activity
20232026
most citedThe Llama 4 Herd: Architecture, Training, Evaluation, and Deployment Notes

1 citations · 3 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2026

Alignment-Free Text-Audiobox for Voice Dubbing and Full-Duplex Dialogue Synthesis

Sanyuan Chen, Min-Jae Hwang, Sho Inoue +12

We present Alignment-Free Text-Audiobox (Text-AB), a unified framework for high-quality voice dubbing and full-duplex dialogue synthesis. Building on a Diffusion Transformer traine…

cs.SE2026★ 1 cited

The Llama 4 Herd: Architecture, Training, Evaluation, and Deployment Notes

Redacted by arXiv

This document consolidates publicly reported technical details about Metas Llama 4 model family. It summarizes (i) released variants (Scout and Maverick) and the broader herd conte…

cs.CL2025

AutoMixer: Checkpoint Artifacts as Automatic Data Mixers

Ernie Chang, Yang Li, Patrick Huber +4

In language model training, it is desirable to equip models with capabilities from various tasks. However, it is not clear how to directly obtain the right data mixtures for these…

cs.SD2024

MusicFlow: Cascaded Flow Matching for Text Guided Music Generation

K R Prajwal, Bowen Shi, Matthew Lee +8

We introduce MusicFlow, a cascaded text-to-music generation model based on flow matching. Based on self-supervised representations to bridge between text descriptions and music aud…

eess.AS2024★ 1 cited

High Fidelity Text-Guided Music Editing via Single-Stage Flow Matching

Gael Le Lan, Bowen Shi, Zhaoheng Ni +9

We introduce MelodyFlow, an efficient text-controllable high-fidelity music generation and editing model. It operates on continuous latent representations from a low frame rate 48…

cs.SD2023★ 1 cited

In-Context Prompt Editing For Conditional Audio Generation

Ernie Chang, Pin-Jie Lin, Yang Li +6

Distributional shift is a central challenge in the deployment of machine learning models as they can be ill-equipped for real-world data. This is particularly evident in text-to-au…

eess.AS2023

Stack-and-Delay: a new codebook pattern for music generation

Gael Le Lan, Varun Nagaraja, Ernie Chang +5

In language modeling based music generation, a generated waveform is represented by a sequence of hierarchical token stacks that can be decoded either in an auto-regressive manner…