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 1 of 2

1. NeurIPS 2023(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability
2. NeurIPS 2023[Re] Hierarchical Shrinkage: Improving the Accuracy and Interpretability of Tree-Based Methods
3. NeurIPS 2023[Re] VAE Approximation Error: ELBO and Exponential Families
4. NeurIPS 2023A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation
5. NeurIPS 2023A normative theory of social conflict
6. NeurIPS 2023A Robust and Opponent-Aware League Training Method for StarCraft II
7. NeurIPS 2023Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples
8. NeurIPS 2023Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics
9. NeurIPS 2023Auxiliary Losses for Learning Generalizable Concept-based Models
10. NeurIPS 2023BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic Parsing
11. NeurIPS 2023Bridging Discrete and Backpropagation: Straight-Through and Beyond
12. NeurIPS 2023Core-sets for Fair and Diverse Data Summarization
13. NeurIPS 2023D-Separation for Causal Self-Explanation
14. NeurIPS 2023D$^2$CSG: Unsupervised Learning of Compact CSG Trees with Dual Complements and Dropouts
15. NeurIPS 2023DISCOVER: Making Vision Networks Interpretable via Competition and Dissection
16. NeurIPS 2023Discriminative Feature Attributions: Bridging Post Hoc Explainability and Inherent Interpretability
17. NeurIPS 2023Disentangling Cognitive Diagnosis with Limited Exercise Labels
18. NeurIPS 2023Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning
19. NeurIPS 2023Double Auctions with Two-sided Bandit Feedback
20. NeurIPS 2023Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers
21. NeurIPS 2023Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency
22. NeurIPS 2023Epidemic Learning: Boosting Decentralized Learning with Randomized Communication
23. NeurIPS 2023Error Discovery By Clustering Influence Embeddings
24. NeurIPS 2023Evaluating the Moral Beliefs Encoded in LLMs
25. NeurIPS 2023Explainable Brain Age Prediction using coVariance Neural Networks
26. NeurIPS 2023Exploring and Interacting with the Set of Good Sparse Generalized Additive Models
27. NeurIPS 2023Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach
28. NeurIPS 2023Fast and Simple Spectral Clustering in Theory and Practice
29. NeurIPS 2023FIND: A Function Description Benchmark for Evaluating Interpretability Methods
30. NeurIPS 2023Finite Population Regression Adjustment and Non-asymptotic Guarantees for Treatment Effect Estimation
31. NeurIPS 2023Gaussian Process Probes (GPP) for Uncertainty-Aware Probing
32. NeurIPS 2023Generalized equivalences between subsampling and ridge regularization
33. NeurIPS 2023GLIME: General, Stable and Local LIME Explanation
34. NeurIPS 2023How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model
35. NeurIPS 2023Human-Guided Complexity-Controlled Abstractions
36. NeurIPS 2023Improved Bayes Risk Can Yield Reduced Social Welfare Under Competition
37. NeurIPS 2023Initialization-Dependent Sample Complexity of Linear Predictors and Neural Networks
38. NeurIPS 2023Interpretability at Scale: Identifying Causal Mechanisms in Alpaca
39. NeurIPS 2023LEACE: Perfect linear concept erasure in closed form
40. NeurIPS 2023Maximum State Entropy Exploration using Predecessor and Successor Representations
41. NeurIPS 2023Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension
42. NeurIPS 2023Offline Minimax Soft-Q-learning Under Realizability and Partial Coverage
43. NeurIPS 2023On Masked Pre-training and the Marginal Likelihood
44. NeurIPS 2023On the Identifiability and Interpretability of Gaussian Process Models
45. NeurIPS 2023On the impact of activation and normalization in obtaining isometric embeddings at initialization
46. NeurIPS 2023On the Interplay between Social Welfare and Tractability of Equilibria
47. NeurIPS 2023On the Overlooked Pitfalls of Weight Decay and How to Mitigate Them: A Gradient-Norm Perspective
48. NeurIPS 2023On the Relationship Between Relevance and Conflict in Online Social Link Recommendations
49. NeurIPS 2023Online (Multinomial) Logistic Bandit: Improved Regret and Constant Computation Cost
50. NeurIPS 2023Online Corrupted User Detection and Regret Minimization

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.