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20162026
most citedDeep Learning Methods for Improved Decoding of Linear Codes

571 citations · 929 across the 39 of their papers we have counts for

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5 papers · 1 filter

cs.CL2026

ILRR: Inference-Time Steering Method for Masked Diffusion Language Models

Eden Avrahami, Eliya Nachmani

Discrete Diffusion Language Models (DLMs) offer a promising non-autoregressive alternative for text generation, yet effective mechanisms for inference-time control remain relativel…

cs.CL2025

Plan for Speed: Dilated Scheduling for Masked Diffusion Language Models

Omer Luxembourg, Haim Permuter, Eliya Nachmani

Masked diffusion language models (MDLMs) promise fast, non-autoregressive text generation, yet existing samplers, which pick tokens to unmask based on model confidence, ignore inte…

cs.CL2023★ 4 cited

Translatotron 3: Speech to Speech Translation with Monolingual Data

Eliya Nachmani, Alon Levkovitch, Yifan Ding +3

This paper presents Translatotron 3, a novel approach to unsupervised direct speech-to-speech translation from monolingual speech-text datasets by combining masked autoencoder, uns…

cs.CL2023

Spoken Question Answering and Speech Continuation Using Spectrogram-Powered LLM

Eliya Nachmani, Alon Levkovitch, Roy Hirsch +6

We present Spectron, a novel approach to adapting pre-trained large language models (LLMs) to perform spoken question answering (QA) and speech continuation. By endowing the LLM wi…

cs.CL2021

Zero-Shot Translation using Diffusion Models

Eliya Nachmani, Shaked Dovrat

In this work, we show a novel method for neural machine translation (NMT), using a denoising diffusion probabilistic model (DDPM), adjusted for textual data, following recent advan…