Ethan A. Chi — accepted AI-conference papers

2024

LINGOLY: A Benchmark of Olympiad-Level Linguistic Reasoning Puzzles in Low Resource and Extinct Languages

Andrew Michael Bean, Simeon Hellsten, Harry Mayne, Jabez Magomere, Ethan A Chi, Ryan Andrew Chi +2

NeurIPS 2024oral

In this paper, we present the LingOly benchmark, a novel benchmark for advanced reasoning abilities in large language models. Using challenging Linguistic Olympiad puzzles, we evaluate (i) capabilities for in-context identification and generalisation of linguistic patterns in very low-resource or ex…

Cited by 10 Source ↗PDF ↗code ↗Scholar ↗

2021

Align-Refine: Non-Autoregressive Speech Recognition via Iterative Realignment

Ethan A. Chi, Julian Salazar, Katrin Kirchhoff

NAACL 2021long

Non-autoregressive encoder-decoder models greatly improve decoding speed over autoregressive models, at the expense of generation quality. To mitigate this, iterative decoding models repeatedly infill or refine the proposal of a non-autoregressive model. However, editing at the level of output seque…

Cited by 64 Source ↗PDF ↗code ↗Scholar ↗