activity
20192026
most citedEvaluating Language Model Finetuning Techniques for Low-resource Languages

32 citations · 96 across the 22 of their papers we have counts for

collaborators

26 papers

cs.CL2026

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…

cs.AI2026

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…

cs.CL2026

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…

cs.CL2026

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,…

cs.CL2025

FilBench: Can LLMs Understand and Generate Filipino?

Lester James V. Miranda, Elyanah Aco, Conner Manuel +2

Despite the impressive performance of LLMs on English-based tasks, little is known about their capabilities in specific languages such as Filipino. In this work, we address this ga…

cs.CL2025

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…