论文解读
Task-Aware Answer Preservation under Audio Compression for Large Audio Language Models
音频问答 | 6.5/10
音频问答
论文解读
MedMosaic: A Challenging Large Scale Benchmark of Diverse Medical Audio
音频问答 | 6.5/10
论文解读
Can Vision-Language Models Answer Face to Face Questions in the Real-World?
音频问答 | 8.0/10
论文解读
Echo: Towards Advanced Audio Comprehension via Audio-Interleaved Reasoning
音频问答 | 8.5/10
会议任务专题
ICLR 2026 - 音频问答
共 6 篇 ICLR 2026 音频问答 方向论文
论文解读
Incentivizing Consistent, Effective and Scalable Reasoning Capability in Audio LLMs via Reasoning Process Rewards
音频问答 | 8.5/10
论文解读
Measuring Audio's Impact on Correctness: Audio-Contribution-Aware Post-Training of Large Audio Language Models
音频问答 | 7.5/10
论文解读
Query-Guided Spatial–Temporal–Frequency Interaction for Music Audio–Visual Question Answering
音频问答 | 8.0/10
论文解读
STAR-Bench: Probing Deep Spatio-Temporal Reasoning as Audio 4D Intelligence
基准测试 | 6.5/10
论文解读
UALM: Unified Audio Language Model for Understanding, Generation and Reasoning
音频生成 | 8.5/10
论文解读
WearVox: An Egocentric Multichannel Voice Assistant Benchmark for Wearables
基准测试 | 8.0/10
论文解读
WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs
音频问答 | 7.0/10
论文解读
XModBench: Benchmarking Cross-Modal Capabilities and Consistency in Omni-Language Models
基准测试 | 7.5/10
论文解读
Can Vision-Language Models Answer Face to Face Questions in the Real-World?
音频问答 | 7.5/10
论文解读
Echo: Towards Advanced Audio Comprehension via Audio-Interleaved Reasoning
音频问答 | 8.5/10
论文解读
Incentivizing Consistent, Effective and Scalable Reasoning Capability in Audio LLMs via Reasoning Process Rewards
音频问答 | 8.5/10
论文解读
Measuring Audio's Impact on Correctness: Audio-Contribution-Aware Post-Training of Large Audio Language Models
音频问答 | 7.5/10
论文解读
OmniVideoBench: Towards Audio-Visual Understanding Evaluation for Omni MLLMs
基准测试 | 7.8/10
论文解读
OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM
音频问答 | 8.0/10
论文解读
Query-Guided Spatial–Temporal–Frequency Interaction for Music Audio–Visual Question Answering
音频问答 | 7.0/10