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

541 papers, page 2 of 11

51. ICML 2026AutoBaxBuilder: Bootstrapping Code Security Benchmarking
52. ICML 2026Automatically Finding Reward Model Biases
53. ICML 2026Balancing Plasticity and Stability with Fast and Slow Successor Features
54. ICML 2026Bandit Social Leaning Dynamics with Exploration Episodes
55. ICML 2026Base Models Know How to Reason, Thinking Models Learn When
56. ICML 2026Bayesian Gated Non-Negative Contrastive Learning
57. ICML 2026Belief Dynamics Reveal the Dual Nature of In-Context Learning and Activation Steering
58. ICML 2026Benchmarking LLM-Assisted Blue Teaming via Standardized Threat Hunting
59. ICML 2026Beyond Additive Decompositions: Interpretability Through Separability
60. ICML 2026Beyond External Monitors: Enhancing Transparency of Large Language Models for Easier Monitoring
61. ICML 2026Beyond Literal Translation: Evaluating Cultural Effectiveness in Social Media UGC
62. ICML 2026Beyond Pixels: Mining Compressed Domain Artifacts for Efficient AI-Generated Video Detection
63. ICML 2026Beyond Procedure: Substantive Fairness in Conformal Prediction
64. ICML 2026Beyond Sample-Level Forgetting: Improving Reliability in Multimodal Unlearning
65. ICML 2026Beyond Scalars: Evaluating and Understanding LLM Reasoning via Geometric Progress and Stability
66. ICML 2026Beyond Structural Symmetries: Linear Mode Connectivity via Neuron Identifiability
67. ICML 2026Biases in the Blind Spot: Detecting What LLMs Fail to Mention
68. ICML 2026Black-Box Assisted Regression: Phase Transitions and Minimax Optimality
69. ICML 2026Block-wise Codeword Embedding for Reliable Multi-bit Text Watermarking
70. ICML 2026Brain Networks Should Be Learned, Not Constructed
71. ICML 2026Breaking the Block: Preserving Data Continuity to Train Superior SAEs for Instruct Models
72. ICML 2026Breaking the Self-Confirming Loop: Diagnosing and Mitigating Systemic Reward Bias in Self-Rewarding RL
73. ICML 2026Broadening the Backdoor Basin: Understanding LLM Backdoors Collapse and Making Backdoors Persistent
74. ICML 2026Building Reliable Long-Form Generation via Hallucination Rejection Sampling
75. ICML 2026Building Social World Model with Large Language Models
76. ICML 2026C$^{2}$R: Cross-sample Consistency Regularization Mitigates Feature Splitting and Absorption in Sparse Autoencoders
77. ICML 2026CaliDist: Calibrating Large Language Models via Behavioral Robustness to Distraction
78. ICML 2026CapBencher: Give Your LLM Benchmark a Built-in Alarm for Test-Set Overfitting
79. ICML 2026Catch-22: On the Fundamental Tradeoff Between Detectability and Robustness in LLM Watermarking
80. ICML 2026Categorical Reparameterization with Denoising Diffusion Models
81. ICML 2026Causal Detection of Multi-Step LLM Agent Attacks
82. ICML 2026CausalArmor: Efficient Indirect Prompt Injection Guardrails via Causal Attribution
83. ICML 2026CausalX: A Unified and Causally-Interpretable Plug-and-Play Model for Multi-modal Spatio-Temporal Forecasting
84. ICML 2026CausalXRL: Explainable Reinforcement Learning through Causal Graph Reasoning
85. ICML 2026Causes and Consequences of Representational Similarity in Machine Learning Models
86. ICML 2026CB-SLICE: Concept-Based Interpretable Error Slice Discovery
87. ICML 2026Censoring with Plausible Deniability: Asymmetric Local Privacy for Multi-Category CDF Estimation
88. ICML 2026Cert-LAS: Toward Certified Model Ownership Verification for Text-to-Image Diffusion Models via Layer-Adaptive Smoothing
89. ICML 2026Certified Circuits: Stability Guarantees for Mechanistic Circuits
90. ICML 2026Chain-of-Thought Reasoning In The Wild Is Not Always Faithful
91. ICML 2026CLARITree: Cholesky and Lookahead Accelerations for Regression with Interpretable Piecewise Linear Trees
92. ICML 2026Cold-Start Personalization via Bayesian Adaptive Questioning
93. ICML 2026Collaborative Threshold Watermarking
94. ICML 2026ConEx: Human-Interpretable Saliency Maps via Concept-Aware Attribution
95. ICML 2026Conflict-Aware Adaptive Alignment for LLM Hallucination Mitigation
96. ICML 2026Conformal Path Reasoning: Trustworthy Knowledge Graph Question Answering via Path-Level Calibration
97. ICML 2026Consistency Training Can Entrench Misalignment
98. ICML 2026Contextual Slate GLM Bandits with Limited Adaptivity
99. ICML 2026Continual Learning With Participation Privacy: An Auditable Buffering-Aggregation Recipe
100. ICML 2026Contribution Weights: A Geometrical Analysis of Self-Attention Transformers

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.