…
HyperBrowseComp: A Multilingual and Multimodal Stress Test for Web-Browsing Agents
Alham Fikri Aji, Faiz Rizki Ramadhan, Zayd M. K. Zuhri +14
We introduce HyperBrowseComp, a multilingual and multimodal browsing benchmark comprising 423 manually authored and human-validated questions across 13 languages, written by native…
Ego2Act: Evaluating Goal-Directed Manipulation in Egocentric Video Generation
Patrick Amadeus Irawan, Iskandar Muda Rizky Parlambang, Rava Maulana +10
Video generation models are increasingly being explored as world simulators for embodied planning and learning. To do so effectively, these models must not only generate visually a…
Last Translation Benchmark
Vilém Zouhar, Niyati Bafna, Mukund Choudhary +263
For scientific progress, we need benchmarks that test the limits of state-of-the-art models, and evaluation methods that inform us about failure cases. As models get stronger, stan…
EDRAC: Benchmarking Arabic Dialect Reading Comprehension
Noor Abo Mokh, Kirill Chirkunov, Teresa Lynn +15
Dialectal Arabic (DA) remains under-resourced compared to Modern Standard Arabic (MSA), particularly for machine reading comprehension (MRC) and question answering (QA). Existing A…
DuDi: Dual-Signal Distillation with Cross-Lingual Verbalizer
Patomporn Payoungkhamdee, Tinnakit Udsa, Jian Gang Ngui +3
Small language models (SLMs) are efficient and scalable, but their multilingual capabilities degrade severely at sub-billion scales, especially for Southeast Asian (SEA) languages.…
TimpaTeks: Automatic In-place Text Sequence Modification via Diffusion Language Model Steering
Ryandito Diandaru, Ikhlasul Akmal Hanif, Fadli Aulawi Al Ghiffari +2
We extend activation steering to diffusion language models (DLMs) and study a novel problem that arose due to the inference mechanism of DLMs: Modifying a text in-place to manifest…
SEA-NLI: Natural Language Inference as a Lens into Southeast Asian Cultural Understanding
Peerawat Chomphooyod, Jian Gang Ngui, Yosephine Susanto +5
Frontier LLMs perform well in Western contexts, but remain poorly tested on underrepresented cultures such as those in Southeast Asia (SEA). Existing NLI benchmarks are largely Wes…
Sense Representations Are Inducible Interfaces
Jan Christian Blaise Cruz, Alham Fikri Aji
Sense representations (explicit, per-token meaning decompositions) are useful for disambiguation, steering, and cross-lingual alignment, but existing approaches require models to b…
COPUS: Co-adaptive Parallelism and Batch Size Selection in Large Language Model Training
Akhmed Sakip, Erland Hilman Fuadi, Omar Sayedelahl +6
Training large language models requires jointly configuring two interdependent aspects of the system: the global batch size, which governs statistical efficiency, and the 3D parall…
LinguDistill: Recovering Linguistic Ability in Vision-Language Models via Selective Cross-Modal Distillation
Patrick Amadeus Irawan, Erland Hilman Fuadi, Shanu Kumar +2
Turning a pretrained language model (LM) into a vision-language model (VLM) through multimodal fine-tuning often erodes its native language ability, a form of catastrophic forgetti…
CulturALL: Benchmarking Multilingual and Multicultural Competence of LLMs on Grounded Tasks
Peiqin Lin, Chenyang Lyu, Wenjiang Luo +22
Large language models (LLMs) are now deployed worldwide, inspiring a surge of benchmarks that measure their multilingual and multicultural abilities. However, these benchmarks prio…
Anthropogenic Regional Adaptation in Multimodal Vision-Language Model
Samuel Cahyawijaya, Peerat Limkonchotiwat, Tack Hwa Wong +45
While the field of vision-language (VL) has achieved remarkable success in integrating visual and textual information across multiple languages and domains, there is still no dedic…
LLM Olympiad: Why Model Evaluation Needs a Sealed Exam
Jan Christian Blaise Cruz, Alham Fikri Aji
Benchmarks and leaderboards are how NLP most often communicates progress, but in the LLM era they are increasingly easy to misread. Scores can reflect benchmark-chasing, hidden eva…
SEA-Guard: Culturally Grounded Multilingual Safeguard for Southeast Asia
Panuthep Tasawong, Jian Gang Ngui, Alham Fikri Aji +2
Culturally aware safeguards are crucial for AI alignment in real-world settings, where safety extends beyond common sense and encompasses diverse local values, norms, and region-sp…
Macaron: Controlled, Human-Written Benchmark for Multilingual and Multicultural Reasoning via Template-Filling
Alaa Elsetohy, Sama Hadhoud, Haryo Akbarianto Wibowo +4
Multilingual benchmarks rarely test reasoning over culturally grounded premises: translated datasets keep English-centric scenarios, while culture-first datasets often lack control…
PingPong: A Natural Benchmark for Multi-Turn Code-Switching Dialogues
Mohammad Rifqi Farhansyah, Hanif Muhammad Zhafran, Farid Adilazuarda +6
Code-switching is a widespread practice among the world's multilingual majority, yet few benchmarks accurately reflect its complexity in everyday communication. We present PingPong…
Idea First, Code Later: Disentangling Problem Solving from Code Generation in Evaluating LLMs for Competitive Programming
Sama Hadhoud, Alaa Elsetohy, Frederikus Hudi +3
Large Language Models (LLMs) increasingly succeed on competitive programming problems, yet existing evaluations conflate algorithmic reasoning with code-level implementation. We ar…
Multilinguality as Sense Adaptation
Jan Christian Blaise Cruz, David Ifeoluwa Adelani, Alham Fikri Aji
We approach multilinguality as sense adaptation: aligning latent meaning representations across languages rather than relying solely on shared parameters and scale. In this paper,…
Afri-MCQA: Multimodal Cultural Question Answering for African Languages
Atnafu Lambebo Tonja, Srija Anand, Emilio Villa-Cueva +16
Africa is home to over one-third of the world's languages, yet remains underrepresented in AI research. We introduce Afri-MCQA, the first Multilingual Cultural Question-Answering b…
Multicultural Spyfall: Assessing LLMs through a Dynamic Multilingual Social Deduction Game
Haryo Akbarianto Wibowo, Alaa Elsetohy, Qinrong Cui +1
The rapid advancement of Large Language Models (LLMs) has necessitated more robust evaluation methods that go beyond static benchmarks, which are increasingly prone to data saturat…
Does Visual Rendering Bypass Tokenization? Investigating Script-Tokenizer Misalignment in Pixel-Based Language Models
Lucky Susanto, Musa Izzanardi Wijanarko, Khumaisa Nur'aini +3
While pixel-based language modeling aims to bypass the sub-word tokenization bottleneck by rendering text as images, recent multimodal variants such as DualGPT reintroduce text tok…
Improving Low-Resource Machine Translation via Round-Trip Reinforcement Learning
Ahmed Attia, Alham Fikri Aji
Low-resource machine translation (MT) has gained increasing attention as parallel data from low-resource language communities is collected, but many approaches for improving low-re…