activity
20232026
most citedSEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages

2 citations · 6 across the 23 of their papers we have counts for

collaborators

23 papers

cs.CL2026

Momento: Evaluating Persistent Memory and Reasoning with Multi-Session Agentic Conversations

Adril Putra Merin, David Anugraha, Ayu Purwarianti +1

Recent advances in agentic AI have enabled agents to complete complex tasks through tool use, reasoning, and multi-step planning. Yet existing benchmarks evaluate agents within a s…

cs.CL2026

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…

cs.CL2026

Beyond Transfer Accuracy: Mechanism-Guided Controlled Adaptation for Low-Resource Languages

Khumaisa Nur'aini, Ayu Purwarianti, Alham Fikri Aji +1

Existing circuit discovery methods rely on templated tasks with clean counterfactuals, limiting their use on diverse natural text. We adapt Contextual Decomposition for Transformer…

cs.CV2025

Moment and Highlight Detection via MLLM Frame Segmentation

I Putu Andika Bagas Jiwanta, Ayu Purwarianti

Detecting video moments and highlights from natural-language queries have been unified by transformer-based methods. Other works use generative Multimodal LLM (MLLM) to predict mom…

cs.CL2025

Global PIQA: Evaluating Commonsense Reasoning Across 100+ Languages and Cultures

Tyler A. Chang, Catherine Arnett, Abdelrahman Sadallah +377

To date, there exist almost no culturally-specific evaluation benchmarks for large language models (LLMs) that cover a large number of languages and cultures. In this paper, we pre…

cs.CL2025

IndoPref: A Multi-Domain Pairwise Preference Dataset for Indonesian

Vanessa Rebecca Wiyono, David Anugraha, Ayu Purwarianti +1

Over 200 million people speak Indonesian, yet the language remains significantly underrepresented in preference-based research for large language models (LLMs). Most existing multi…