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

3,411 papers, page 61 of 69

3001. NeurIPS 2024No Free Delivery Service: Epistemic limits of passive data collection in complex social systems
3002. NeurIPS 2024Non-Euclidean Mixture Model for Social Network Embedding
3003. NeurIPS 2024On Sparse Canonical Correlation Analysis
3004. NeurIPS 2024On the cohesion and separability of average-link for hierarchical agglomerative clustering
3005. NeurIPS 2024On the Complexity of Learning Sparse Functions with Statistical and Gradient Queries
3006. NeurIPS 2024On the Minimax Regret for Contextual Linear Bandits and Multi-Armed Bandits with Expert Advice
3007. NeurIPS 2024On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Games
3008. NeurIPS 2024On the Stability and Generalization of Meta-Learning
3009. NeurIPS 2024One Sample Fits All: Approximating All Probabilistic Values Simultaneously and Efficiently
3010. NeurIPS 2024Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?
3011. NeurIPS 2024Optimal ablation for interpretability
3012. NeurIPS 2024Optimal Multiclass U-Calibration Error and Beyond
3013. NeurIPS 2024Parameter Symmetry and Noise Equilibrium of Stochastic Gradient Descent
3014. NeurIPS 2024PEACE: A Dataset of Pharmaceutical Care for Cancer Pain Analgesia Evaluation and Medication Decision
3015. NeurIPS 2024Pedestrian-Centric 3D Pre-collision Pose and Shape Estimation from Dashcam Perspective
3016. NeurIPS 2024Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs
3017. NeurIPS 2024Pre-trained Large Language Models Use Fourier Features to Compute Addition
3018. NeurIPS 2024Prejudice and Volatility: A Statistical Framework for Measuring Social Discrimination in Large Language Models
3019. NeurIPS 2024Probabilistic size-and-shape functional mixed models
3020. NeurIPS 2024ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons
3021. NeurIPS 2024Proportional Fairness in Clustering: A Social Choice Perspective
3022. NeurIPS 2024Provable Benefit of Cutout and CutMix for Feature Learning
3023. NeurIPS 2024Provable Tempered Overfitting of Minimal Nets and Typical Nets
3024. NeurIPS 2024QTIP: Quantization with Trellises and Incoherence Processing
3025. NeurIPS 2024Quality-Improved and Property-Preserved Polarimetric Imaging via Complementarily Fusing
3026. NeurIPS 2024QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs
3027. NeurIPS 2024Questioning the Survey Responses of Large Language Models
3028. NeurIPS 2024RashomonGB: Analyzing the Rashomon Effect and Mitigating Predictive Multiplicity in Gradient Boosting
3029. NeurIPS 2024Realizable $H$-Consistent and Bayes-Consistent Loss Functions for Learning to Defer
3030. NeurIPS 2024ReFT: Representation Finetuning for Language Models
3031. NeurIPS 2024Refusal in Language Models Is Mediated by a Single Direction
3032. NeurIPS 2024RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks
3033. NeurIPS 2024Relational Concept Bottleneck Models
3034. NeurIPS 2024Replicability in Learning: Geometric Partitions and KKM-Sperner Lemma
3035. NeurIPS 2024Reproducibility study of "Robust Fair Clustering: A Novel Fairness Attack and Defense Framework"
3036. NeurIPS 2024Reproducibility Study of "Robust Fair Clustering: A Novel Fairness Attack and Defense Framework"
3037. NeurIPS 2024Rethinking Decoders for Transformer-based Semantic Segmentation: A Compression Perspective
3038. NeurIPS 2024Revisiting K-mer Profile for Effective and Scalable Genome Representation Learning
3039. NeurIPS 2024Robust group and simultaneous inferences for high-dimensional single index model
3040. NeurIPS 2024Safe Exploitative Play with Untrusted Type Beliefs
3041. NeurIPS 2024SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning
3042. NeurIPS 2024Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations
3043. NeurIPS 2024Selective Explanations
3044. NeurIPS 2024Semantics and Spatiality of Emergent Communication
3045. NeurIPS 2024Semi-Discrete Optimal Transport: Nearly Minimax Estimation With Stochastic Gradient Descent and Adaptive Entropic Regularization
3046. NeurIPS 2024Separation and Bias of Deep Equilibrium Models on Expressivity and Learning Dynamics
3047. NeurIPS 2024Separations in the Representational Capabilities of Transformers and Recurrent Architectures
3048. NeurIPS 2024Sequoia: Scalable and Robust Speculative Decoding
3049. NeurIPS 2024SETBENCH: Assessing the Analytical and Semantic Robustness of Language Models
3050. NeurIPS 2024Soft ascent-descent as a stable and flexible alternative to flooding

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.