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 13 of 69

601. ICML 2026Faster Query-Key Learning Sharpens Attention in Self-Attention Models
602. ICML 2026FedEBA+: Towards Fair and Effective Federated Learning via Entropy-Based Model
603. ICML 2026Federated Manifold Learning (FML): Tackling Domain Heterogeneity with Structural Knowledge Transfer
604. ICML 2026Finding Differentially Private Second Order Stationary Points in Stochastic Minimax Optimization
605. ICML 2026Finding Most Influential Sets
606. ICML 2026Fingerprinting Pre-trained Encoders under Arbitrary Downstream Fine-Tuning via Adversarial Shifting
607. ICML 2026FLARE-AI: Flaw Reporting for AI
608. ICML 2026FlatLand: Personalized Graph Federated Learning via Tailored Lorentz Space
609. ICML 2026Floating-Point Networks with Automatic Differentiation Can Represent Almost All Floating-Point Functions and Their Gradients
610. ICML 2026Forensic Prompting with Dual-Action Policy Optimization for Vision-Language Forgery Detection and Localization
611. ICML 2026Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models
612. ICML 2026Formal Concept Lattices are Good Semantic Scaffolds for Concept-Based Learning
613. ICML 2026From Associations to Activations: Comparing Behavioral and Hidden-State Semantic Geometry in LLMs
614. ICML 2026From Directions to Regions: Decomposing Activations in Language Models via Local Geometry
615. ICML 2026From Kepler to Newton: Inductive Biases Guide Learned World Models in Transformers
616. ICML 2026From Rashomon Theory to PRAXIS: Efficient Decision Tree Rashomon Sets
617. ICML 2026From Similarity to Vulnerability: Key Collision Attack on LLM Semantic Caching
618. ICML 2026From Weak Cues to Real Identities: Evaluating Inference-Driven De-Anonymization in LLM Agents
619. ICML 2026Functional Decomposition and Shapley Interactions for Interpreting Survival Models
620. ICML 2026FUSE: Full‑spectrum Unlearnable Examples via Spectral Equalization
621. ICML 2026FuseFSS: Efficient Secure LLM Inference with Function Secret Sharing
622. ICML 2026Gaming Consensus: Coordinated Manipulation in Crowdsourced Fact-Checking
623. ICML 2026GaussTrace: Provenance Analysis of 3D Gaussian Splatting Models with Evidence-based LLM Reasoning
624. ICML 2026GenAlign: Towards Unified Alignment Framework of MLLMs via Generative Reward Model
625. ICML 2026Generalizing Stochastic Smoothing for Differentiation and Gradient Estimation
626. ICML 2026Geometric and Stochastic Analysis of Discontinuities in Sparse Mixture-of-Experts
627. ICML 2026Geometric Conformal Prediction with Spatial Ranks and Multivariate Quantiles
628. ICML 2026GKD-Recruiter: Jointly Modeling Social and Task Heterogeneity for Spatial Crowdsourcing via Graph Knowledge Distillation
629. ICML 2026GoodDiffusion: Proactive Copyright Protection for Diffusion Bridge Models via Learnable Sample-specific Signatures
630. ICML 2026Gradient Flow Dynamics and Implicit Bias of Diagonal Linear Networks under Infinitesimal Initialization
631. ICML 2026Gradient Inversion Attacks Beyond SGD
632. ICML 2026Graph-Preference Learning: Debiasing Network-Sampled Human Feedback for Target Welfare Estimation
633. ICML 2026Guaranteed Optimal Compositional Explanations for Neurons
634. ICML 2026Hamiltonian Asymmetric Fusion: One-Way Safe Directed Refinement under Modality Imbalance
635. ICML 2026Heterogeneity-Aware Knowledge Sharing for Graph Federated Learning
636. ICML 2026HIAL: Towards Semantics-Aware Hypergraph Active Learning via Dual-Perspective Information Maximization
637. ICML 2026Hidden in Plain Sight -- Class Competition Focuses Attribution Maps
638. ICML 2026Hidden in Plain Tokens: Simply Robust, Gradient-Free Watermark for Synthetic Audio
639. ICML 2026Hide and Seek in Embedding Space: Geometry-based Steganography and Detection in Large Language Models
640. ICML 2026Hide&Seek: Learning to Explain in an End-to-End Differentiable Network
641. ICML 2026Hierarchical Multi Scale Graph Neural Networks: Scalable Heterophilous Learning with Oversmoothing and Oversquashing Mitigation
642. ICML 2026Hierarchical Retrieval at Scale: Bridging Interpretability and Efficiency
643. ICML 2026HiPPO Zoo: Explicit Memory Mechanisms for Interpretable State Space Models
644. ICML 2026Hista and Numca: Estimate State Value Effectively for Large Language Model Reinforcement Learning
645. ICML 2026HoloFair: Unified T2I Fairness Evaluation and Fair-GRPO Debiasing
646. ICML 2026Homophily-Heterogeneity Gradient Surgery for Federated Graph Learning
647. ICML 2026How Can Mamba Learn In Context with Outliers and Generalize Provably?
648. ICML 2026How does Bayesian Sampling help Membership Inference Attacks?
649. ICML 2026How Good is Post-Hoc Watermarking With Language Model Rephrasing?
650. ICML 2026How Hard Can It Be? Hardness-Aware Multi-Objective Unlearning

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.