Social aspects · accountability transparency and interpretability papers, 2023–2026

Key findings

• Social aspects · accountability transparency and interpretability went from 301 papers in 2023 to 1,357 in 2026, roughly 4.5x in three years.
• NeurIPS publishes the most Social aspects · accountability transparency and interpretability work: 1,275 papers from 2023 to 2026, 37% of the four-venue total.
• The fastest-growing overlap is with Social aspects · privacy: papers tagged with both rose from 0 in 2023 to 93 in 2026.
• Among the 5 topics under Alignment and Responsible AI, it ranks #2 by 2026 paper count; the fastest grower in the group, Social aspects · safety, is up 93x versus 4.5x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026A Unifying Perspective on Language Model Interpretability
• ICML 2026$\texttt{PRISM}$:A 3D Probabilistic Neural Representation for Interpretable Shape Modeling
• ICLR 2026Automated Interpretability Metrics Do Not Distinguish Trained and Random Transformers
• CVPR 2026Beyond Matching to Tiles Bridging Unaligned Aerial and Satellite Views
• NeurIPS 2025$\mathcal{X}^2$-DFD: A framework for e$\mathcal{X}$plainable and e$\mathcal{X}$tendable Deepfake Detection
• ICML 2025(How) Can Transformers Predict Pseudo-Random Numbers?
• ICLR 2025Adaptive Transformer Programs: Bridging the Gap Between Performance and Interpretability in Transformers
• CVPR 2025Attribute-formed Class-specific Concept Space: Endowing Language Bottleneck Model with Better Interpretability and Scalability
• NeurIPS 20242D-OOB: Attributing Data Contribution Through Joint Valuation Framework
• ICML 2024Attention Meets Post-hoc Interpretability: A Mathematical Perspective
• ICLR 2024"What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection
• CVPR 2024Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation
• NeurIPS 2023(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability
• ICML 2023A Modern Look at the Relationship between Sharpness and Generalization
• ICLR 2023Deep Learning From Crowdsourced Labels: Coupled Cross-Entropy Minimization, Identifiability, and Regularization
• CVPR 2023Analyzing and Diagnosing Pose Estimation With Attributions
• NeurIPS 2026AdKnob: Ad Intensity Control and Labeling for LLM-Native Advertising
• ICML 2026$\texttt{ShaplEIG}$: Bayesian Experimental Design for Shapley Value Estimation
• ICLR 2026Bandits with Single-Peaked Preferences and Limited Resources
• CVPR 2026IEBGLAn Interpretability-Enhanced Brain Graph Learning Framework with LLM-Instructed Topology and

