语义解析论文趋势 2023–2026
意义表示
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 230 篇被归入该主题的论文。
主要结论
- 语义解析论文从 2023 年的 58 篇增长到 2026 年的 79 篇，三年间扩大到约 1.4 倍。
- CVPR 是发语义解析论文最多的会议，2023–2026 年共 117 篇，占四个会议总量的 51%。
- 交叉方向里涨得最快的是多模态大模型：同时属于两个主题的论文从 2023 年的 2 篇增至 2026 年的 20 篇。
- 在「神经符号」的 5 个主题里，它的 2026 年论文数排第 3；同组增长最快的数学推理是 10 倍，语义解析是 1.4 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 5 | 14 | 2 | 37 | 58 |
| 2024 | 8 | 7 | 7 | 31 | 53 |
| 2025 | 12 | 5 | 4 | 19 | 40 |
| 2026 | 28 | 9 | 12 | 30 | 79 |
代表论文
按年份和会议均匀挑选，方便快速看到每一届的样貌
- NeurIPS 2026ASQ: Agent-guided Semantic-aware Quantization for Large Language Models
- ICML 2026CURE: Consistency-under-Unified Semantic Regularization for Generalized Category Discovery
- ICLR 2026vCache: Verified Semantic Prompt Caching
- CVPR 2026AdaSFormer Adaptive Serialized Transformers for Monocular Semantic Scene Completion from
- NeurIPS 2025A Semantic Parsing Framework for End-to-End Time Normalization
- ICML 2025HashAttention: Semantic Sparsity for Faster Inference
- ICLR 2025Discrete Latent Plans via Semantic Skill Abstractions
- CVPR 2025DIFFER: Disentangling Identity Features via Semantic Cues for Clothes-Changing Person Re-ID
- NeurIPS 2024AMBROSIA: A Benchmark for Parsing Ambiguous Questions into Database Queries
- ICML 2024Language Models as Semantic Indexers
- ICLR 2024A Semantic Invariant Robust Watermark for Large Language Models
- CVPR 2024EFormer: Enhanced Transformer towards Semantic-Contour Features of Foreground for Portraits Matting
- NeurIPS 2023BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic Parsing
- ICML 2023Marginalization is not Marginal: No Bad VAE Local Minima when Learning Optimal Sparse Representations
- ICLR 2023Compositional Law Parsing with Latent Random Functions
- CVPR 2023GP-VTON: Towards General Purpose Virtual Try-On via Collaborative Local-Flow Global-Parsing Learning
- NeurIPS 2026Bandits via Additive Quantized Representations
- ICML 2026Learning Sparse Visual Representations via Spatial-Semantic Factorization
- ICLR 2026Cache-to-Cache: Direct Semantic Communication Between Large Language Models
- CVPR 2026GeoSURGE Geo-localization using Semantic Fusion with Hierarchy of Geographic Embeddings
全部语义解析论文
共 19 篇，第 1 / 1 页
- CVPR 20253D Gaussian Head Avatars with Expressive Dynamic Appearances by Compact Tensorial Representations
- CVPR 2025Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation
- CVPR 2025Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions
- CVPR 2025Data-free Universal Adversarial Perturbation with Pseudo-semantic Prior
- CVPR 2025DFormerv2: Geometry Self-Attention for RGBD Semantic Segmentation
- CVPR 2025DIFFER: Disentangling Identity Features via Semantic Cues for Clothes-Changing Person Re-ID
- CVPR 2025FluxSpace: Disentangled Semantic Editing in Rectified Flow Models
- CVPR 2025Layered Image Vectorization via Semantic Simplification
- CVPR 2025Learning Visual Composition through Improved Semantic Guidance
- CVPR 2025MaSS13K: A Matting-level Semantic Segmentation Benchmark
- CVPR 2025Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction
- CVPR 2025SEC-Prompt:SEmantic Complementary Prompting for Few-Shot Class-Incremental Learning
- CVPR 2025SemAlign3D: Semantic Correspondence between RGB-Images through Aligning 3D Object-Class Representations
- CVPR 2025SGFormer: Satellite-Ground Fusion for 3D Semantic Scene Completion
- CVPR 2025SINR: Sparsity Driven Compressed Implicit Neural Representations
- CVPR 2025SUM Parts: Benchmarking Part-Level Semantic Segmentation of Urban Meshes
- CVPR 2025The Change You Want To Detect: Semantic Change Detection In Earth Observation With Hybrid Data Generationf
- CVPR 2025Three Cars Approaching within 100m! Enhancing Distant Geometry by Tri-Axis Voxel Scanning for Camera-based Semantic Scene Completion
- CVPR 2025TriTex: Learning Texture from a Single Mesh via Triplane Semantic Features
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查语义解析在 CVPR 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "semantic-parsing"}
常见问题
- 2023–2026 年四大会议一共有多少篇语义解析论文？
- 共 230 篇，按年份分别是 2023 年 58 篇、2024 年 53 篇、2025 年 40 篇、2026 年 79 篇。
- NeurIPS 2026 有多少篇语义解析论文？
- NeurIPS 2026 有 28 篇语义解析论文，上一届是 12 篇。
- ICLR 2026 有多少篇语义解析论文？
- ICLR 2026 有 9 篇语义解析论文，上一届是 5 篇。
- ICML 2026 有多少篇语义解析论文？
- ICML 2026 有 12 篇语义解析论文，上一届是 4 篇。
- CVPR 2026 有多少篇语义解析论文？
- CVPR 2026 有 30 篇语义解析论文，上一届是 19 篇。
- 哪个会议的语义解析论文最多？
- CVPR，2023–2026 年共 117 篇。