10 citations · 14 across the 6 of their papers we have counts for
6 papers
Open ASR Leaderboard: Towards Reproducible and Transparent Multilingual and Long-Form Speech Recognition Evaluation
Vaibhav Srivastav, Steven Zheng, Eric Bezzam +6
We present the Open ASR Leaderboard, a reproducible benchmarking platform with community contributions from academia and industry. It compares 86 open-source and proprietary system…
SmolVLM: Redefining small and efficient multimodal models
Andrés Marafioti, Orr Zohar, Miquel Farré +14
Large Vision-Language Models (VLMs) deliver exceptional performance but require significant computational resources, limiting their deployment on mobile and edge devices. Smaller V…
ESPnet-SDS: Unified Toolkit and Demo for Spoken Dialogue Systems
Siddhant Arora, Yifan Peng, Jiatong Shi +9
Advancements in audio foundation models (FMs) have fueled interest in end-to-end (E2E) spoken dialogue systems, but different web interfaces for each system makes it challenging to…
SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model
Loubna Ben Allal, Anton Lozhkov, Elie Bakouch +19
While large language models have facilitated breakthroughs in many applications of artificial intelligence, their inherent largeness makes them computationally expensive and challe…
ESPnet-EZ: Python-only ESPnet for Easy Fine-tuning and Integration
Masao Someki, Kwanghee Choi, Siddhant Arora +7
We introduce ESPnet-EZ, an extension of the open-source speech processing toolkit ESPnet, aimed at quick and easy development of speech models. ESPnet-EZ focuses on two major aspec…
Embarrassingly Simple Performance Prediction for Abductive Natural Language Inference
Emīls Kadiķis, Vaibhav Srivastav, Roman Klinger
The task of abductive natural language inference (αnli), to decide which hypothesis is the more likely explanation for a set of observations, is a particularly difficult type of NL…