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

3,411 papers, page 35 of 69

1701. ICML 2025Beyond Log-Concavity and Score Regularity: Improved Convergence Bounds for Score-Based Generative Models in W2-distance
1702. ICML 2025Beyond Topological Self-Explainable GNNs: A Formal Explainability Perspective
1703. ICML 2025BiMark: Unbiased Multilayer Watermarking for Large Language Models
1704. ICML 2025Black-Box Adversarial Attacks on LLM-Based Code Completion
1705. ICML 2025BOPO: Neural Combinatorial Optimization via Best-anchored and Objective-guided Preference Optimization
1706. ICML 2025Breaking the $n^{1.5}$ Additive Error Barrier for Private and Efficient Graph Sparsification via Private Expander Decomposition
1707. ICML 2025Breaking the Quadratic Barrier: Robust Cardinality Sketches for Adaptive Queries
1708. ICML 2025Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging
1709. ICML 2025Byzantine-Resilient Federated Alternating Gradient Descent and Minimization for Partly-Decoupled Low Rank Matrix Learning
1710. ICML 2025Calibrated Language Models and How to Find Them with Label Smoothing
1711. ICML 2025CAN: Leveraging Clients As Navigators for Generative Replay in Federated Continual Learning
1712. ICML 2025Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMs
1713. ICML 2025Cape: Context-Aware Prompt Perturbation Mechanism with Differential Privacy
1714. ICML 2025CASE-Bench: Context-Aware SafEty Benchmark for Large Language Models
1715. ICML 2025Categorical Distributional Reinforcement Learning with Kullback-Leibler Divergence: Convergence and Asymptotics
1716. ICML 2025Categorical Schrödinger Bridge Matching
1717. ICML 2025Certification for Differentially Private Prediction in Gradient-Based Training
1718. ICML 2025Certified Unlearning for Neural Networks
1719. ICML 2025Circumventing Backdoor Space via Weight Symmetry
1720. ICML 2025Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off
1721. ICML 2025Clone-Robust AI Alignment
1722. ICML 2025CoDy: Counterfactual Explainers for Dynamic Graphs
1723. ICML 2025Compelling ReLU Networks to Exhibit Exponentially Many Linear Regions at Initialization and During Training
1724. ICML 2025Compute Optimal Inference and Provable Amortisation Gap in Sparse Autoencoders
1725. ICML 2025Computing Voting Rules with Improvement Feedback
1726. ICML 2025Concept-Based Unsupervised Domain Adaptation
1727. ICML 2025Confidential Guardian: Cryptographically Prohibiting the Abuse of Model Abstention
1728. ICML 2025Constrain Alignment with Sparse Autoencoders
1729. ICML 2025Constrained Belief Updates Explain Geometric Structures in Transformer Representations
1730. ICML 2025Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion
1731. ICML 2025Correlated Errors in Large Language Models
1732. ICML 2025Counterfactual Voting Adjustment for Quality Assessment and Fairer Voting in Online Platforms with Helpfulness Evaluation
1733. ICML 2025Counting in Small Transformers: The Delicate Interplay between Attention and Feed-Forward Layers
1734. ICML 2025Data-driven Design of Randomized Control Trials with Guaranteed Treatment Effects
1735. ICML 2025De-AntiFake: Rethinking the Protective Perturbations Against Voice Cloning Attacks
1736. ICML 2025Deep Linear Network Training Dynamics from Random Initialization: Data, Width, Depth, and Hyperparameter Transfer
1737. ICML 2025Detecting Strategic Deception with Linear Probes
1738. ICML 2025Differential Privacy Under Class Imbalance: Methods and Empirical Insights
1739. ICML 2025Differentially Private Analysis for Binary Response Models: Optimality, Estimation, and Inference
1740. ICML 2025Differentially Private Boxplots
1741. ICML 2025Differentially Private Federated $k$-Means Clustering with Server-Side Data
1742. ICML 2025Differentially Private Space-Efficient Algorithms for Counting Distinct Elements in the Turnstile Model
1743. ICML 2025Diffusion models for Gaussian distributions: Exact solutions and Wasserstein errors
1744. ICML 2025Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain
1745. ICML 2025Direct Density Ratio Optimization: A Statistically Consistent Approach to Aligning Large Language Models
1746. ICML 2025DIS-CO: Discovering Copyrighted Content in VLMs Training Data
1747. ICML 2025Discovering Spoofing Attempts on Language Model Watermarks
1748. ICML 2025Disparate Conditional Prediction in Multiclass Classifiers
1749. ICML 2025Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies
1750. ICML 2025Distributed Differentially Private Data Analytics via Secure Sketching

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.