arXiv (All)
open access
AdaLoop: Adaptive-Depth Latent Reasoning for Audio Language Models
Large audio language models answer questions about speech, sound, and music, yet their accuracy drops sharply on tasks that need fine-grained acoustic analysis. Judging which of two speakers has the higher pitch demands iterative signal-level reasoning that a content question does not. Current model
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- STEMMA: Song-to-Stem Multi-Audio Reasoning for Large Audio Language Models#1249164
- Voices as Handles: Reasoning about Speaker Identity with Frozen Text LLMs#1143102
- Shift-Aware Identity-Guided Latent Refinement for Referring Audio--Visual Segmentation#1296790
- TEMA: Evidence-Grounded Temporal Question Answering in Multi-Turn Multi-Audio Dialogs#1078100
- SpeechAnnotator: A Context-Aware Multi-Agent Framework and Benchmark for Multidimensional Speech Annotation#996758
Record · ID 1216031
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive