Stream mines streaming media to create and release StreamDial, a dataset of 87,498 structured task-oriented dialogue sessions across automotive, restaurant, and hotel domains using persona construction, Conversational Blueprints, and RAG.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.CL 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Audio language models are benchmarked on five semantic and paralinguistic reasoning tasks to reveal limitations in handling spoken audio evidence, accent variation, and domain shifts.
citing papers explorer
-
STREAM: A Data-Centric Framework for Mining High-Value Task-Oriented Dialogues from Streaming Media
Stream mines streaming media to create and release StreamDial, a dataset of 87,498 structured task-oriented dialogue sessions across automotive, restaurant, and hotel domains using persona construction, Conversational Blueprints, and RAG.
-
Afrispeech Semantics: Evaluating Audio Semantic Reasoning in Spoken Language Models Across Domains and Accents
Audio language models are benchmarked on five semantic and paralinguistic reasoning tasks to reveal limitations in handling spoken audio evidence, accent variation, and domain shifts.