most citedR3: Robust Rubric-Agnostic Reward Models

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

cs.HC2026

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…

cs.CL2026

Do Language Models Track Entities Across State Changes?

Zilu Tang, Qiao Zhao, Gabriel Franco +4

Entity tracking (ET), the ability to keep track of states, is a fundamental skill that underlies complex reasoning. An increasing amount of work investigates how transformer langua…

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.CL2025

mR3: Multilingual Rubric-Agnostic Reward Reasoning Models

David Anugraha, Shou-Yi Hung, Zilu Tang +3

Evaluation using Large Language Model (LLM) judges has been widely adopted in English and shown to be effective for automatic evaluation. However, their performance does not genera…

cs.LG2025

Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability

Genta Indra Winata, David Anugraha, Emmy Liu +17

High-quality datasets are fundamental to training and evaluating machine learning models, yet their creation-especially with accurate human annotations-remains a significant challe…

cs.CL2025★ 1 cited

R3: Robust Rubric-Agnostic Reward Models

David Anugraha, Zilu Tang, Lester James V. Miranda +5

Reward models are essential for aligning language model outputs with human preferences, yet existing approaches often lack both controllability and interpretability. These models a…

cs.CL2025

Do Language Models Understand Honorific Systems in Javanese?

Mohammad Rifqi Farhansyah, Iwan Darmawan, Adryan Kusumawardhana +3

The Javanese language features a complex system of honorifics that vary according to the social status of the speaker, listener, and referent. Despite its cultural and linguistic s…