User Modeling papers, 2023–2026
Preference and behavior modeling
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 335 papers are tagged with this topic.
Key findings
- User Modeling went from 49 papers in 2023 to 142 in 2026, roughly 2.9x in three years.
- NeurIPS publishes the most User Modeling work: 121 papers from 2023 to 2026, 36% of the four-venue total.
- The fastest-growing overlap is with Alignment and Safety: papers tagged with both rose from 1 in 2023 to 26 in 2026.
- Among the 5 topics under Education and HCI, it ranks #1 by 2026 paper count; the fastest grower in the group, UI Understanding, is up 1.8x versus 2.9x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 10 | 16 | 14 | 9 | 49 |
| 2024 | 18 | 12 | 20 | 4 | 54 |
| 2025 | 42 | 17 | 20 | 11 | 90 |
| 2026 | 51 | 40 | 32 | 19 | 142 |
Representative papers
Spread across years and venues so every edition shows up
- NeurIPS 2026BehaviorBench: Modeling Real-World User Decisions from Behavioral Traces
- ICML 2026Eating for a Sustainable Planet: Personalized Sustainable Diet Recommendation via Constraint-Aware Decision-Making Modeling
- ICLR 2026A Scalable Inter-edge Correlation Modeling in CopulaGNN for Link Sign Prediction
- CVPR 2026D-Prism Differentiable Primitives for Structured Dynamic Modeling
- NeurIPS 2025Beyond Node-Centric Modeling: Sketching Signed Networks with Simplicial Complexes
- ICML 2025How Transformers Learn Structured Data: Insights From Hierarchical Filtering
- ICLR 2025Logic-Logit: A Logic-Based Approach to Choice Modeling
- CVPR 2025Bridging Gait Recognition and Large Language Models Sequence Modeling
- NeurIPS 20244DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs
- ICML 2024An amortized approach to non-linear mixed-effects modeling based on neural posterior estimation
- ICLR 2024Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference
- CVPR 2024Steganographic Passport: An Owner and User Verifiable Credential for Deep Model IP Protection Without Retraining
- NeurIPS 2023FairLISA: Fair User Modeling with Limited Sensitive Attributes Information
- ICML 2023dugMatting: Decomposed-Uncertainty-Guided Matting
- ICLR 2023Augmentation Component Analysis: Modeling Similarity via the Augmentation Overlaps
- CVPR 2023BAAM: Monocular 3D Pose and Shape Reconstruction With Bi-Contextual Attention Module and Attention-Guided Modeling
- NeurIPS 2026Causally Structured Differential Network Modeling for Single-Cell Perturbation Prediction
- ICML 2026HyperMLP: An Integrated Perspective for Sequence Modeling
- ICLR 2026Ads that Stick: Near-Optimal Ad Optimization through Psychological Behavior Models
- CVPR 2026Learning Personalized Photographic Style from Pairwise User Preferences
All User Modeling papers
54 papers, page 1 of 2
- CVPR 2024InstructDiffusion: A Generalist Modeling Interface for Vision Tasks
- CVPR 2024Steganographic Passport: An Owner and User Verifiable Credential for Deep Model IP Protection Without Retraining
- CVPR 2024U-VAP: User-specified Visual Appearance Personalization via Decoupled Self Augmentation
- CVPR 2024XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies
- ICLR 2024Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference
- ICLR 2024Conformal Language Modeling
- ICLR 2024Enhancing Neural Training via a Correlated Dynamics Model
- ICLR 2024Future Language Modeling from Temporal Document History
- ICLR 2024Learning Multi-Faceted Prototypical User Interests
- ICLR 2024LLMCarbon: Modeling the End-to-End Carbon Footprint of Large Language Models
- ICLR 2024Modeling state-dependent communication between brain regions with switching nonlinear dynamical systems
- ICLR 2024Representation Deficiency in Masked Language Modeling
- ICLR 2024Tool-Augmented Reward Modeling
- ICLR 2024Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond
- ICLR 2024Turning large language models into cognitive models
- ICLR 2024When should we prefer Decision Transformers for Offline Reinforcement Learning?
- ICML 2024A Persuasive Approach to Combating Misinformation
- ICML 2024An amortized approach to non-linear mixed-effects modeling based on neural posterior estimation
- ICML 2024Better Locally Private Sparse Estimation Given Multiple Samples Per User
- ICML 2024Coactive Learning for Large Language Models using Implicit User Feedback
- ICML 2024Decomposing and Editing Predictions by Modeling Model Computation
- ICML 2024ESM All-Atom: Multi-Scale Protein Language Model for Unified Molecular Modeling
- ICML 2024FAFE: Immune Complex Modeling with Geodesic Distance Loss on Noisy Group Frames
- ICML 2024Fewer Truncations Improve Language Modeling
- ICML 2024GenCO: Generating Diverse Designs with Combinatorial Constraints
- ICML 2024Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling
- ICML 2024Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank
- ICML 2024Improved Bounds for Pure Private Agnostic Learning: Item-Level and User-Level Privacy
- ICML 2024Learning to Play Atari in a World of Tokens
- ICML 2024Modeling Language Tokens as Functionals of Semantic Fields
- ICML 2024PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling
- ICML 2024Partial Multi-View Multi-Label Classification via Semantic Invariance Learning and Prototype Modeling
- ICML 2024Probabilistic Modeling of Interpersonal Coordination Processes
- ICML 2024RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences
- ICML 2024STEER: Assessing the Economic Rationality of Large Language Models
- ICML 2024VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling
- NeurIPS 20244DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs
- NeurIPS 2024Aligning LLM Agents by Learning Latent Preference from User Edits
- NeurIPS 2024Belief-State Query Policies for User-Aligned POMDPs
- NeurIPS 2024Deep Bayesian Active Learning for Preference Modeling in Large Language Models
- NeurIPS 2024Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval
- NeurIPS 2024Explaining Datasets in Words: Statistical Models with Natural Language Parameters
- NeurIPS 2024Improving Context-Aware Preference Modeling for Language Models
- NeurIPS 2024Interpolating Item and User Fairness in Multi-Sided Recommendations
- NeurIPS 2024Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems
- NeurIPS 2024PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models
- NeurIPS 2024Preference Learning of Latent Decision Utilities with a Human-like Model of Preferential Choice
- NeurIPS 2024Queueing Matching Bandits with Preference Feedback
- NeurIPS 2024Text to Blind Motion
- NeurIPS 2024TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series
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FAQ
- How many User Modeling papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
- 335 in total: 49 in 2023, 54 in 2024, 90 in 2025, 142 in 2026.
- How many User Modeling papers are at NeurIPS 2026?
- NeurIPS 2026 has 51 User Modeling papers, versus 42 the year before.
- How many User Modeling papers are at ICLR 2026?
- ICLR 2026 has 40 User Modeling papers, versus 17 the year before.
- How many User Modeling papers are at ICML 2026?
- ICML 2026 has 32 User Modeling papers, versus 20 the year before.
- How many User Modeling papers are at CVPR 2026?
- CVPR 2026 has 19 User Modeling papers, versus 11 the year before.
- Which conference publishes the most User Modeling papers?
- NeurIPS, with 121 papers from 2023 to 2026.