论文解读
AudioTrust: Benchmarking The Multifaceted Trustworthiness of Audio Large Language Models
基准测试 | 7.5/10
模型评估
子标签
下方只统计已核验方向的论文记录，按已核身份去重，身份待核时按页面保留。“直接”只含明确标注该方向的论文；“含子树”同时包含下级方向。点击名称进入论文库继续筛选；数量与上方按标签名称收录的页面数不同。
- 模型比较 直接 130 篇 · 含子树 130 篇
论文解读
Beyond Decodability: Reconstructing Language Model Representations with an Encoding Probe
模型评估 | 7.5/10
论文解读
EchoMind: An Interrelated Multi-level Benchmark for Evaluating Empathetic Speech Language Models
基准测试 | 7.0/10
论文解读
Human Behavior Atlas: Benchmarking Unified Psychological And Social Behavior Understanding
多模态模型 | 8.5/10
论文解读
Human or Machine? A Preliminary Turing Test for Speech-to-Speech Interaction
语音对话系统 | 7.5/10
会议任务专题
ICLR 2026 - 模型评估
共 2 篇 ICLR 2026 模型评估 方向论文
论文解读
JointAVBench: A Benchmark for Joint Audio-Visual Reasoning Evaluation
音视频联合推理 | 7.0/10
论文解读
Learning multimodal dictionary decompositions with group-sparse autoencoders
跨模态检索 | 7.5/10
论文解读
MAPSS: Manifold-based Assessment of Perceptual Source Separation
模型评估 | 8.5/10
论文解读
NExT-OMNI: Towards Any-to-Any Omnimodal Foundation Models with Discrete Flow Matching
多模态模型 | 8.0/10
论文解读
OmniVideoBench: Towards Audio-Visual Understanding Evaluation for Omni MLLMs
基准测试 | 8.5/10
论文解读
OptMerge: Unifying Multimodal LLM Capabilities and Modalities via Model Merging
模型比较 | 7.0/10
论文解读
SNAP-UQ: Self-supervised Next-Activation Prediction for Single-Pass Uncertainty in TinyML
音频分类 | 7.5/10
论文解读
SyncTrack: Rhythmic Stability and Synchronization in Multi-Track Music Generation
音乐生成 | 7.5/10
论文解读
Timing is Everything: Temporal Scaffolding of Semantic Surprise in Humor
音频事件检测 | 6.5/10
论文解读
TTSDS2: Resources and Benchmark for Evaluating Human-Quality Text to Speech Systems
语音合成评估 | 7.5/10
论文解读
Unmute the Patch Tokens: Rethinking Probing in Multi-Label Audio Classification
音频分类 | 7.5/10
论文解读
VoxPrivacy: A Benchmark for Evaluating Interactional Privacy of Speech Language Models
模型评估 | 9.5/10
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