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 53 of 69

2601. CVPR 2024SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples
2602. CVPR 2024SpiderMatch: 3D Shape Matching with Global Optimality and Geometric Consistency
2603. CVPR 2024Steganographic Passport: An Owner and User Verifiable Credential for Deep Model IP Protection Without Retraining
2604. CVPR 2024SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering
2605. CVPR 2024Synergistic Global-space Camera and Human Reconstruction from Videos
2606. CVPR 2024SynSP: Synergy of Smoothness and Precision in Pose Sequences Refinement
2607. CVPR 2024Theoretically Achieving Continuous Representation of Oriented Bounding Boxes
2608. CVPR 2024Towards Accurate and Robust Architectures via Neural Architecture Search
2609. CVPR 2024Towards Automatic Power Battery Detection: New Challenge Benchmark Dataset and Baseline
2610. CVPR 2024TurboSL: Dense Accurate and Fast 3D by Neural Inverse Structured Light
2611. CVPR 2024UFORecon: Generalizable Sparse-View Surface Reconstruction from Arbitrary and Unfavorable Sets
2612. CVPR 2024Uncovering What Why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly
2613. CVPR 2024Unifying Automatic and Interactive Matting with Pretrained ViTs
2614. CVPR 2024Unifying Correspondence Pose and NeRF for Generalized Pose-Free Novel View Synthesis
2615. CVPR 2024Unifying Top-down and Bottom-up Scanpath Prediction Using Transformers
2616. CVPR 2024Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning
2617. CVPR 2024VAREN: Very Accurate and Realistic Equine Network
2618. CVPR 2024VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning
2619. CVPR 2024WateRF: Robust Watermarks in Radiance Fields for Protection of Copyrights
2620. CVPR 2024WWW: A Unified Framework for Explaining What Where and Why of Neural Networks by Interpretation of Neuron Concepts
2621. ICLR 2024"What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection
2622. ICLR 2024A Benchmark Study on Calibration
2623. ICLR 2024A path-norm toolkit for modern networks: consequences, promises and challenges
2624. ICLR 2024A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis
2625. ICLR 2024AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction
2626. ICLR 2024Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models
2627. ICLR 2024Beating Price of Anarchy and Gradient Descent without Regret in Potential Games
2628. ICLR 2024Benchmarking and Improving Generator-Validator Consistency of Language Models
2629. ICLR 2024Benign Overfitting and Grokking in ReLU Networks for XOR Cluster Data
2630. ICLR 2024Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders
2631. ICLR 2024Causality-Inspired Spatial-Temporal Explanations for Dynamic Graph Neural Networks
2632. ICLR 2024CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis
2633. ICLR 2024Circuit Component Reuse Across Tasks in Transformer Language Models
2634. ICLR 2024Compositional Preference Models for Aligning LMs
2635. ICLR 2024CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity
2636. ICLR 2024Demystifying Embedding Spaces using Large Language Models
2637. ICLR 2024Demystifying Linear MDPs and Novel Dynamics Aggregation Framework
2638. ICLR 2024Dichotomy of Early and Late Phase Implicit Biases Can Provably Induce Grokking
2639. ICLR 2024Distributional Preference Learning: Understanding and Accounting for Hidden Context in RLHF
2640. ICLR 2024Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
2641. ICLR 2024EX-Graph: A Pioneering Dataset Bridging Ethereum and X
2642. ICLR 2024Explaining Kernel Clustering via Decision Trees
2643. ICLR 2024Exploring the cloud of feature interaction scores in a Rashomon set
2644. ICLR 2024Faithful Vision-Language Interpretation via Concept Bottleneck Models
2645. ICLR 2024Faster Approximation of Probabilistic and Distributional Values via Least Squares
2646. ICLR 2024FedImpro: Measuring and Improving Client Update in Federated Learning
2647. ICLR 2024Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking
2648. ICLR 2024Function Vectors in Large Language Models
2649. ICLR 2024GNNBoundary: Towards Explaining Graph Neural Networks through the Lens of Decision Boundaries
2650. ICLR 2024GOAt: Explaining Graph Neural Networks via Graph Output Attribution

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.