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

1,164 papers, page 12 of 24

551. ICML 2025Proactive Agents for Multi-Turn Text-to-Image Generation Under Uncertainty
552. ICML 2025Provable Benefits of Unsupervised Pre-training and Transfer Learning via Single-Index Models
553. ICML 2025Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing
554. ICML 2025Quantifying Memory Utilization with Effective State-Size
555. ICML 2025Quantifying Prediction Consistency Under Fine-tuning Multiplicity in Tabular LLMs
556. ICML 2025QuEST: Stable Training of LLMs with 1-Bit Weights and Activations
557. ICML 2025Ranked from Within: Ranking Large Multimodal Models Without Labels
558. ICML 2025Relative Error Fair Clustering in the Weak-Strong Oracle Model
559. ICML 2025Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing
560. ICML 2025Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions
561. ICML 2025Representative Ranking for Deliberation in the Public Sphere
562. ICML 2025Rethinking Aleatoric and Epistemic Uncertainty
563. ICML 2025Rethinking the Temperature for Federated Heterogeneous Distillation
564. ICML 2025Revisiting the Predictability of Performative, Social Events
565. ICML 2025Risk and cross validation in ridge regression with correlated samples
566. ICML 2025SAE-V: Interpreting Multimodal Models for Enhanced Alignment
567. ICML 2025SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability
568. ICML 2025SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders
569. ICML 2025SAFE: Finding Sparse and Flat Minima to Improve Pruning
570. ICML 2025Safety Alignment Can Be Not Superficial With Explicit Safety Signals
571. ICML 2025SafetyAnalyst: Interpretable, Transparent, and Steerable Safety Moderation for AI Behavior
572. ICML 2025Scalable Private Partition Selection via Adaptive Weighting
573. ICML 2025SCISSOR: Mitigating Semantic Bias through Cluster-Aware Siamese Networks for Robust Classification
574. ICML 2025Selective Preference Aggregation
575. ICML 2025Self-Consuming Generative Models with Adversarially Curated Data
576. ICML 2025SEMU: Singular Value Decomposition for Efficient Machine Unlearning
577. ICML 2025Skip the Equations: Learning Behavior of Personalized Dynamical Systems Directly From Data
578. ICML 2025SNS-Bench: Defining, Building, and Assessing Capabilities of Large Language Models in Social Networking Services
579. ICML 2025Sparse Autoencoders for Hypothesis Generation
580. ICML 2025Speak Easy: Eliciting Harmful Jailbreaks from LLMs with Simple Interactions
581. ICML 2025SPEX: Scaling Feature Interaction Explanations for LLMs
582. ICML 2025Splitting & Integrating: Out-of-Distribution Detection via Adversarial Gradient Attribution
583. ICML 2025SPRI: Aligning Large Language Models with Context-Situated Principles
584. ICML 2025Stability and Generalization Analysis of Decentralized SGD: Sharper Bounds Beyond Lipschitzness and Smoothness
585. ICML 2025STAMP Your Content: Proving Dataset Membership via Watermarked Rephrasings
586. ICML 2025Statistical Collusion by Collectives on Learning Platforms
587. ICML 2025Stay-Positive: A Case for Ignoring Real Image Features in Fake Image Detection
588. ICML 2025STD-FD: Spatio-Temporal Distribution Fitting Deviation for AIGC Forgery Identification
589. ICML 2025Stealix: Model Stealing via Prompt Evolution
590. ICML 2025Strategy Coopetition Explains the Emergence and Transience of In-Context Learning
591. ICML 2025Subgroups Matter for Robust Bias Mitigation
592. ICML 2025Suitability Filter: A Statistical Framework for Classifier Evaluation in Real-World Deployment Settings
593. ICML 2025Sum-of-Parts: Self-Attributing Neural Networks with End-to-End Learning of Feature Groups
594. ICML 2025Symmetric Reinforcement Learning Loss for Robust Learning on Diverse Tasks and Model Scales
595. ICML 2025Tensor Product Neural Networks for Functional ANOVA Model
596. ICML 2025Textual Unlearning Gives a False Sense of Unlearning
597. ICML 2025Textural or Textual: How Vision-Language Models Read Text in Images
598. ICML 2025The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph
599. ICML 2025The Disparate Benefits of Deep Ensembles
600. ICML 2025The Elicitation Game: Evaluating Capability Elicitation Techniques

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.