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Aashay Mehta

2 accepted papers

2025

On the Query Complexity of Verifier-Assisted Language Generation

ICML 2025poster

Recently, a plethora of works have proposed inference-time algorithms (e.g. best-of-n), which incorporate verifiers to assist the generation process. Their quality-efficiency trade-offs have been empirically benchmarked on a variety of constrained generation tasks, but the algorithmic design landsca…

Cited by 1SourcePDFScholar
2024

Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines

ICML 2024poster

Autoregressive language models are the currently dominant paradigm for text generation, however they have some fundamental limitations that cannot be remedied by scale---for example inherently sequential and unidirectional generation. While alternate classes of models have been explored, we have lim…