All Social aspects · accountability transparency and interpretability papers

1,275 papers, page 22 of 26

1051. NeurIPS 2024Language Model as Visual Explainer
1052. NeurIPS 2024Learnability of high-dimensional targets by two-parameter models and gradient flow
1053. NeurIPS 2024Learning Cortico-Muscular Dependence through Orthonormal Decomposition of Density Ratios
1054. NeurIPS 2024Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks
1055. NeurIPS 2024Learning Place Cell Representations and Context-Dependent Remapping
1056. NeurIPS 2024Learning Social Welfare Functions
1057. NeurIPS 2024Learning the Latent Causal Structure for Modeling Label Noise
1058. NeurIPS 2024Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks
1059. NeurIPS 2024Learning to Understand: Identifying Interactions via the Möbius Transform
1060. NeurIPS 2024Learning-Augmented Approximation Algorithms for Maximum Cut and Related Problems
1061. NeurIPS 2024LG-CAV: Train Any Concept Activation Vector with Language Guidance
1062. NeurIPS 2024Linear Transformers are Versatile In-Context Learners
1063. NeurIPS 2024Linking In-context Learning in Transformers to Human Episodic Memory
1064. NeurIPS 2024Listenable Maps for Zero-Shot Audio Classifiers
1065. NeurIPS 2024LLM Circuit Analyses Are Consistent Across Training and Scale
1066. NeurIPS 2024Local to Global: Learning Dynamics and Effect of Initialization for Transformers
1067. NeurIPS 2024Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie Stimuli
1068. NeurIPS 2024MambaLRP: Explaining Selective State Space Sequence Models
1069. NeurIPS 2024Measuring Per-Unit Interpretability at Scale Without Humans
1070. NeurIPS 2024Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models
1071. NeurIPS 2024MeLLoC: Lossless Compression with High-order Mechanism Learning
1072. NeurIPS 2024Microstructures and Accuracy of Graph Recall by Large Language Models
1073. NeurIPS 2024Mixed Dynamics In Linear Networks: Unifying the Lazy and Active Regimes
1074. NeurIPS 2024Model Based Inference of Synaptic Plasticity Rules
1075. NeurIPS 2024Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks
1076. NeurIPS 2024Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope Theory
1077. NeurIPS 2024Most Influential Subset Selection: Challenges, Promises, and Beyond
1078. NeurIPS 2024Motif-oriented influence maximization for viral marketing in large-scale social networks
1079. NeurIPS 2024MTGS: A Novel Framework for Multi-Person Temporal Gaze Following and Social Gaze Prediction
1080. NeurIPS 2024Multi-Winner Reconfiguration
1081. NeurIPS 2024Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization
1082. NeurIPS 2024Navigating the Effect of Parametrization for Dimensionality Reduction
1083. NeurIPS 2024Neural Concept Binder
1084. NeurIPS 2024No Free Delivery Service: Epistemic limits of passive data collection in complex social systems
1085. NeurIPS 2024Non-Euclidean Mixture Model for Social Network Embedding
1086. NeurIPS 2024On Sparse Canonical Correlation Analysis
1087. NeurIPS 2024On the cohesion and separability of average-link for hierarchical agglomerative clustering
1088. NeurIPS 2024On the Complexity of Learning Sparse Functions with Statistical and Gradient Queries
1089. NeurIPS 2024On the Minimax Regret for Contextual Linear Bandits and Multi-Armed Bandits with Expert Advice
1090. NeurIPS 2024On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Games
1091. NeurIPS 2024On the Stability and Generalization of Meta-Learning
1092. NeurIPS 2024One Sample Fits All: Approximating All Probabilistic Values Simultaneously and Efficiently
1093. NeurIPS 2024Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?
1094. NeurIPS 2024Optimal ablation for interpretability
1095. NeurIPS 2024Optimal Multiclass U-Calibration Error and Beyond
1096. NeurIPS 2024Parameter Symmetry and Noise Equilibrium of Stochastic Gradient Descent
1097. NeurIPS 2024PEACE: A Dataset of Pharmaceutical Care for Cancer Pain Analgesia Evaluation and Medication Decision
1098. NeurIPS 2024Pedestrian-Centric 3D Pre-collision Pose and Shape Estimation from Dashcam Perspective
1099. NeurIPS 2024Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs
1100. NeurIPS 2024Pre-trained Large Language Models Use Fourier Features to Compute Addition

FAQ

How many Social aspects · accountability transparency and interpretability papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

3,411 in total: 301 in 2023, 589 in 2024, 1,164 in 2025, 1,357 in 2026.

How many Social aspects · accountability transparency and interpretability papers are at NeurIPS 2026?

NeurIPS 2026 has 416 Social aspects · accountability transparency and interpretability papers, versus 522 the year before.

How many Social aspects · accountability transparency and interpretability papers are at ICLR 2026?

ICLR 2026 has 292 Social aspects · accountability transparency and interpretability papers, versus 211 the year before.

How many Social aspects · accountability transparency and interpretability papers are at ICML 2026?

ICML 2026 has 541 Social aspects · accountability transparency and interpretability papers, versus 337 the year before.

How many Social aspects · accountability transparency and interpretability papers are at CVPR 2026?

CVPR 2026 has 108 Social aspects · accountability transparency and interpretability papers, versus 94 the year before.

Which conference publishes the most Social aspects · accountability transparency and interpretability papers?

NeurIPS, with 1,275 papers from 2023 to 2026.