Semantic Parsing papers, 2023–2026

Key findings

• Semantic Parsing went from 58 papers in 2023 to 79 in 2026, roughly 1.4x in three years.
• CVPR publishes the most Semantic Parsing work: 117 papers from 2023 to 2026, 51% of the four-venue total.
• The fastest-growing overlap is with Multimodal LLMs: papers tagged with both rose from 2 in 2023 to 20 in 2026.
• Among the 5 topics under Neurosymbolic AI, it ranks #3 by 2026 paper count; the fastest grower in the group, Mathematical Reasoning, is up 10x versus 1.4x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Semantic Parsing papers

79 papers, page 2 of 2

51. ICML 2026WorldComp2D: Spatio-semantic Representations of Object Identity and Location from Local Views
52. NeurIPS 2026ASQ: Agent-guided Semantic-aware Quantization for Large Language Models
53. NeurIPS 2026Bandits via Additive Quantized Representations
54. NeurIPS 2026Beyond Pixel-wise Supervision: Local Structure Regularization for Semantic Segmentation
55. NeurIPS 2026ChartArena: A Unified Benchmark with Atomic-Primitive Reasoning for Chart Parsing
56. NeurIPS 2026CI4A: Semantic Component Interfaces for Agents Empowering Web Automation
57. NeurIPS 2026DC-SAE: Deep Compression Semantic Autoencoder for Faster Diffusion Convergence
58. NeurIPS 2026Dense Cross-Tokenizer Distillation via Semantic Optimal Local Alignment
59. NeurIPS 2026Do Semantic Distance Tests Actually Predict Creativity in Large Language Models?
60. NeurIPS 2026DSSA: Dynamic Sparse Semantic Anchoring for Purifying Protective Perturbations against Diffusion Models
61. NeurIPS 2026Emergent Semantic Role Understanding in Language Models
62. NeurIPS 2026Evidential Semantic Uncertainty Decomposition for Large Language Models
63. NeurIPS 2026Face Deepfake-aware Recovery via Semantic-driven Facial Representation-based Watermarking
64. NeurIPS 2026Forest-Guided Semantic Transport for Label-Supervised Manifold Alignment
65. NeurIPS 2026Hide to Guide: Learning via Semantic Masking
66. NeurIPS 2026Learning a Unified Cross-Model Semantic Dictionary via Gated Bottleneck Sparse Autoencoders
67. NeurIPS 2026Learning Sparse Semantic-Cortical Atoms for Multisubject Naturalistic fMRI Encoding
68. NeurIPS 2026MPDocBench-Parse: Benchmarking Practical Multi-page Document Parsing
69. NeurIPS 2026Off-Policy Evaluation of Large Language Models via Learned Semantic Bottleneck Embeddings
70. NeurIPS 2026Position: Semantic Uncertainty Measures Disagreement, Not Reliability
71. NeurIPS 2026S-EDL: Eliciting Self-Evidence from Sequence Likelihoods for Semantic Calibration of LLMs
72. NeurIPS 2026SCG-HF: Semantic Consistency Grouping for Hierarchical Fusion in Video Emotion Recognition
73. NeurIPS 2026Semantic Freedom Bottleneck for Domain-Generalized Multimodal Face Anti-Spoofing
74. NeurIPS 2026Semantic Search over 9 Million Mathematical Theorems
75. NeurIPS 2026SemMSA: Latent Semantic-Aided Robust Multimodal Sentiment Analysis with Incomplete Data
76. NeurIPS 2026The Locality Cost of Semantic Patch Self-Distillation
77. NeurIPS 2026Uncertainty Quantification for Multimodal Large Language Models with Incoherence-adjusted Semantic Volume
78. NeurIPS 2026UNICOM: Unified Multimodal Modeling via Compressed Continuous Semantic Representations
79. NeurIPS 2026ViCO: A Training Strategy towards Semantic Aware Dynamic High-Resolution

FAQ

How many Semantic Parsing papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

230 in total: 58 in 2023, 53 in 2024, 40 in 2025, 79 in 2026.

How many Semantic Parsing papers are at NeurIPS 2026?

NeurIPS 2026 has 28 Semantic Parsing papers, versus 12 the year before.

How many Semantic Parsing papers are at ICLR 2026?

ICLR 2026 has 9 Semantic Parsing papers, versus 5 the year before.

How many Semantic Parsing papers are at ICML 2026?

ICML 2026 has 12 Semantic Parsing papers, versus 4 the year before.

How many Semantic Parsing papers are at CVPR 2026?

CVPR 2026 has 30 Semantic Parsing papers, versus 19 the year before.

Which conference publishes the most Semantic Parsing papers?

CVPR, with 117 papers from 2023 to 2026.