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

589 papers, page 8 of 12

351. NeurIPS 2024Algorithmic Capabilities of Random Transformers
352. NeurIPS 2024Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction
353. NeurIPS 2024ALPINE: Unveiling The Planning Capability of Autoregressive Learning in Language Models
354. NeurIPS 2024An Analysis of Tokenization: Transformers under Markov Data
355. NeurIPS 2024An Equivalence Between Static and Dynamic Regret Minimization
356. NeurIPS 2024Analysing the Generalisation and Reliability of Steering Vectors
357. NeurIPS 2024AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Properties
358. NeurIPS 2024Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage?
359. NeurIPS 2024Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning
360. NeurIPS 2024Auditing Local Explanations is Hard
361. NeurIPS 2024Automating Data Annotation under Strategic Human Agents: Risks and Potential Solutions
362. NeurIPS 2024B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable
363. NeurIPS 2024Bandit-Feedback Online Multiclass Classification: Variants and Tradeoffs
364. NeurIPS 2024Barely Random Algorithms and Collective Metrical Task Systems
365. NeurIPS 2024BEACON: Benchmark for Comprehensive RNA Tasks and Language Models
366. NeurIPS 2024BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices
367. NeurIPS 2024Beyond Accuracy: Ensuring Correct Predictions With Correct Rationales
368. NeurIPS 2024Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?
369. NeurIPS 2024Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects
370. NeurIPS 2024Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps
371. NeurIPS 2024BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGO
372. NeurIPS 2024Bridging OOD Detection and Generalization: A Graph-Theoretic View
373. NeurIPS 2024Capturing the denoising effect of PCA via compression ratio
374. NeurIPS 2024Causal Deciphering and Inpainting in Spatio-Temporal Dynamics via Diffusion Model
375. NeurIPS 2024Causal Dependence Plots
376. NeurIPS 2024Cherry on Top: Parameter Heterogeneity and Quantization in Large Language Models
377. NeurIPS 2024ChronoEpilogi: Scalable Time Series Selection with Multiple Solutions
378. NeurIPS 2024Coarse-to-Fine Concept Bottleneck Models
379. NeurIPS 2024Codec Avatar Studio: Paired Human Captures for Complete, Driveable, and Generalizable Avatars
380. NeurIPS 2024Compact Language Models via Pruning and Knowledge Distillation
381. NeurIPS 2024Compact Proofs of Model Performance via Mechanistic Interpretability
382. NeurIPS 2024Computational Aspects of Bayesian Persuasion under Approximate Best Response
383. NeurIPS 2024Confidence Regulation Neurons in Language Models
384. NeurIPS 2024Constrained Human-AI Cooperation: An Inclusive Embodied Social Intelligence Challenge
385. NeurIPS 2024CoSy: Evaluating Textual Explanations of Neurons
386. NeurIPS 2024Crafting Interpretable Embeddings for Language Neuroscience by Asking LLMs Questions
387. NeurIPS 2024CryoBench: Datasets and Benchmarks for Heterogeneous Cryo-EM Reconstruction
388. NeurIPS 2024Data Distribution Valuation
389. NeurIPS 2024Data-faithful Feature Attribution: Mitigating Unobservable Confounders via Instrumental Variables
390. NeurIPS 2024Decision-Making Behavior Evaluation Framework for LLMs under Uncertain Context
391. NeurIPS 2024Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP
392. NeurIPS 2024Delving into the Reversal Curse: How Far Can Large Language Models Generalize?
393. NeurIPS 2024Denoising Diffusion Path: Attribution Noise Reduction with An Auxiliary Diffusion Model
394. NeurIPS 2024DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning
395. NeurIPS 2024DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers
396. NeurIPS 2024Diffusion PID: Interpreting Diffusion via Partial Information Decomposition
397. NeurIPS 2024Discovering plasticity rules that organize and maintain neural circuits
398. NeurIPS 2024Disentangling and mitigating the impact of task similarity for continual learning
399. NeurIPS 2024Dissecting Query-Key Interaction in Vision Transformers
400. NeurIPS 2024Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation

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.