Social aspects · accountability transparency and interpretability papers, 2023–2026
Social aspect: accountability_transparency_and_interpretability
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 3,411 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 82 | 57 | 94 | 68 | 301 |
| 2024 | 255 | 83 | 152 | 99 | 589 |
| 2025 | 522 | 211 | 337 | 94 | 1,164 |
| 2026 | 416 | 292 | 541 | 108 | 1,357 |
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 34 of 69
- ICLR 2025Transformers Learn Low Sensitivity Functions: Investigations and Implications
- ICLR 2025Uncovering Gaps in How Humans and LLMs Interpret Subjective Language
- ICLR 2025Understanding and Enhancing Safety Mechanisms of LLMs via Safety-Specific Neuron
- ICLR 2025Understanding and Mitigating Hallucination in Large Vision-Language Models via Modular Attribution and Intervention
- ICLR 2025Unearthing Skill-level Insights for Understanding Trade-offs of Foundation Models
- ICLR 2025Unlearning-based Neural Interpretations
- ICLR 2025Unlocking the Potential of Model Calibration in Federated Learning
- ICLR 2025Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations
- ICLR 2025Wasserstein Distances, Neuronal Entanglement, and Sparsity
- ICLR 2025What should a neuron aim for? Designing local objective functions based on information theory
- ICLR 2025Words in Motion: Extracting Interpretable Control Vectors for Motion Transformers
- ICLR 2025Zero-Shot Natural Language Explanations
- ICML 2025"Who experiences large model decay and why?" A Hierarchical Framework for Diagnosing Heterogeneous Performance Drift
- ICML 2025(How) Can Transformers Predict Pseudo-Random Numbers?
- ICML 2025(How) Do Language Models Track State?
- ICML 2025$S^2$FGL: Spatial Spectral Federated Graph Learning
- ICML 2025A Checks-and-Balances Framework for Context-Aware Ethical AI Alignment
- ICML 2025A Lens into Interpretable Transformer Mistakes via Semantic Dependency
- ICML 2025A Mathematical Framework for AI-Human Integration in Work
- ICML 2025A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability
- ICML 2025A Non-Asymptotic Convergent Analysis for Scored-Based Graph Generative Model via a System of Stochastic Differential Equations
- ICML 2025A Parameter-Free and Near-Optimal Zeroth-Order Algorithm for Stochastic Convex Optimization
- ICML 2025A Unified Approach to Routing and Cascading for LLMs
- ICML 2025A Versatile Influence Function for Data Attribution with Non-Decomposable Loss
- ICML 2025Accelerating Spectral Clustering under Fairness Constraints
- ICML 2025Accurate Identification of Communication Between Multiple Interacting Neural Populations
- ICML 2025Activation Space Interventions Can Be Transferred Between Large Language Models
- ICML 2025Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization
- ICML 2025Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets
- ICML 2025Adversarial Inception Backdoor Attacks against Reinforcement Learning
- ICML 2025Adversaries Can Misuse Combinations of Safe Models
- ICML 2025Algorithmic Recourse for Long-Term Improvement
- ICML 2025An analytic theory of creativity in convolutional diffusion models
- ICML 2025An Efficient Private GPT Never Autoregressively Decodes
- ICML 2025An End-to-End Model for Logits-Based Large Language Models Watermarking
- ICML 2025Analyze Feature Flow to Enhance Interpretation and Steering in Language Models
- ICML 2025Antidote: Post-fine-tuning Safety Alignment for Large Language Models against Harmful Fine-tuning Attack
- ICML 2025Approximate Differential Privacy of the $\ell_2$ Mechanism
- ICML 2025Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models
- ICML 2025Are Sparse Autoencoders Useful? A Case Study in Sparse Probing
- ICML 2025Attributes Shape the Embedding Space of Face Recognition Models
- ICML 2025Auditing $f$-differential privacy in one run
- ICML 2025Auditing Prompt Caching in Language Model APIs
- ICML 2025AutoAdvExBench: Benchmarking Autonomous Exploitation of Adversarial Example Defenses
- ICML 2025Automatically Interpreting Millions of Features in Large Language Models
- ICML 2025Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts
- ICML 2025AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders
- ICML 2025B-score: Detecting biases in large language models using response history
- ICML 2025BaxBench: Can LLMs Generate Correct and Secure Backends?
- ICML 2025Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence
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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.