15 citations · 20 across the 14 of their papers we have counts for
5 papers · 1 filter
SPEAR-Gen: Generation-Aware Pre-training for Unified Speech Representations
Xiaoyu Yang, Arthur Hinsvark, Antonios Alexos +3
Speech understanding and generation place different demands on speech representations, and existing models are typically optimised towards one capability or the other. To reduce th…
CT: Counterfactual Causal Reasoning for Sentiment Shifts in Social-Media Conversation Trees
S M Rafiuddin, Atriya Sen
Sentiment in social-media threads does not only vary across posts; it shifts as users react to claims, corrections, evidence, and hostility within a branching reply tree. We study…
Gender Bias in MT for a Genderless Language: New Benchmarks for Basque
Amaia Murillo, Olatz-Perez-de-Viñaspre, Naiara Perez
Large language models (LLMs) and machine translation (MT) systems are increasingly used in our daily lives, but their outputs can reproduce gender bias present in the training data…
Scaling Speech Tokenizers with Diffusion Autoencoders
Yuancheng Wang, Zhenyu Tang, Yun Wang +9
Speech tokenizers are foundational to speech language models, yet existing approaches face two major challenges: (1) balancing trade-offs between encoding semantics for understandi…
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…