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

292 papers, page 3 of 6

101. ICLR 2026Fresh in memory: Training-order recency is linearly encoded in language model activations
102. ICLR 2026From Concepts to Components: Concept-Agnostic Attention Module Discovery in Transformers
103. ICLR 2026From Markov to Laplace: How Mamba In-Context Learns Markov Chains
104. ICLR 2026From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning
105. ICLR 2026FS-KAN: Permutation Equivariant Kolmogorov-Arnold Networks via Function Sharing
106. ICLR 2026Function Induction and Task Generalization: An Interpretability Study with Off-by-One Addition
107. ICLR 2026GAVEL: Towards Rule-Based Safety through Activation Monitoring
108. ICLR 2026GNN Explanations that do not Explain and How to find Them
109. ICLR 2026GPTailor: Large Language Model Pruning Through Layer Cutting and Stitching
110. ICLR 2026GRADIEND: Feature Learning within Neural Networks Exemplified through Biases
111. ICLR 2026Graph Mixing Additive Networks
112. ICLR 2026Grokking in LLM Pretraining? Monitor Memorization-to-Generalization without Test
113. ICLR 2026Hallucination Reduction with CASAL: Contrastive Activation Steering for Amortized Learning
114. ICLR 2026Hedonic Neurons: A Mechanistic Mapping of Latent Coalitions in Transformer MLPs
115. ICLR 2026Hidden Breakthroughs in Language Model Training
116. ICLR 2026HiDivDrop: Vision Token Reduction in MLLMs via Late Injection and Differentiable Top-K
117. ICLR 2026How Do Transformers Learn to Associate Tokens: Gradient Leading Terms Bring Mechanistic Interpretability
118. ICLR 2026How hard is learning to cut? Trade-offs and sample complexity
119. ICLR 2026How Muon’s Spectral Design Benefits Generalization: A Study on Imbalanced Data
120. ICLR 2026How NOT to benchmark your SITE metric: Beyond Static Leaderboards and Towards Realistic Evaluation.
121. ICLR 2026How to Square Tensor Networks and Circuits Without Squaring Them
122. ICLR 2026HSSBench: Benchmarking Humanities and Social Sciences Ability for Multimodal Large Language Models
123. ICLR 2026Human Behavior Atlas: Benchmarking Unified Psychological And Social Behavior Understanding
124. ICLR 2026HUMOF: Human Motion Forecasting in Interactive Social Scenes
125. ICLR 2026Hyper-SET: Designing Transformers via Hyperspherical Energy Minimization
126. ICLR 2026I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data?
127. ICLR 2026Identifying and Evaluating Inactive Heads in Pretrained LLMs
128. ICLR 2026In-Context Algebra
129. ICLR 2026Influence Dynamics and Stagewise Data Attribution
130. ICLR 2026INSTANT: Compressing Gradients and Activations for Resource-Efficient Training
131. ICLR 2026Internal Planning in Language Models: Characterizing Horizon and Branch Awareness
132. ICLR 2026Interpretable 3D Neural Object Volumes for Robust Conceptual Reasoning
133. ICLR 2026Into the Rabbit Hull: From Task-Relevant Concepts in DINO to Minkowski Geometry
134. ICLR 2026Jet Expansions: Restructuring LLM Computation for Model Inspection
135. ICLR 2026Joint Distribution–Informed Shapley Values for Sparse Counterfactual Explanations
136. ICLR 2026Knowledge Editing with Subspace-Aware Key-Value Mappings
137. ICLR 2026LABEL-FREE MITIGATION OF SPURIOUS CORRELATIONS IN VLMS USING SPARSE AUTOENCODERS
138. ICLR 2026Language and Experience: A Computational Model of Social Learning in Complex Tasks
139. ICLR 2026Language Models are Injective and Hence Invertible
140. ICLR 2026Language Models Use Lookbacks to Track Beliefs
141. ICLR 2026Language-Instructed Vision Embeddings for Controllable and Generalizable Perception
142. ICLR 2026Latent Concept Disentanglement in Transformer-based Language Models
143. ICLR 2026Latent Planning Emerges with Scale
144. ICLR 2026LatentQA: Teaching LLMs to Decode Activations Into Natural Language
145. ICLR 2026Learning AND–OR Templates for Compositional Representation in Art and Design
146. ICLR 2026Learning for Highly Faithful Explainability
147. ICLR 2026Learning is Forgetting; LLM Training As Lossy Compression
148. ICLR 2026Learning multimodal dictionary decompositions with group-sparse autoencoders
149. ICLR 2026Learning on a Razor’s Edge: Identifiability and Singularity of Polynomial Neural Networks
150. ICLR 2026Learning Pseudorandom Numbers with Transformers: Permuted Congruential Generators, Curricula, and Interpretability

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.