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

522 papers, page 5 of 11

201. NeurIPS 2025Geometric Imbalance in Semi-Supervised Node Classification
202. NeurIPS 2025Geometric Logit Decoupling for Energy-Based Graph Out-of-distribution Detection
203. NeurIPS 2025Geometry of Decision Making in Language Models
204. NeurIPS 2025GnnXemplar: Exemplars to Explanations - Natural Language Rules for Global GNN Interpretability
205. NeurIPS 2025GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation
206. NeurIPS 2025GraSS: Scalable Data Attribution with Gradient Sparsification and Sparse Projection
207. NeurIPS 2025Grounding Language with Vision: A Conditional Mutual Information Calibrated Decoding Strategy for Reducing Hallucinations in LVLMs
208. NeurIPS 2025GUARD: Constructing Realistic Two-Player Matrix and Security Games for Benchmarking Game-Theoretic Algorithms
209. NeurIPS 2025Guiding LLM Decision-Making with Fairness Reward Models
210. NeurIPS 2025Harnessing the Computation Redundancy in ViTs to Boost Adversarial Transferability
211. NeurIPS 2025Head Pursuit: Probing Attention Specialization in Multimodal Transformers
212. NeurIPS 2025HeavyWater and SimplexWater: Distortion-free LLM Watermarks for Low-Entropy Distributions
213. NeurIPS 2025Heterogeneous Diffusion Structure Inference for Network Cascade
214. NeurIPS 2025Hierarchical Frequency Tagging Probe (HFTP): A Unified Approach to Investigate Syntactic Structure Representations in Large Language Models and the Human Brain
215. NeurIPS 2025High-Order Flow Matching: Unified Framework and Sharp Statistical Rates
216. NeurIPS 2025Homogeneous Algorithms Can Reduce Competition in Personalized Pricing
217. NeurIPS 2025HouseLayout3D: A Benchmark and Training-free Baseline for 3D Layout Estimation in the Wild
218. NeurIPS 2025How do Transformers Learn Implicit Reasoning?
219. NeurIPS 2025How Well Can Differential Privacy Be Audited in One Run?
220. NeurIPS 2025Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection
221. NeurIPS 2025ICLScan: Detecting Backdoors in Black-Box Large Language Models via Targeted In-context Illumination
222. NeurIPS 2025Identifiability of Deep Polynomial Neural Networks
223. NeurIPS 2025IF-Guide: Influence Function-Guided Detoxification of LLMs
224. NeurIPS 2025ImageNet-trained CNNs are not biased towards texture: Revisiting feature reliance through controlled suppression
225. NeurIPS 2025Imbalances in Neurosymbolic Learning: Characterization and Mitigating Strategies
226. NeurIPS 2025Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning
227. NeurIPS 2025Impact of Layer Norm on Memorization and Generalization in Transformers
228. NeurIPS 2025Improved Representation Steering for Language Models
229. NeurIPS 2025Improving Energy Natural Gradient Descent through Woodbury, Momentum, and Randomization
230. NeurIPS 2025Improving Model Representation and Reducing KV Cache via Skip Connections with First Value Heads
231. NeurIPS 2025Improving Perturbation-based Explanations by Understanding the Role of Uncertainty Calibration
232. NeurIPS 2025Improving Task-Specific Multimodal Sentiment Analysis with General MLLMs via Prompting
233. NeurIPS 2025In-context Learning of Linear Dynamical Systems with Transformers: Approximation Bounds and Depth-separation
234. NeurIPS 2025In-Context Learning Strategies Emerge Rationally
235. NeurIPS 2025Incentivizing Desirable Effort Profiles in Strategic Classification: The Role of Causality and Uncertainty
236. NeurIPS 2025Incentivizing Time-Aware Fairness in Data Sharing
237. NeurIPS 2025Individual Fairness In Strategic Classification
238. NeurIPS 2025Individually Fair Diversity Maximization
239. NeurIPS 2025Inference-Time Reward Hacking in Large Language Models
240. NeurIPS 2025Inner Speech as Behavior Guides: Steerable Imitation of Diverse Behaviors for Human-AI coordination
241. NeurIPS 2025Instance-Optimality for Private KL Distribution Estimation
242. NeurIPS 2025Interactive and Hybrid Imitation Learning: Provably Beating Behavior Cloning
243. NeurIPS 2025Intermediate Domain Alignment and Morphology Analogy for Patent-Product Image Retrieval
244. NeurIPS 2025Interpretable and Parameter Efficient Graph Neural Additive Models with Random Fourier Features
245. NeurIPS 2025Interpretable Next-token Prediction via the Generalized Induction Head
246. NeurIPS 2025Interpreting Arithmetic Reasoning in Large Language Models using Game-Theoretic Interactions
247. NeurIPS 2025Interpreting Emergent Features in Deep Learning-based Side-channel Analysis
248. NeurIPS 2025Interpreting vision transformers via residual replacement model
249. NeurIPS 2025InvisibleInk: High-Utility and Low-Cost Text Generation with Differential Privacy
250. NeurIPS 2025Jacobian-Based Interpretation of Nonlinear Neural Encoding Model

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.