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

416 papers, page 3 of 9

101. NeurIPS 2026Efficient Retrosynthesis Prediction with Integral Flow Matching and Latent Inversion
102. NeurIPS 2026Embeddings for Preferences, Not Semantics
103. NeurIPS 2026Emergence, Retention and Mitigation of Ill-conditioning due to Basis Lifting in KANs
104. NeurIPS 2026Enhancing LLMs with Cognitive-Affective Personality Inference for Simulating Human Social-Psychological Behavior
105. NeurIPS 2026Ensemble Distributionally Robust Bayesian Optimisation
106. NeurIPS 2026Epistemic Social Learning: Latent Behavioral Structure under Endogenous Multi-Agent Interaction
107. NeurIPS 2026ERIS: Enhancing Privacy and Scalability in Federated Learning via Federated Shard Aggregation
108. NeurIPS 2026Escape the Context Manifold: Preventing DiT In-Context Editing via Conditional Flow Hijacking
109. NeurIPS 2026Evaluating Compositional Generalization in Transformers: The Role of Composition Equivalence and Module Coverage
110. NeurIPS 2026Evaluation Awareness in Language Models Has Limited Effect on Behaviour
111. NeurIPS 2026Even Sailors Need Calm Seas: Taming the Geometry of VLMs for Fast Adversarial Fine-Tuning
112. NeurIPS 2026Explaining and Breaking the Safety-Helpfulness Ceiling via Preference Dimensional Expansion
113. NeurIPS 2026Explanation of Dynamic Physical Field Predictions using WassersteinGrad: Application to Autoregressive Weather Forecasting
114. NeurIPS 2026Exposing Private Corpus Leakage in Multimodal RAG
115. NeurIPS 2026Extracting Search Trees from LLM Reasoning Traces Reveals Myopic Planning
116. NeurIPS 2026Eyes on VLM: Benchmarking Gaze Following and Social Gaze Prediction in Vision Language Models
117. NeurIPS 2026𝑓-Differential Privacy Filters: Validity and Approximate Solutions
118. NeurIPS 2026FairTune Market: A Fair and Trustworthy Marketplace for Fine-Tuned LLMs via Posted-Price & Proper-Scoring Mechanisms
119. NeurIPS 2026Fast and Consistent Structure Learning in Graphical Models via Approximate Cross-Validation
120. NeurIPS 2026Fast and Stable Triangular Inversion for Delta-Rule Linear Transformers
121. NeurIPS 2026Fast Approximate $\ell_p$ Chamfer Distance via Lopsided Embeddings and Structured JL
122. NeurIPS 2026Federate the Router: Learning Language Model Routers with Sparse and Decentralized Evaluations
123. NeurIPS 2026Federated Concept-Based Models: Interpretable models with distributed supervision
124. NeurIPS 2026FILOsofer: A TEE-Shielded Model Partitioning Framework based on Fisher Information-Guided LoRA Obfuscation
125. NeurIPS 2026Finding Interpretable Prompt-Specific Circuits in Language Models
126. NeurIPS 2026Fine-tuning Does Not Reach All: Uneven Safety and Knowledge Dynamics in Language Models
127. NeurIPS 2026Fisher information and the geometry of memorization in neural networks
128. NeurIPS 2026FiTS: Interpretable Spiking Neurons via Frequency Selectivity and Temporal Shaping
129. NeurIPS 2026FlowLeak: Coverage-Guided Extraction of Dynamic Workflows in LLM-Based Multi-Agent Systems
130. NeurIPS 2026Fourier Contour Learning for Efficient and Traceable Cardiac MRI Quantification
131. NeurIPS 2026From Density Matrices to Phase Transitions in Deep Learning: Spectral Early Warnings and Interpretability
132. NeurIPS 2026From Post-Hoc to Ante-Hoc: Consistently Explainable Semi-Supervised Time Series Classification
133. NeurIPS 2026From Static Geometry to Dynamical Singularity: Detecting Memorization in Diffusion Models via Score Evolution
134. NeurIPS 2026From Tokens to Tactics: Adversarial Text Optimization in an Axis-Aligned Rhetorical Strategy Space for Harmful Content Detection
135. NeurIPS 2026Gated DeltaNet-2: Decoupling Erase and Write in Linear Attention
136. NeurIPS 2026GEM: Interpretable Language Models via Geometric Embedding Alignment
137. NeurIPS 2026Generalization in Neural Networks Through the Lens of Magnitude Potential
138. NeurIPS 2026Generalized Adaptive Boosting and the Geometry of Mistakes
139. NeurIPS 2026GeoBiaset: A Counterfactual Benchmark for Demographic Bias in World-Level Geolocalization
140. NeurIPS 2026Geometry-Adaptive Explainer for Faithful Dictionary-Based Interpretability under Distribution Shift
141. NeurIPS 2026Geometry-Aware Optimal Transport: Fast Intrinsic Dimension and Wasserstein Distance Estimation
142. NeurIPS 2026Georeferenced Cross-View 3D Reconstruction from Ground and Satellite Images
143. NeurIPS 2026GOLIATH: Gradient Inversion of Tabular Diffusion Models
144. NeurIPS 2026Gradient Descent on Two ReLU Neurons: Global Landscape and Bifurcation Dynamics
145. NeurIPS 2026Gradient Routing Localizes and Removes Unintended Behaviors in RL
146. NeurIPS 2026Gradient-based Graph Structure Optimisation for Research Networks
147. NeurIPS 2026Gradient-Mine Units: Scorched-Earth Strategy for Model Protection against Unauthorized Fine-Tuning
148. NeurIPS 2026GradShield: Alignment Preserving Finetuning
149. NeurIPS 2026GramStatTexNet: Efficient, Interpretable, and Neuro-Inspired Texture Analysis-by-Synthesis
150. NeurIPS 2026Grounded or Fabricated? Unsupervised Detection of LLM Hallucinations via Contextualized Influence on Response Embeddings

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.