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

1,275 papers, page 12 of 26

551. NeurIPS 2025Does Object Binding Naturally Emerge in Large Pretrained Vision Transformers?
552. NeurIPS 2025Does Representation Guarantee Welfare?
553. NeurIPS 2025Don’t Give Up on Democratizing AI for the Wrong Reasons
554. NeurIPS 2025Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the Role of Model Complexity
555. NeurIPS 2025DPA: A one-stop metric to measure bias amplification in classification datasets
556. NeurIPS 2025DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents
557. NeurIPS 2025DUAL: Learning Diverse Kernels for Aggregated Two-sample and Independence Testing
558. NeurIPS 2025DualOptim: Enhancing Efficacy and Stability in Machine Unlearning with Dual Optimizers
559. NeurIPS 2025E2E-VGuard: Adversarial Prevention for Production LLM-based End-To-End Speech Synthesis
560. NeurIPS 2025EAP-GP: Mitigating Saturation Effect in Gradient-based Automated Circuit Identification
561. NeurIPS 2025EAReranker: Efficient Embedding Adequacy Assessment for Retrieval Augmented Generation
562. NeurIPS 2025Efficient Algorithms for Robust and Partial Semi-Discrete Optimal Transport
563. NeurIPS 2025Efficient Fairness-Performance Pareto Front Computation
564. NeurIPS 2025Efficient Utility-Preserving Machine Unlearning with Implicit Gradient Surgery
565. NeurIPS 2025ElliCE: Efficient and Provably Robust Algorithmic Recourse via the Rashomon Sets
566. NeurIPS 2025Emergence and Evolution of Interpretable Concepts in Diffusion Models
567. NeurIPS 2025Emergent Risk Awareness in Rational Agents under Resource Constraints
568. NeurIPS 2025Empowering Decision Trees via Shape Function Branching
569. NeurIPS 2025Enhancing Interpretability in Deep Reinforcement Learning through Semantic Clustering
570. NeurIPS 2025Epistemic Uncertainty for Generated Image Detection
571. NeurIPS 2025Erasing Conceptual Knowledge from Language Models
572. NeurIPS 2025ErrorTrace: A Black-Box Traceability Mechanism Based on Model Family Error Space
573. NeurIPS 2025Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations?
574. NeurIPS 2025Estimation of Treatment Effects in Extreme and Unobserved Data
575. NeurIPS 2025Evaluating LLMs in Open-Source Games
576. NeurIPS 2025EVOREFUSE: Evolutionary Prompt Optimization for Evaluation and Mitigation of LLM Over-Refusal to Pseudo-Malicious Instructions
577. NeurIPS 2025Explaining and Mitigating Crosslingual Tokenizer Inequities
578. NeurIPS 2025Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions
579. NeurIPS 2025Exploring Semantic-constrained Adversarial Example with Instruction Uncertainty Reduction
580. NeurIPS 2025Exploring the limits of strong membership inference attacks on large language models
581. NeurIPS 2025Exploring the Translation Mechanism of Large Language Models
582. NeurIPS 2025FACE: Faithful Automatic Concept Extraction
583. NeurIPS 2025FaCT: Faithful Concept Traces for Explaining Neural Network Decisions
584. NeurIPS 2025Fair Continuous Resource Allocation with Equality of Impact
585. NeurIPS 2025Fair Deepfake Detectors Can Generalize
586. NeurIPS 2025Fair Representation Learning with Controllable High Confidence Guarantees via Adversarial Inference
587. NeurIPS 2025Fairness under Competition
588. NeurIPS 2025Fairness-aware Bayes Optimal Functional Classification
589. NeurIPS 2025FairNet: Dynamic Fairness Correction without Performance Loss via Contrastive Conditional LoRA
590. NeurIPS 2025Fairshare Data Pricing via Data Valuation for Large Language Models
591. NeurIPS 2025Faithful Group Shapley Value
592. NeurIPS 2025FALCON: Fine-grained Activation Manipulation by Contrastive Orthogonal Unalignment for Large Language Model
593. NeurIPS 2025Fast Computation and Optimization for Opinion-Based Quantities of Friedkin-Johnsen Model
594. NeurIPS 2025FedFACT: A Provable Framework for Controllable Group-Fairness Calibration in Federated Learning
595. NeurIPS 2025FedRACE: A Hierarchical and Statistical Framework for Robust Federated Learning
596. NeurIPS 2025FedRW: Efficient Privacy-Preserving Data Reweighting for Enhancing Federated Learning of Language Models
597. NeurIPS 2025Final-Model-Only Data Attribution with a Unifying View of Gradient-Based Methods
598. NeurIPS 2025Finding and Reactivating Post-Trained LLMs' Hidden Safety Mechanisms
599. NeurIPS 2025Fix False Transparency by Noise Guided Splatting
600. NeurIPS 2025Fixing It in Post: A Comparative Study of LLM Post-Training Data Quality and Model Performance

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.