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

1,164 papers, page 16 of 24

751. NeurIPS 2025Dense SAE Latents Are Features, Not Bugs
752. NeurIPS 2025DePass: Unified Feature Attributing by Simple Decomposed Forward Pass
753. NeurIPS 2025DepthVanish: Optimizing Adversarial Interval Structures for Stereo-Depth-Invisible Patches
754. NeurIPS 2025Detecting Generated Images by Fitting Natural Image Distributions
755. NeurIPS 2025Detecting High-Stakes Interactions with Activation Probes
756. NeurIPS 2025Detoxifying Large Language Models via Autoregressive Reward Guided Representation Editing
757. NeurIPS 2025DiCoFlex: Model-Agnostic Diverse Counterfactuals with Flexible Control
758. NeurIPS 2025DictPFL: Efficient and Private Federated Learning on Encrypted Gradients
759. NeurIPS 2025DiffBreak: Is Diffusion-Based Purification Robust?
760. NeurIPS 2025Differentiable Sparsity via $D$-Gating: Simple and Versatile Structured Penalization
761. NeurIPS 2025Differential Privacy on Fully Dynamic Streams
762. NeurIPS 2025Differentially Private Bilevel Optimization: Efficient Algorithms with Near-Optimal Rates
763. NeurIPS 2025Differentially Private Gomory-Hu Trees
764. NeurIPS 2025Differentially Private High-dimensional Variable Selection via Integer Programming
765. NeurIPS 2025Differentially Private Quantiles with Smaller Error
766. NeurIPS 2025Differentially Private Relational Learning with Entity-level Privacy Guarantees
767. NeurIPS 2025Diffusion Models and the Manifold Hypothesis: Log-Domain Smoothing is Geometry Adaptive
768. NeurIPS 2025Dimensionality Mismatch Between Brains and Artificial Neural Networks
769. NeurIPS 2025Direct Alignment with Heterogeneous Preferences
770. NeurIPS 2025Discovering Opinion Intervals from Conflicts in Signed Graphs
771. NeurIPS 2025Discretization-free Multicalibration through Loss Minimization over Tree Ensembles
772. NeurIPS 2025Disentangling Superpositions: Interpretable Brain Encoding Model with Sparse Concept Atoms
773. NeurIPS 2025Distillation Robustifies Unlearning
774. NeurIPS 2025DKDR: Dynamic Knowledge Distillation for Reliability in Federated Learning
775. NeurIPS 2025Do different prompting methods yield a common task representation in language models?
776. NeurIPS 2025Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness
777. NeurIPS 2025Does Object Binding Naturally Emerge in Large Pretrained Vision Transformers?
778. NeurIPS 2025Does Representation Guarantee Welfare?
779. NeurIPS 2025Don’t Give Up on Democratizing AI for the Wrong Reasons
780. NeurIPS 2025Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the Role of Model Complexity
781. NeurIPS 2025DPA: A one-stop metric to measure bias amplification in classification datasets
782. NeurIPS 2025DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents
783. NeurIPS 2025DUAL: Learning Diverse Kernels for Aggregated Two-sample and Independence Testing
784. NeurIPS 2025DualOptim: Enhancing Efficacy and Stability in Machine Unlearning with Dual Optimizers
785. NeurIPS 2025E2E-VGuard: Adversarial Prevention for Production LLM-based End-To-End Speech Synthesis
786. NeurIPS 2025EAP-GP: Mitigating Saturation Effect in Gradient-based Automated Circuit Identification
787. NeurIPS 2025EAReranker: Efficient Embedding Adequacy Assessment for Retrieval Augmented Generation
788. NeurIPS 2025Efficient Algorithms for Robust and Partial Semi-Discrete Optimal Transport
789. NeurIPS 2025Efficient Fairness-Performance Pareto Front Computation
790. NeurIPS 2025Efficient Utility-Preserving Machine Unlearning with Implicit Gradient Surgery
791. NeurIPS 2025ElliCE: Efficient and Provably Robust Algorithmic Recourse via the Rashomon Sets
792. NeurIPS 2025Emergence and Evolution of Interpretable Concepts in Diffusion Models
793. NeurIPS 2025Emergent Risk Awareness in Rational Agents under Resource Constraints
794. NeurIPS 2025Empowering Decision Trees via Shape Function Branching
795. NeurIPS 2025Enhancing Interpretability in Deep Reinforcement Learning through Semantic Clustering
796. NeurIPS 2025Epistemic Uncertainty for Generated Image Detection
797. NeurIPS 2025Erasing Conceptual Knowledge from Language Models
798. NeurIPS 2025ErrorTrace: A Black-Box Traceability Mechanism Based on Model Family Error Space
799. NeurIPS 2025Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations?
800. NeurIPS 2025Estimation of Treatment Effects in Extreme and Unobserved Data

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.