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

301 papers, page 5 of 7

201. ICML 2023Statistical Inference and A/B Testing for First-Price Pacing Equilibria
202. ICML 2023Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation
203. ICML 2023Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning
204. ICML 2023System Identification of Neural Systems: If We Got It Right, Would We Know?
205. ICML 2023The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond
206. ICML 2023The Impact of Exploration on Convergence and Performance of Multi-Agent Q-Learning Dynamics
207. ICML 2023The SSL Interplay: Augmentations, Inductive Bias, and Generalization
208. ICML 2023Thompson Sampling with Less Exploration is Fast and Optimal
209. ICML 2023Tight and fast generalization error bound of graph embedding in metric space
210. ICML 2023Tilted Sparse Additive Models
211. ICML 2023Towards a Persistence Diagram that is Robust to Noise and Varied Densities
212. ICML 2023Towards Explaining Distribution Shifts
213. ICML 2023Towards Reliable Neural Specifications
214. ICML 2023Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts
215. ICML 2023Trainability, Expressivity and Interpretability in Gated Neural ODEs
216. ICML 2023Uncertain Evidence in Probabilistic Models and Stochastic Simulators
217. ICML 2023Understand and Modularize Generator Optimization in ELECTRA-style Pretraining
218. ICML 2023Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies
219. ICML 2023When do Minimax-fair Learning and Empirical Risk Minimization Coincide?
220. NeurIPS 2023(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability
221. NeurIPS 2023[Re] Hierarchical Shrinkage: Improving the Accuracy and Interpretability of Tree-Based Methods
222. NeurIPS 2023[Re] VAE Approximation Error: ELBO and Exponential Families
223. NeurIPS 2023A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation
224. NeurIPS 2023A normative theory of social conflict
225. NeurIPS 2023A Robust and Opponent-Aware League Training Method for StarCraft II
226. NeurIPS 2023Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples
227. NeurIPS 2023Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics
228. NeurIPS 2023Auxiliary Losses for Learning Generalizable Concept-based Models
229. NeurIPS 2023BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic Parsing
230. NeurIPS 2023Bridging Discrete and Backpropagation: Straight-Through and Beyond
231. NeurIPS 2023Core-sets for Fair and Diverse Data Summarization
232. NeurIPS 2023D-Separation for Causal Self-Explanation
233. NeurIPS 2023D$^2$CSG: Unsupervised Learning of Compact CSG Trees with Dual Complements and Dropouts
234. NeurIPS 2023DISCOVER: Making Vision Networks Interpretable via Competition and Dissection
235. NeurIPS 2023Discriminative Feature Attributions: Bridging Post Hoc Explainability and Inherent Interpretability
236. NeurIPS 2023Disentangling Cognitive Diagnosis with Limited Exercise Labels
237. NeurIPS 2023Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning
238. NeurIPS 2023Double Auctions with Two-sided Bandit Feedback
239. NeurIPS 2023Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers
240. NeurIPS 2023Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency
241. NeurIPS 2023Epidemic Learning: Boosting Decentralized Learning with Randomized Communication
242. NeurIPS 2023Error Discovery By Clustering Influence Embeddings
243. NeurIPS 2023Evaluating the Moral Beliefs Encoded in LLMs
244. NeurIPS 2023Explainable Brain Age Prediction using coVariance Neural Networks
245. NeurIPS 2023Exploring and Interacting with the Set of Good Sparse Generalized Additive Models
246. NeurIPS 2023Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach
247. NeurIPS 2023Fast and Simple Spectral Clustering in Theory and Practice
248. NeurIPS 2023FIND: A Function Description Benchmark for Evaluating Interpretability Methods
249. NeurIPS 2023Finite Population Regression Adjustment and Non-asymptotic Guarantees for Treatment Effect Estimation
250. NeurIPS 2023Gaussian Process Probes (GPP) for Uncertainty-Aware Probing

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.