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

82 papers, page 2 of 2

51. NeurIPS 2023Optimized Covariance Design for AB Test on Social Network under Interference
52. NeurIPS 2023ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLP
53. NeurIPS 2023Participatory Personalization in Classification
54. NeurIPS 2023PopSign ASL v1.0: An Isolated American Sign Language Dataset Collected via Smartphones
55. NeurIPS 2023Regret Matching+: (In)Stability and Fast Convergence in Games
56. NeurIPS 2023Resolving the Tug-of-War: A Separation of Communication and Learning in Federated Learning
57. NeurIPS 2023Robust covariance estimation with missing values and cell-wise contamination
58. NeurIPS 2023Scalable Fair Influence Maximization
59. NeurIPS 2023Scan and Snap: Understanding Training Dynamics and Token Composition in 1-layer Transformer
60. NeurIPS 2023Sequential Predictive Two-Sample and Independence Testing
61. NeurIPS 2023SmoothHess: ReLU Network Feature Interactions via Stein's Lemma
62. NeurIPS 2023Social Motion Prediction with Cognitive Hierarchies
63. NeurIPS 2023Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases
64. NeurIPS 2023Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm
65. NeurIPS 2023Stability of Random Forests and Coverage of Random-Forest Prediction Intervals
66. NeurIPS 2023Strategyproof Voting under Correlated Beliefs
67. NeurIPS 2023Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training
68. NeurIPS 2023The Best of Both Worlds in Network Population Games: Reaching Consensus and Convergence to Equilibrium
69. NeurIPS 2023The Distortion of Binomial Voting Defies Expectation
70. NeurIPS 2023The Equivalence of Dynamic and Strategic Stability under Regularized Learning in Games
71. NeurIPS 2023The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation
72. NeurIPS 2023Thin and deep Gaussian processes
73. NeurIPS 2023Towards a fuller understanding of neurons with Clustered Compositional Explanations
74. NeurIPS 2023Towards Better Dynamic Graph Learning: New Architecture and Unified Library
75. NeurIPS 2023Tracr: Compiled Transformers as a Laboratory for Interpretability
76. NeurIPS 2023Trade-off Between Efficiency and Consistency for Removal-based Explanations
77. NeurIPS 2023Transformers are uninterpretable with myopic methods: a case study with bounded Dyck grammars
78. NeurIPS 2023Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships
79. NeurIPS 2023Triple Eagle: Simple, Fast and Practical Budget-Feasible Mechanisms
80. NeurIPS 2023Uncovering and Quantifying Social Biases in Code Generation
81. NeurIPS 2023Visual Programming for Step-by-Step Text-to-Image Generation and Evaluation
82. NeurIPS 2023What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization

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.