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

643 papers, page 13 of 13

601. ICLR 2023DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems
602. ICLR 2023Discovering Latent Knowledge in Language Models Without Supervision
603. ICLR 2023Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution
604. ICLR 2023Expressive Monotonic Neural Networks
605. ICLR 2023Fairness and Accuracy under Domain Generalization
606. ICLR 2023FIGARO: Controllable Music Generation using Learned and Expert Features
607. ICLR 2023Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap
608. ICLR 2023Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs
609. ICLR 2023HiT-MDP: Learning the SMDP option framework on MDPs with Hidden Temporal Embeddings
610. ICLR 2023Holistic Adversarially Robust Pruning
611. ICLR 2023How I Learned to Stop Worrying and Love Retraining
612. ICLR 2023How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization
613. ICLR 2023How to Train your HIPPO: State Space Models with Generalized Orthogonal Basis Projections
614. ICLR 2023Inequality phenomenon in $l_{\infty}$-adversarial training, and its unrealized threats
615. ICLR 2023Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 Small
616. ICLR 2023Interpretability with full complexity by constraining feature information
617. ICLR 2023Label-free Concept Bottleneck Models
618. ICLR 2023Learning Vortex Dynamics for Fluid Inference and Prediction
619. ICLR 2023Learning without Prejudices: Continual Unbiased Learning via Benign and Malignant Forgetting
620. ICLR 2023LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification
621. ICLR 2023Lower Bounds on the Depth of Integral ReLU Neural Networks via Lattice Polytopes
622. ICLR 2023Martingale Posterior Neural Processes
623. ICLR 2023Mind the Pool: Convolutional Neural Networks Can Overfit Input Size
624. ICLR 2023MultiViz: Towards Visualizing and Understanding Multimodal Models
625. ICLR 2023On Accelerated Perceptrons and Beyond
626. ICLR 2023On Explaining Neural Network Robustness with Activation Path
627. ICLR 2023On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations
628. ICLR 2023On The Specialization of Neural Modules
629. ICLR 2023On the Trade-Off between Actionable Explanations and the Right to be Forgotten
630. ICLR 2023PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs
631. ICLR 2023Partially Observable RL with B-Stability: Unified Structural Condition and Sharp Sample-Efficient Algorithms
632. ICLR 2023Performance Bounds for Model and Policy Transfer in Hidden-parameter MDPs
633. ICLR 2023Post-hoc Concept Bottleneck Models
634. ICLR 2023Progress measures for grokking via mechanistic interpretability
635. ICLR 2023Riemannian Metric Learning via Optimal Transport
636. ICLR 2023Risk-Aware Reinforcement Learning with Coherent Risk Measures and Non-linear Function Approximation
637. ICLR 2023Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions
638. ICLR 2023Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning
639. ICLR 2023Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective
640. ICLR 2023Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees
641. ICLR 2023TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization
642. ICLR 2023Training language models to summarize narratives improves brain alignment
643. ICLR 2023Understanding and Adopting Rational Behavior by Bellman Score Estimation

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.