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

1,124 papers, page 3 of 23

101. ICML 2026Controllable Molecule Generation via Sparse Representation Editing: An Interpretability-Driven Perspective
102. ICML 2026Convergence Rate Analysis of the AdamW-Style Shampoo: Unifying One-Sided and Two-Sided Preconditioning
103. ICML 2026CoopEval: Benchmarking Cooperation-Sustaining Mechanisms and LLM Agents in Social Dilemmas
104. ICML 2026CORE: Conflict-Oriented Reasoning for General Multimodal Manipulation Detection
105. ICML 2026Corrigibility Transformation: Constructing Goals That Accept Updates
106. ICML 2026Coupled Training with Privileged Information and Unlabeled Data
107. ICML 2026Data Provenance Auditing of Fine-Tuned Large Language Models with a Text-Preserving Technique
108. ICML 2026DataGuard: A Non-intrusive Dataset Auditing Framework via Differential Information Forensics
109. ICML 2026DAVE: Distribution-Aware Attribution via ViT Gradient Decomposition
110. ICML 2026DB-KSVD: Scalable Alternating Optimization for Disentangling High-Dimensional Embedding Spaces
111. ICML 2026DDIM Inversion as a Perturbation Amplifier: Breaking Mimicry Protection via Reconstruction Error Minimization
112. ICML 2026DecepChain: Inducing Deceptive Reasoning in Large Language Models
113. ICML 2026DecFus: Decentralized Layer-wise Fusion with Dynamic Exploration and Exploitation
114. ICML 2026Decomposing Query-Key Feature Interactions Using Contrastive Covariances
115. ICML 2026Decomposition-Based Modular Conformal Prediction for Two-Stage Modeling
116. ICML 2026Decoupling Regularization and Privacy in Differentially Private Ridge Regression and ERM
117. ICML 2026Deep neural networks divide and conquer dihedral multiplication
118. ICML 2026Deep Single-Index Fréchet Regression
119. ICML 2026Delving into Muon and Beyond: Deep Analysis and Extensions
120. ICML 2026Demystifying Mergeability: Interpretable Properties to Predict Model Merging Success
121. ICML 2026Demystifying the Optimal Fair Classifier in Multi-Class Classification
122. ICML 2026Detecting and Filtering Unsafe Training Data via Data Attribution with Denoised Representation
123. ICML 2026Detecting Fluent Optimization-Based Adversarial Prompts via Sequential Entropy Changes
124. ICML 2026dgMARK: Decoding-Guided Watermarking for Diffusion Language Models
125. ICML 2026DGS-Net: Distillation-Guided Gradient Surgery for CLIP Fine-Tuning in AI-Generated Image Detection
126. ICML 2026Diagnosing Multi-step Reasoning Failures in Black-box LLMs via Stepwise Confidence Attribution
127. ICML 2026Diagnosing the Reliability of LLM-as-a-Judge via Item Response Theory
128. ICML 2026Differentiable Optimization Layers for Guaranteed Fairness in Deep Learning
129. ICML 2026Differentially Private Continual Release with Relative Error
130. ICML 2026Differentially Private Cross-Silo Recommendation from Implicit Feedback
131. ICML 2026Differentially Private Geodesic Regression
132. ICML 2026Differentially Private Range Subgraph Counting
133. ICML 2026Differentially Private Submodular Maximization with a Knapsack Constraint
134. ICML 2026Diffusion Flow Matching: Dimension-Improved KL Bounds and Wasserstein Guarantees
135. ICML 2026Dimensional Collapse in Transformer Attention Outputs: A Challenge for Sparse Dictionary Learning
136. ICML 2026Directly Optimizing Natural Language Explanations for Behavioral Faithfulness: Simulatability and Recoverability
137. ICML 2026Discovering Differences in Strategic Behavior between Humans and LLMs
138. ICML 2026Discovering Implicit Large Language Model Alignment Objectives
139. ICML 2026Discovering Interpretable Algorithms by Decompiling Transformers to RASP
140. ICML 2026Disentangling Geometry, Performance, and Training in Language Models
141. ICML 2026Dismantling Pathological Shortcuts: A Causal Framework for Faithful LVLM Decoding
142. ICML 2026Dissect and Prune: Enhancing Robustness in AI-Generated Image Detection
143. ICML 2026Distortion of AI Alignment Revisited: RLHF is a Decent Utilitarian Aligner
144. ICML 2026Distributional Open-Ended Evaluation of LLM Cultural Value Alignment Based on Value Codebook
145. ICML 2026Distributionally Robust Reinforcement Learning from Human Feedback
146. ICML 2026Divergence Decoding: Inference-Time Unlearning via Auxiliary Models
147. ICML 2026DLM-Scope: Mechanistic Interpretability of Diffusion Language Models via Sparse Autoencoders
148. ICML 2026Do Activation Verbalization Methods Convey Privileged Information?
149. ICML 2026Do Language Models Track Entities Across State Changes?
150. ICML 2026Do LLMs “Feel”? Emotion Circuits Discovery and Control

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.