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

416 papers, page 1 of 9

1. NeurIPS 2026$\mathcal{P}$Torch: Narrowing the Gap Between Projection and Gradient-Based Learning
2. NeurIPS 2026A Critical $\beta$-Scale for Posterior Collapse in Dirichlet $\beta$-VAEs
3. NeurIPS 2026A Mechanistic Interpretability Study of an Astronomical Foundation Model
4. NeurIPS 2026A simple model of co-emergence of grid and place fields
5. NeurIPS 2026A Unifying Perspective on Language Model Interpretability
6. NeurIPS 2026Achieving Optimal Static and Dynamic Regret Simultaneously in Bandits with Deterministic Losses
7. NeurIPS 2026Adapting to Conflict: Equilibrium Structure and Adaptive Learning in Harmonic Games
8. NeurIPS 2026AdKnob: Ad Intensity Control and Labeling for LLM-Native Advertising
9. NeurIPS 2026Agentic AI Design Should be Mediated to Promote Social Welfare
10. NeurIPS 2026Agentic-imodels: Evolving agentic interpretability tools via autoresearch
11. NeurIPS 2026AI-Assisted Classification under Correlation Neglect and Trust
12. NeurIPS 2026AI-Mediated Communication Can Steer Collective Opinion
13. NeurIPS 2026Algorithms for Linear Equations with Min and Max Operators Under (Absolutely) Halting Condition
14. NeurIPS 2026Amortized Linear-time Exact Shapley Value for Product-Kernel Methods
15. NeurIPS 2026An Assessment of Human vs. Model Uncertainty in Soft-Label Learning and Calibration
16. NeurIPS 2026An Axiomatic Analysis of DPO and NLHF as Reference-Dependent Probabilistic Voting Rules
17. NeurIPS 2026Are Well-Trained Surrogates Optimal? Rethinking the Surrogate Role with Instability for Unlearnable Examples
18. NeurIPS 2026Assessing Per-Sample Membership Inference Vulnerability without Retraining
19. NeurIPS 2026Assign and Add: A Mechanistic Study of Compositional Arithmetic
20. NeurIPS 2026Asymmetric Invertible Threat: Learning Reversible Privacy Defense for Face Recognition
21. NeurIPS 2026Auditor-Assisted Summary-Channel Verification for Hosted LLM Identity Substitution
22. NeurIPS 2026AutoHoney: Automating, Deploying, and Evaluating Scheming Honeypots Across Production Codebases
23. NeurIPS 2026Autoregressive Learning in Joint KL: Sharp Oracle Bounds and Lower Bounds
24. NeurIPS 2026BarrierSteer: LLM Safety via Learning Barrier Steering
25. NeurIPS 2026BEAGLE: Behavior-Enforced Agent for Grounded Learner Emulation
26. NeurIPS 2026Before Words, Beyond Speech: Evaluating Nonverbal Social Reasoning in Early Childhood
27. NeurIPS 2026Bentkus-type asymptotic e-values
28. NeurIPS 2026Beyond Confidence: Rethinking Self-Assessments for Performance Prediction in LLMs
29. NeurIPS 2026Beyond Feature Disruption: Boundary-Diverting Unlearnable Examples against Linear Probing
30. NeurIPS 2026Beyond Interpretability: When, Why, and How Sparse Autoencoders Enable Label-Free Visual Steering
31. NeurIPS 2026Beyond Isotropy in JEPAs: Hamiltonian Geometry and Symplectic Prediction
32. NeurIPS 2026Beyond Success Rates: Trainability and Extractability in Offline GCRL
33. NeurIPS 2026Beyond the Half Approximation: Fair and Efficient Online Class Matching
34. NeurIPS 2026Beyond the Prompt: Leveraging Pre-Decoding States for Jailbreak Detection in dLLMs
35. NeurIPS 2026BIAS-ID: A Framework for Analyzing Transformation Biases in AI-Generated Image Detectors
36. NeurIPS 2026Bias, Measurement Error, and Double-Dipping: When Can GNN Convolutions Help Brain Connectome Prediction?
37. NeurIPS 2026BiasTrojan: LLM Judgers Are Easily Distorted by Few Hundreds of Contrastive Biased Training Data
38. NeurIPS 2026Black-Box Inference of LLM Architectural Properties with Restrictive API Access
39. NeurIPS 2026Bottleneck Benchmark: Sequence Compression Under Controlled Difficulty and Fixed Latent Size
40. NeurIPS 2026Bridging Compute- and Data-Optimal Pretraining
41. NeurIPS 2026Budgeting Discretion: Theory and Evidence on Street-Level Decision-Making
42. NeurIPS 2026CalArena: A Large Scale Post-Hoc Calibration Benchmark
43. NeurIPS 2026CaMeLs Can Use Computers Too: System-level Security for Computer Use Agents
44. NeurIPS 2026Castle-in-the-Air: Probing the Foundational Visual Deficits of MLLMs via Bottom-Up Cognitive Factors
45. NeurIPS 2026Causal Evaluation of Membership Inference Attacks
46. NeurIPS 2026Certified but Private: Scalable Zero-Knowledge Proofs for the Formal Verification of Neural Networks
47. NeurIPS 2026Chain-of-Thought Is Not Explainability
48. NeurIPS 2026Chatter Attack: Resource Consumption Attack for Large Language Models
49. NeurIPS 2026ChronosAlign: A Large-Scale, Updatable Benchmark for Decomposing Temporal Alignment in LLMs
50. NeurIPS 2026Classification at the Edge of Stability: Unifying Self-Stabilization and Convergence Rates

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.