Signals 4 · free daily AI digest

VocalGrad: Evaluating Acoustic Perception in Audio Language Models

Paper recorded by Signals 4 on 2026-10-16 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-16 on arXiv · recorded by Signals 4 on 2026-10-19

Category: cs.CL · 自然语言处理 · first seen 2026-10-19

Abstract

Recent large audio language models (LALMs) have extended their capabilities beyond lexical speech understanding to tasks requiring paralinguistic and non-linguistic audio understanding, such as emotion recognition. However, these models still struggle to reliably utilize acoustic information, particularly when it co-occurs with spoken linguistic content. Existing benchmarks do not clearly distingu

Read on arXiv →

#221 most recent of 660 cs.CL papers we have recorded · ↑ newer: DLite: History-free Speculative Decoding for Agentic AI · ↓ older: The Italian lawmaking process: a unified and structured dataset
Cite this page: VocalGrad: Evaluating Acoustic Perception in Audio Language Models: the #221 most recent of 660 cs.CL papers we have recorded (as of 2026-10-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/vocalgrad-evaluating-acoustic-perception-in-audio-language-models.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
Related: More cs.CL papers · arXiv signals · All papers · Today in AI
Get 4 AI signals a day by email — free.
Subscribe free → See all plans →
Get 4 AI signals a day by email — free
All models · All repos · By company · Daily editions