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

1,124 papers, page 14 of 23

651. ICML 2025FairICP: Encouraging Equalized Odds via Inverse Conditional Permutation
652. ICML 2025Fairness on Principal Stratum: A New Perspective on Counterfactual Fairness
653. ICML 2025Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective
654. ICML 2025Fast and Provable Algorithms for Sparse PCA with Improved Sample Complexity
655. ICML 2025Fast Estimation of Partial Dependence Functions using Trees
656. ICML 2025Fast Exact Unlearning for In-Context Learning Data for LLMs
657. ICML 2025Faster Rates for Private Adversarial Bandits
658. ICML 2025FDGen: A Fairness-Aware Graph Generation Model
659. ICML 2025FEAT-KD: Learning Concise Representations for Single and Multi-Target Regression via TabNet Knowledge Distillation
660. ICML 2025Field Matching: an Electrostatic Paradigm to Generate and Transfer Data
661. ICML 2025Flow Matching for Denoised Social Recommendation
662. ICML 2025FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models
663. ICML 2025Foundation Molecular Grammar: Multi-Modal Foundation Models Induce Interpretable Molecular Graph Languages
664. ICML 2025From Black Boxes to Transparent Minds: Evaluating and Enhancing the Theory of Mind in Multimodal Large Language Models
665. ICML 2025From Individual Experience to Collective Evidence: A Reporting-Based Framework for Identifying Systemic Harms
666. ICML 2025From Logits to Hierarchies: Hierarchical Clustering made Simple
667. ICML 2025From Mechanistic Interpretability to Mechanistic Biology: Training, Evaluating, and Interpreting Sparse Autoencoders on Protein Language Models
668. ICML 2025From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection
669. ICML 2025Fusing Reward and Dueling Feedback in Stochastic Bandits
670. ICML 2025GaussMarker: Robust Dual-Domain Watermark for Diffusion Models
671. ICML 2025GEFA: A General Feature Attribution Framework Using Proxy Gradient Estimation
672. ICML 2025Generative Social Choice: The Next Generation
673. ICML 2025GHOST: Generalizable One-Shot Federated Graph Learning with Proxy-Based Topology Knowledge Retention
674. ICML 2025Going Deeper into Locally Differentially Private Graph Neural Networks
675. ICML 2025Gradient Inversion of Multimodal Models
676. ICML 2025GRAIL: Graph Edit Distance and Node Alignment using LLM-Generated Code
677. ICML 2025Graph Inverse Style Transfer for Counterfactual Explainability
678. ICML 2025Great Models Think Alike and this Undermines AI Oversight
679. ICML 2025Hardware and Software Platform Inference
680. ICML 2025Heads up! Large Language Models Can Perform Tasks Without Your Instruction via Selective Attention Head Masking
681. ICML 2025How Do Transformers Learn Variable Binding in Symbolic Programs?
682. ICML 2025How to Evaluate and Mitigate IP Infringement in Visual Generative AI?
683. ICML 2025How Transformers Learn Regular Language Recognition: A Theoretical Study on Training Dynamics and Implicit Bias
684. ICML 2025Identifying and Understanding Cross-Class Features in Adversarial Training
685. ICML 2025Improving LLM Safety Alignment with Dual-Objective Optimization
686. ICML 2025Improving Memory Efficiency for Training KANs via Meta Learning
687. ICML 2025Improving Out-of-Distribution Detection via Dynamic Covariance Calibration
688. ICML 2025Improving Out-of-Distribution Detection with Markov Logic Networks
689. ICML 2025In-Context Linear Regression Demystified: Training Dynamics and Mechanistic Interpretability of Multi-Head Softmax Attention
690. ICML 2025Inducing, Detecting and Characterising Neural Modules: A Pipeline for Functional Interpretability in Reinforcement Learning
691. ICML 2025InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory
692. ICML 2025Information Bottleneck-guided MLPs for Robust Spatial-temporal Forecasting
693. ICML 2025Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors
694. ICML 2025Interpreting CLIP with Hierarchical Sparse Autoencoders
695. ICML 2025Jacobian Sparse Autoencoders: Sparsify Computations, Not Just Activations
696. ICML 2025Janus: Dual-Server Multi-Round Secure Aggregation with Verifiability for Federated Learning
697. ICML 2025Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning
698. ICML 2025Kandinsky Conformal Prediction: Beyond Class- and Covariate-Conditional Coverage
699. ICML 2025Kona: An Efficient Privacy-Preservation Framework for KNN Classification by Communication Optimization
700. ICML 2025LapSum - One Method to Differentiate Them All: Ranking, Sorting and Top-k Selection

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.