activity
20172024
most citedSubspace Regularizers for Few-Shot Class Incremental Learning

42 citations · 110 across the 36 of their papers we have counts for

collaborators

39 papers

cs.CL2024

DriveThru: a Document Extraction Platform and Benchmark Datasets for Indonesian Local Language Archives

Mohammad Rifqi Farhansyah, Muhammad Zuhdi Fikri Johari, Afinzaki Amiral +3

Indonesia is one of the most diverse countries linguistically. However, despite this linguistic diversity, Indonesian languages remain underrepresented in Natural Language Processi…

cs.CL2024★ 1 cited

MetaMetrics-MT: Tuning Meta-Metrics for Machine Translation via Human Preference Calibration

David Anugraha, Garry Kuwanto, Lucky Susanto +2

We present MetaMetrics-MT, an innovative metric designed to evaluate machine translation (MT) tasks by aligning closely with human preferences through Bayesian optimization with Ga…

cs.CL2024

Linguistics Theory Meets LLM: Code-Switched Text Generation via Equivalence Constrained Large Language Models

Garry Kuwanto, Chaitanya Agarwal, Genta Indra Winata +1

Code-switching, the phenomenon of alternating between two or more languages in a single conversation, presents unique challenges for Natural Language Processing (NLP). Most existin…

cs.CL2024★ 2 cited

WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines

Genta Indra Winata, Frederikus Hudi, Patrick Amadeus Irawan +48

Vision Language Models (VLMs) often struggle with culture-specific knowledge, particularly in languages other than English and in underrepresented cultural contexts. To evaluate th…

cs.CL2024

MetaMetrics: Calibrating Metrics For Generation Tasks Using Human Preferences

Genta Indra Winata, David Anugraha, Lucky Susanto +2

Understanding the quality of a performance evaluation metric is crucial for ensuring that model outputs align with human preferences. However, it remains unclear how well each metr…

cs.CV2024

Generating Faithful and Salient Text from Multimodal Data

Tahsina Hashem, Weiqing Wang, Derry Tanti Wijaya +2

While large multimodal models (LMMs) have obtained strong performance on many multimodal tasks, they may still hallucinate while generating text. Their performance on detecting sal…