6 papers
Agent-based models for the evolution of morphological alternation patterns
Aravinth Kulanthaivelu, Richard Sproat
Why is the past of English "go" the apparently unrelated "went"? Such alternations are frequent in languages. They neither aid communication nor learnability, yet they can be persi…
RePo: Language Models with Context Re-Positioning
Huayang Li, Tianyu Zhao, Deng Cai +1
In-context learning is fundamental to modern Large Language Models (LLMs); however, prevailing architectures impose a rigid and fixed contextual structure by assigning linear or co…
KamonBench: A Grammar-Based Dataset for Evaluating Compositional Factor Recovery in Vision-Language Models
Richard Sproat, Stefano Peluchetti
Kamon (family crests) are an important part of Japanese culture and a natural test case for compositional visual recognition: each crest combines a small number of symbolic choices…
Creating ConLangs to Probe the Metalinguistic Grammatical Knowledge of LLMs
Chihiro Taguchi, Richard Sproat
We present a system that uses LLMs as a tool in the development of Constructed Languages -- ConLangs, which we call IASC (Interactive Agentic System for ConLangs). The system is mo…
Building Tailored Speech Recognizers for Japanese Speaking Assessment
Yotaro Kubo, Richard Sproat, Chihiro Taguchi +1
This paper presents methods for building speech recognizers tailored for Japanese speaking assessment tasks. Specifically, we build a speech recognizer that outputs phonemic labels…
TransEvalnia: Reasoning-based Evaluation and Ranking of Translations
Richard Sproat, Tianyu Zhao, Llion Jones
We present TransEvalnia, a prompting-based translation evaluation and ranking system that uses reasoning in performing its evaluations and ranking. This system presents fine-graine…