14 papers
Multi Codec Discrete Diffusion Model for Text Guided Speech Inpainting and Editing
Iftach Shoham, Tali Dror, Oren Gal +3
Speech recordings often contain missing, corrupted, or incorrect regions that must be reconstructed or modified without re-synthesizing the entire utterance. Speech inpainting rest…
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…
Two-Dimensional Quantization for Geometry-Aware Audio Coding
Tal Shuster, Eliya Nachmani
Recent neural audio codecs have achieved impressive reconstruction quality, typically relying on quantization methods such as Residual Vector Quantization (RVQ), Vector Quantizatio…
SAFEdit: Does Multi-Agent Decomposition Resolve the Reliability Challenges of Instructed Code Editing?
Noam Tarshish, Nofar Selouk, Daniel Hodisan +4
Instructed code editing is a significant challenge for large language models (LLMs). On the EditBench benchmark, 39 of 40 evaluated models obtain a task success rate (TSR) below 60…
SAQ: Stabilizer-Aware Quantum Error Correction Decoder
David Zenati, Eliya Nachmani
Quantum Error Correction (QEC) decoding faces a fundamental accuracy-efficiency tradeoff. Classical methods like Minimum Weight Perfect Matching (MWPM) exhibit variable performance…
Token-Based Audio Inpainting via Discrete Diffusion
Tali Dror, Iftach Shoham, Moshe Buchris +4
Audio inpainting seeks to restore missing segments in degraded recordings. Previous diffusion-based methods exhibit impaired performance when the missing region is large. We introd…