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

3,411 papers, page 47 of 69

2301. NeurIPS 2025MPCache: MPC-Friendly KV Cache Eviction for Efficient Private LLM Inference
2302. NeurIPS 2025Multi-Class Support Vector Machine with Differential Privacy
2303. NeurIPS 2025Multi-order Orchestrated Curriculum Distillation for Model-Heterogeneous Federated Graph Learning
2304. NeurIPS 2025Multidimensional Bayesian Utility Maximization: Tight Approximations to Welfare
2305. NeurIPS 2025Neural Collapse is Globally Optimal in Deep Regularized ResNets and Transformers
2306. NeurIPS 2025Neural Correlates of Serial Dependence: Synaptic Short-term Plasticity Orchestrates Repulsion and Attraction
2307. NeurIPS 2025Neural Rule Lists: Learning Discretizations, Rules, and Order in One Go
2308. NeurIPS 2025Noise Injection Reveals Hidden Capabilities of Sandbagging Language Models
2309. NeurIPS 2025Nonlinearly Preconditioned Gradient Methods: Momentum and Stochastic Analysis
2310. NeurIPS 2025OASIS: One-Shot Federated Graph Learning via Wasserstein Assisted Knowledge Integration
2311. NeurIPS 2025Object-Centric Concept-Bottlenecks
2312. NeurIPS 2025Obliviator Reveals the Cost of Nonlinear Guardedness in Concept Erasure
2313. NeurIPS 2025On Group Sufficiency Under Label Bias
2314. NeurIPS 2025On Learning Verifiers and Implications to Chain-of-Thought Reasoning
2315. NeurIPS 2025On Logic-based Self-Explainable Graph Neural Networks
2316. NeurIPS 2025On Optimal Steering to Achieve Exact Fairness
2317. NeurIPS 2025On the Coexistence and Ensembling of Watermarks
2318. NeurIPS 2025On the creation of narrow AI: hierarchy and nonlocality of neural network skills
2319. NeurIPS 2025On the Existence and Complexity of Core-Stable Data Exchanges
2320. NeurIPS 2025On the Sample Complexity of Differentially Private Policy Optimization
2321. NeurIPS 2025On the Stability and Generalization of Meta-Learning: the Impact of Inner-Levels
2322. NeurIPS 2025One Head to Rule Them All: Amplifying LVLM Safety through a Single Critical Attention Head
2323. NeurIPS 2025One Token Embedding Is Enough to Deadlock Your Large Reasoning Model
2324. NeurIPS 2025One-Step is Enough: Sparse Autoencoders for Text-to-Image Diffusion Models
2325. NeurIPS 2025Online Strategic Classification With Noise and Partial Feedback
2326. NeurIPS 2025OOD Detection with Relative Angles
2327. NeurIPS 2025OpenGU: A Comprehensive Benchmark for Graph Unlearning
2328. NeurIPS 2025OrdShap: Feature Position Importance for Sequential Black-Box Models
2329. NeurIPS 2025Overcoming Sparsity Artifacts in Crosscoders to Interpret Chat-Tuning
2330. NeurIPS 2025Pairwise Calibrated Rewards for Pluralistic Alignment
2331. NeurIPS 2025Panacea: Mitigating Harmful Fine-tuning for Large Language Models via Post-fine-tuning Perturbation
2332. NeurIPS 2025Part-Aware Bottom-Up Group Reasoning for Fine-Grained Social Interaction Detection
2333. NeurIPS 2025Path-specific effects for pulse-oximetry guided decisions in critical care
2334. NeurIPS 2025Performative Validity of Recourse Explanations
2335. NeurIPS 2025Personalized Safety in LLMs: A Benchmark and A Planning-Based Agent Approach
2336. NeurIPS 2025Pinpointing Attention-Causal Communication in Language Models
2337. NeurIPS 2025Position: If Innovation in AI systematically Violates Fundamental Rights, Is It Innovation at All?
2338. NeurIPS 2025Position: Require Frontier AI Labs To Release Small "Analog" Models
2339. NeurIPS 2025Practical Bayes-Optimal Membership Inference Attacks
2340. NeurIPS 2025Practical do-Shapley Explanations with Estimand-Agnostic Causal Inference
2341. NeurIPS 2025Predicting the Performance of Black-box Language Models with Follow-up Queries
2342. NeurIPS 2025Prior Forgetting and In-Context Overfitting
2343. NeurIPS 2025Privacy amplification by random allocation
2344. NeurIPS 2025Private Continual Counting of Unbounded Streams
2345. NeurIPS 2025Private Geometric Median in Nearly-Linear Time
2346. NeurIPS 2025Private Hyperparameter Tuning with Ex-Post Guarantee
2347. NeurIPS 2025Private Set Union with Multiple Contributions
2348. NeurIPS 2025Private Zeroth-Order Optimization with Public Data
2349. NeurIPS 2025Probabilistic Stability Guarantees for Feature Attributions
2350. NeurIPS 2025Projecting Assumptions: The Duality Between Sparse Autoencoders and Concept Geometry

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.