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

337 papers, page 1 of 7

1. ICML 2025"Who experiences large model decay and why?" A Hierarchical Framework for Diagnosing Heterogeneous Performance Drift
2. ICML 2025(How) Can Transformers Predict Pseudo-Random Numbers?
3. ICML 2025(How) Do Language Models Track State?
4. ICML 2025$S^2$FGL: Spatial Spectral Federated Graph Learning
5. ICML 2025A Checks-and-Balances Framework for Context-Aware Ethical AI Alignment
6. ICML 2025A Lens into Interpretable Transformer Mistakes via Semantic Dependency
7. ICML 2025A Mathematical Framework for AI-Human Integration in Work
8. ICML 2025A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability
9. ICML 2025A Non-Asymptotic Convergent Analysis for Scored-Based Graph Generative Model via a System of Stochastic Differential Equations
10. ICML 2025A Parameter-Free and Near-Optimal Zeroth-Order Algorithm for Stochastic Convex Optimization
11. ICML 2025A Unified Approach to Routing and Cascading for LLMs
12. ICML 2025A Versatile Influence Function for Data Attribution with Non-Decomposable Loss
13. ICML 2025Accelerating Spectral Clustering under Fairness Constraints
14. ICML 2025Accurate Identification of Communication Between Multiple Interacting Neural Populations
15. ICML 2025Activation Space Interventions Can Be Transferred Between Large Language Models
16. ICML 2025Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization
17. ICML 2025Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets
18. ICML 2025Adversarial Inception Backdoor Attacks against Reinforcement Learning
19. ICML 2025Adversaries Can Misuse Combinations of Safe Models
20. ICML 2025Algorithmic Recourse for Long-Term Improvement
21. ICML 2025An analytic theory of creativity in convolutional diffusion models
22. ICML 2025An Efficient Private GPT Never Autoregressively Decodes
23. ICML 2025An End-to-End Model for Logits-Based Large Language Models Watermarking
24. ICML 2025Analyze Feature Flow to Enhance Interpretation and Steering in Language Models
25. ICML 2025Antidote: Post-fine-tuning Safety Alignment for Large Language Models against Harmful Fine-tuning Attack
26. ICML 2025Approximate Differential Privacy of the $\ell_2$ Mechanism
27. ICML 2025Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models
28. ICML 2025Are Sparse Autoencoders Useful? A Case Study in Sparse Probing
29. ICML 2025Attributes Shape the Embedding Space of Face Recognition Models
30. ICML 2025Auditing $f$-differential privacy in one run
31. ICML 2025Auditing Prompt Caching in Language Model APIs
32. ICML 2025AutoAdvExBench: Benchmarking Autonomous Exploitation of Adversarial Example Defenses
33. ICML 2025Automatically Interpreting Millions of Features in Large Language Models
34. ICML 2025Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts
35. ICML 2025AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders
36. ICML 2025B-score: Detecting biases in large language models using response history
37. ICML 2025BaxBench: Can LLMs Generate Correct and Secure Backends?
38. ICML 2025Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence
39. ICML 2025Beyond Log-Concavity and Score Regularity: Improved Convergence Bounds for Score-Based Generative Models in W2-distance
40. ICML 2025Beyond Topological Self-Explainable GNNs: A Formal Explainability Perspective
41. ICML 2025BiMark: Unbiased Multilayer Watermarking for Large Language Models
42. ICML 2025Black-Box Adversarial Attacks on LLM-Based Code Completion
43. ICML 2025BOPO: Neural Combinatorial Optimization via Best-anchored and Objective-guided Preference Optimization
44. ICML 2025Breaking the $n^{1.5}$ Additive Error Barrier for Private and Efficient Graph Sparsification via Private Expander Decomposition
45. ICML 2025Breaking the Quadratic Barrier: Robust Cardinality Sketches for Adaptive Queries
46. ICML 2025Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging
47. ICML 2025Byzantine-Resilient Federated Alternating Gradient Descent and Minimization for Partly-Decoupled Low Rank Matrix Learning
48. ICML 2025Calibrated Language Models and How to Find Them with Label Smoothing
49. ICML 2025CAN: Leveraging Clients As Navigators for Generative Replay in Federated Continual Learning
50. ICML 2025Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMs

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.