activity
20182026
most citedA Survey of Code-switched Speech and Language Processing

52 citations · 224 across the 34 of their papers we have counts for

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6 papers · 1 filter

cs.AI2026

Voxtral TTS

Mistral-AI, :, Alexander H. Liu +186

We introduce Voxtral TTS, an expressive multilingual text-to-speech model that generates natural speech from as little as 3 seconds of reference audio. Voxtral TTS adopts a hybrid…

cs.AI2024★ 2 cited

Certainly Uncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness

Khyathi Raghavi Chandu, Linjie Li, Anas Awadalla +5

The ability to acknowledge the inevitable uncertainty in their knowledge and reasoning is a prerequisite for AI systems to be truly truthful and reliable. In this paper, we present…

cs.AI2024

L3GO: Language Agents with Chain-of-3D-Thoughts for Generating Unconventional Objects

Yutaro Yamada, Khyathi Chandu, Yuchen Lin +3

Diffusion-based image generation models such as DALL-E 3 and Stable Diffusion-XL demonstrate remarkable capabilities in generating images with realistic and unique compositions. Ye…

cs.AI2023★ 1 cited

Localized Symbolic Knowledge Distillation for Visual Commonsense Models

Jae Sung Park, Jack Hessel, Khyathi Raghavi Chandu +8

Instruction following vision-language (VL) models offer a flexible interface that supports a broad range of multimodal tasks in a zero-shot fashion. However, interfaces that operat…

cs.AI2023★ 2 cited

Agent Lumos: Unified and Modular Training for Open-Source Language Agents

Da Yin, Faeze Brahman, Abhilasha Ravichander +4

Closed-source agents suffer from several issues such as a lack of affordability, transparency, and reproducibility, particularly on complex interactive tasks. This motivates the de…

cs.AI2023★ 10 cited

The Generative AI Paradox: "What It Can Create, It May Not Understand"

Peter West, Ximing Lu, Nouha Dziri +11

The recent wave of generative AI has sparked unprecedented global attention, with both excitement and concern over potentially superhuman levels of artificial intelligence: models…