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

1,357 papers, page 8 of 28

351. ICLR 2026Strategic Dishonesty Can Undermine AI Safety Evaluations of Frontier LLMs
352. ICLR 2026Structural Inference: Interpreting Small Language Models with Susceptibilities
353. ICLR 2026Subquadratic Algorithms and Hardness for Attention with Any Temperature
354. ICLR 2026Tackling the XAI Disagreement Problem with Adaptive Feature Grouping
355. ICLR 2026Task Vectors, Learned Not Extracted: Performance Gains and Mechanistic Insights
356. ICLR 2026Temporal Concept Dynamics in Diffusion Models via Prompt-Conditioned Interventions
357. ICLR 2026Temporal Generalization: A Reality Check
358. ICLR 2026Temporal Sparse Autoencoders: Leveraging the Sequential Nature of Language for Interpretability
359. ICLR 2026Temporal superposition and feature geometry of RNNs under memory demands
360. ICLR 2026Testing Most Influential Sets
361. ICLR 2026The CoT Encyclopedia: Analyzing, Predicting, and Controlling how a Reasoning Model will Think
362. ICLR 2026The Deleuzian Representation Hypothesis
363. ICLR 2026The Geometry and Topology of Circuits: the Manifolds of Modular Addition
364. ICLR 2026The Lattice Geometry of Neural Network Quantization: A Short Equivalence Proof of GPTQ and Babai's Algorithm
365. ICLR 2026The Lattice Representation Hypothesis and Concept Algebra in LLMs
366. ICLR 2026The Price of Amortized inference in Sparse Autoencoders
367. ICLR 2026The Shape of Adversarial Influence: Characterizing LLM Latent Spaces with Persistent Homology
368. ICLR 2026The Tutor-Pupil Augmentation: Enhancing Learning and Interpretability via Input Corrections
369. ICLR 2026The Value of Information in Human-AI Decision-making
370. ICLR 2026TileLang: Bridge Programmability and Performance in Modern Neural Kernels
371. ICLR 2026TimeSeg: An Information-Theoretic Segment-Wise Explainer for Time-Series Predictions
372. ICLR 2026TIMESLIVER : SYMBOLIC-LINEAR DECOMPOSITION FOR EXPLAINABLE TIME SERIES CLASSIFICATION
373. ICLR 2026To Infinity and Beyond: Tool-Use Unlocks Length Generalization in State Space Models
374. ICLR 2026Topology and geometry of the learning space of ReLU networks: connectivity and singularities
375. ICLR 2026Toward Practical Equilibrium Propagation: Brain-inspired Recurrent Neural Network with Feedback Regulation and Residual Connections
376. ICLR 2026Towards a Theoretical Understanding of In-context Learning: Stability and Non-I.I.D Generalisation
377. ICLR 2026Towards Interpretable Visual Decoding with Attention to Brain Representations
378. ICLR 2026Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement
379. ICLR 2026Towards Understanding the Nature of Attention with Low-Rank Sparse Decomposition
380. ICLR 2026Tracing and Reversing Edits in LLMs
381. ICLR 2026Tracing the Traces: Latent Temporal Signals for Efficient and Accurate Reasoning
382. ICLR 2026Training-free Counterfactual Explanation for Temporal Graph Model Inference
383. ICLR 2026Transformers as Measure-Theoretic Associative Memory: A Statistical Perspective and Minimax Optimality
384. ICLR 2026Transformers Don’t Need LayerNorm at Inference Time: Scaling LayerNorm Removal to GPT-2 XL and Implications for Mechanistic Interpretability
385. ICLR 2026Tucker-FNO: Tensor Tucker-Fourier Neural Operator and its Universal Approximation Theory
386. ICLR 2026Uncovering Conceptual Blindspots in Generative Image Models Using Sparse Autoencoders
387. ICLR 2026Understanding and Relaxing the Limitations of Transformers for Linear Algebra
388. ICLR 2026Understanding the Emergence of Seemingly Useless Features in Next-Token Predictors
389. ICLR 2026Unifying Formal Explanations: A Complexity-Theoretic Perspective
390. ICLR 2026VeriTrail: Closed-Domain Hallucination Detection with Traceability
391. ICLR 2026Visual symbolic mechanisms: Emergent symbol processing in Vision Language Models
392. ICLR 2026Watch the Weights: Unsupervised monitoring and control of fine-tuned LLMs
393. ICLR 2026Welfarist Formulations for Diverse Similarity Search
394. ICLR 2026What Do Large Language Models Know About Opinions?
395. ICLR 2026When Bias Helps Learning: Bridging Initial Prejudice and Trainability
396. ICLR 2026When Shift Happens - Confounding Is to Blame
397. ICLR 2026When Thinking Backfires: Mechanistic Insights into Reason-induced Misalignment
398. ICLR 2026Why Do Unlearnable Examples Work: A Novel Perspective of Mutual Information
399. ICLR 2026xRFM: Accurate, scalable, and interpretable feature learning models for tabular data
400. ICLR 2026ZeroTuning: Unlocking the Initial Token's Power to Enhance Large Language Models Without Training

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.