Benchmarking and Confidence Evaluation of LALMs For Temporal Reasoning
On the map: LLM reasoning → Audio-language model reasoning
Abstract (arXiv)
The popular success of text-based large language models (LLM) has streamlined the attention of the multimodal community to combine other modalities like vision and audio along with text to achieve similar multimodal capabilities. In this quest, large audio language models (LALMs) have to be evaluated on reasoning related tasks which are different from traditional classification or generation tasks. Towards this goal, we propose a novel dataset called temporal reasoning evaluation of audio (TREA). We benchmark open-source LALMs and observe that they are consistently behind human capabilities on the tasks in the TREA dataset. While evaluating LALMs, we also propose an uncertainty metric, which computes the invariance of the model to semantically identical perturbations of the input. Our analysis shows that the accuracy and uncertainty metrics are not necessarily correlated and thus, points to a need for wholesome evaluation of LALMs for high-stakes applications.
Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). Placed in Audio-language model reasoning, one of 17 directions in LLM reasoning. Builds on 38 of its 43 references that are in the map. First posted on arXiv 19 May 2025.
Builds on
38 of 43 references.
Closest ancestors · 4
Same direction, newest first
- 2024MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark24 Oct
- 2024Can Large Audio-Language Models Truly Hear? Tackling Hallucinations with Multi-Task Assessment and Stepwise Audio Reasoning21 Oct
- 2024GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities17 Jun
- 2023CompA: Addressing the Gap in Compositional Reasoning in Audio-Language Models12 Oct
Other references · 34
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Built on by
Citing papers per year: 2025: 3; 2026: 7.
10 papers.
- 2026The Interspeech 2026 Audio Reasoning Challenge: Evaluating Reasoning Process Quality for Audio Reasoning Models and Agentscited by 6
- 2025FESTA: Functionally Equivalent Sampling for Trust Assessment of Multimodal LLMscited by 5
- 2025Robustness assessment of large audio language models in multiple-choice evaluationcited by 5
- 2026Audio-Zero: Label-Free Self-Evolution for Fine-Grained Audio Reasoningcited by 3
- 2025ORCA: Open-ended Response Correctness Assessment for Audio Question Answeringcited by 2
- 2026A Closer Look at Failure Modes in Temporal Understanding of Large Audio-Language Modelscited by 2
- 2026TEMPO: Temporally-grounded Multi-task Post-training for Large Audio-Language Modelscited by 1
- 2026Acoustic Cue Alignment in Audio Language Models for Speech Emotion Recognitioncited by 0
- 2026BiG-SURE - Bipartite Graph for Semantic Uncertainty and Reliability Estimation of LLMscited by 0
- 2026On Temporal Binding in Large Audio Language Modelscited by 0
- 2026On Temporal Binding in Large Audio Language Models28 Sep 2026
- 2026BiG-SURE - Bipartite Graph for Semantic Uncertainty and Reliability Estimation of LLMs31 Aug 2026
- 2026TEMPO: Temporally-grounded Multi-task Post-training for Large Audio-Language Models30 Aug 2026
- 2026Audio-Zero: Label-Free Self-Evolution for Fine-Grained Audio Reasoning22 Jul 2026
- 2026A Closer Look at Failure Modes in Temporal Understanding of Large Audio-Language Models16 Jun 2026
- 2026Acoustic Cue Alignment in Audio Language Models for Speech Emotion Recognition5 Jun 2026
- 2026The Interspeech 2026 Audio Reasoning Challenge: Evaluating Reasoning Process Quality for Audio Reasoning Models and Agents15 Feb 2026
- 2025ORCA: Open-ended Response Correctness Assessment for Audio Question Answering28 Nov 2025
- 2025Robustness assessment of large audio language models in multiple-choice evaluation6 Oct 2025
- 2025FESTA: Functionally Equivalent Sampling for Trust Assessment of Multimodal LLMs20 Sep 2025
Similar, not cited
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- 2025Towards Reliable Large Audio Language Model
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- 2025Not in Sync: Unveiling Temporal Bias in Audio Chat Models
- 2025SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information
- 2026Nudging Hidden States: Training-Free Model Steering for Chain-of-Thought Reasoning in Large Audio-Language Models
- 2026A Benchmark for Audio Reasoning Capabilities of Multimodal Large Language Models