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

1,164 papers, page 19 of 24

901. NeurIPS 2025Learning Gradient Boosted Decision Trees with Algorithmic Recourse
902. NeurIPS 2025Learning in Compact Spaces with Approximately Normalized Transformer
903. NeurIPS 2025Learning to Add, Multiply, and Execute Algorithmic Instructions Exactly with Neural Networks
904. NeurIPS 2025Lie Detector: Unified Backdoor Detection via Cross-Examination Framework
905. NeurIPS 2025Lifelong Safety Alignment for Language Models
906. NeurIPS 2025LLM Generated Persona is a Promise with a Catch
907. NeurIPS 2025LLM Interpretability with Identifiable Temporal-Instantaneous Representation
908. NeurIPS 2025LLM Layers Immediately Correct Each Other
909. NeurIPS 2025LLM Strategic Reasoning: Agentic Study through Behavioral Game Theory
910. NeurIPS 2025LLM Unlearning via Neural Activation Redirection
911. NeurIPS 2025LLMs Encode Harmfulness and Refusal Separately
912. NeurIPS 2025Localizing Knowledge in Diffusion Transformers
913. NeurIPS 2025Locally Optimal Private Sampling: Beyond the Global Minimax
914. NeurIPS 2025LOMIA: Label-Only Membership Inference Attacks against Pre-trained Large Vision-Language Models
915. NeurIPS 2025Look-Ahead Reasoning on Learning Platforms
916. NeurIPS 2025LoRO: Real-Time on-Device Secure Inference for LLMs via TEE-Based Low Rank Obfuscation
917. NeurIPS 2025Low Rank Gradients and Where to Find Them
918. NeurIPS 2025Machine Unlearning in 3D Generation: A Perspective-Coherent Acceleration Framework
919. NeurIPS 2025Machine Unlearning via Task Simplex Arithmetic
920. NeurIPS 2025Manipulating Feature Visualizations with Gradient Slingshots
921. NeurIPS 2025Mask Image Watermarking
922. NeurIPS 2025Matchings Under Biased and Correlated Evaluations
923. NeurIPS 2025Measuring and Guiding Monosemanticity
924. NeurIPS 2025Mechanistic Interpretability of RNNs emulating Hidden Markov Models
925. NeurIPS 2025Median Selection with Noisy and Structural Information
926. NeurIPS 2025MEMOIR: Lifelong Model Editing with Minimal Overwrite and Informed Retention for LLMs
927. NeurIPS 2025Memory Injection Attacks on LLM Agents via Query-Only Interaction
928. NeurIPS 2025MetaMind: Modeling Human Social Thoughts with Metacognitive Multi-Agent Systems
929. NeurIPS 2025Metritocracy: Representative Metrics for Lite Benchmarks
930. NeurIPS 2025MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework
931. NeurIPS 2025MIBP-Cert: Certified Training against Data Perturbations with Mixed-Integer Bilinear Programs
932. NeurIPS 2025Minimax-Optimal Univariate Function Selection in Sparse Additive Models: Rates, Adaptation, and the Estimation-Selection Gap
933. NeurIPS 2025Minimizing False-Positive Attributions in Explanations of Non-Linear Models
934. NeurIPS 2025Mitigating the Privacy–Utility Trade-off in Decentralized Federated Learning via f-Differential Privacy
935. NeurIPS 2025Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging
936. NeurIPS 2025MIX: A Multi-view Time-Frequency Interactive Explanation Framework for Time Series Classification
937. NeurIPS 2025MixAT: Combining Continuous and Discrete Adversarial Training for LLMs
938. NeurIPS 2025MLEP: Multi-granularity Local Entropy Patterns for Generalized AI-generated Image Detection
939. NeurIPS 2025MLIP Arena: Advancing Fairness and Transparency in Machine Learning Interatomic Potentials via an Open, Accessible Benchmark Platform
940. NeurIPS 2025MMPB: It’s Time for Multi-Modal Personalization
941. NeurIPS 2025Modeling the Economic Impacts of AI Openness Regulation
942. NeurIPS 2025Monoculture or Multiplicity: Which Is It?
943. NeurIPS 2025MOTION: Multi-Sculpt Evolutionary Coarsening for Federated Continual Graph Learning
944. NeurIPS 2025MPCache: MPC-Friendly KV Cache Eviction for Efficient Private LLM Inference
945. NeurIPS 2025Multi-Class Support Vector Machine with Differential Privacy
946. NeurIPS 2025Multi-order Orchestrated Curriculum Distillation for Model-Heterogeneous Federated Graph Learning
947. NeurIPS 2025Multidimensional Bayesian Utility Maximization: Tight Approximations to Welfare
948. NeurIPS 2025Neural Collapse is Globally Optimal in Deep Regularized ResNets and Transformers
949. NeurIPS 2025Neural Correlates of Serial Dependence: Synaptic Short-term Plasticity Orchestrates Repulsion and Attraction
950. NeurIPS 2025Neural Rule Lists: Learning Discretizations, Rules, and Order in One Go

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.