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

1,124 papers, page 1 of 23

1. ICML 2026*MemPot*: Defend Against Memory Extraction Attack with Optimized Honeypots
2. ICML 2026$\texttt{PRISM}$:A 3D Probabilistic Neural Representation for Interpretable Shape Modeling
3. ICML 2026$\texttt{ShaplEIG}$: Bayesian Experimental Design for Shapley Value Estimation
4. ICML 2026A Behavioural and Representational Evaluation of Goal-Directedness in Language Model Agents
5. ICML 2026A Close Look at Negative Label Guided Out-of-distribution Detection in Pre-trained Vision-Language Models
6. ICML 2026A Decision-Theoretic View of Test-Time Training: When, How Far, and Which Directions to Adapt
7. ICML 2026A Distributional View for Visual Mechanistic Interpretability: KL-Minimal Soft-Constraint Principle
8. ICML 2026A Formal Comparison Between Chain of Thought and Latent Thought
9. ICML 2026A Game-Theoretic Framework for Measuring and Explaining Metric Compatibility in Fair Machine Learning
10. ICML 2026A Geometric Analysis of Small-sized Language Model Hallucinations
11. ICML 2026A Graphop Analysis of Graph Neural Networks on Sparse Graphs: Generalization and Universal Approximation
12. ICML 2026A Positive Case for Faithfulness: Explanations Help Predict Model Behavior
13. ICML 2026A Strictly Proper Scoring Rule and a Calibration Metric for Interval-Censored Data Analysis
14. ICML 2026A Theory of Data Acquisition and Pricing at Scale
15. ICML 2026A Unified Framework for Diffusion Model Unlearning with f-Divergence
16. ICML 2026ABC-Bench: An Agentic Bio-Capabilities Benchmark for Biosecurity
17. ICML 2026Accuracy-First Rényi Differential Privacy and Post-Processing Immunity
18. ICML 2026Acoustic Interference: A New Paradigm Weaponizing Acoustic Latent Semantic for Universal Jailbreak against Large Audio Language Models
19. ICML 2026Activation Oracles: Training and Evaluating LLMs as General-Purpose Activation Explainers
20. ICML 2026Activation with Intrinsic-Extrinsic Consensus
21. ICML 2026Active Tabular Augmentation via Policy-Guided Diffusion Inpainting
22. ICML 2026Adalina: Adaptive Linear Approximation for the Shapley Value and Beyond
23. ICML 2026Adaptive Probe-based Steering for Robust LLM Jailbreaking
24. ICML 2026Adaptively Robust Resettable Streaming
25. ICML 2026AdaRoPE: Not All Attention Heads Should Rotate and Scale Equally
26. ICML 2026AdaSCALE: Adaptive Scaling for OOD Detection
27. ICML 2026AdLift: Lifting Adversarial Perturbations to Safeguard 3D Gaussian Splatting Assets Against Instruction-Driven Editing
28. ICML 2026Adversarial Attack and Defense for Denoising Diffusion Sampling
29. ICML 2026Adversarial Vulnerability from Interference Between Features in Superposition
30. ICML 2026Agentic Confidence Calibration
31. ICML 2026Algorithmic Recourse of In-Context Learning for Tabular Data
32. ICML 2026AlgoTrace: Algorithmic Primitives and Compositional Geometry of Reasoning in Language Models
33. ICML 2026Alignment Risks from Capability-Seeking RL Training
34. ICML 2026Alignment Tampering: How Reinforcement Learning from Human Feedback Is Exploited to Optimize Misaligned Biases
35. ICML 2026AliMark: Enhancing Robustness of Sentence-Level Watermarking Against Text Paraphrasing
36. ICML 2026All Circuits Lead to Rome: Rethinking Functional Anisotropy in Circuit and Sheaf Discovery for LLMs
37. ICML 2026Ambiguous Strategic Classification
38. ICML 2026An Empirical Study on the Resilience of Partial Merging to Model Clone Attacks
39. ICML 2026An Odd Estimator for Shapley Values
40. ICML 2026Anatomy of Massive Activations and Attention Sinks
41. ICML 2026Anchored Decoding: Provably Reducing Copyright Risk for Any Language Model
42. ICML 2026Angel or Demon: Investigating the Plasticity Interventions' Impact on Backdoor Threats in Deep Reinforcement Learning
43. ICML 2026Anti-Backdoor Coreset Selection via Cumulative Entropy
44. ICML 2026Arboreal Neural Network
45. ICML 2026Are LLM Evaluators Really Narcissists? Sanity Checking Self-Preference Evaluations
46. ICML 2026Ariadne's Thread of LipSync: Unraveling Forgeries via Inconsistency between Lip Motions and Head Poses
47. ICML 2026Asymptotic Optimality of the High-Dimensional Gaussian Mechanism and Improved Low-Dimensional Mechanisms for Differential Privacy
48. ICML 2026At the Edge of Understanding: Sparse Autoencoders Trace The Limits of Transformer Generalization
49. ICML 2026Attention's forward pass and Frank-Wolfe
50. ICML 2026Auditing Sybil: Explaining Deep Lung Cancer Risk Prediction Through Generative Interventional Attributions

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.