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 15 of 23

701. ICML 2025Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes
702. ICML 2025Learning Classifiers That Induce Markets
703. ICML 2025Learning Distribution-wise Control in Representation Space for Language Models
704. ICML 2025Learning Latent Graph Structures and their Uncertainty
705. ICML 2025Learning Multi-Level Features with Matryoshka Sparse Autoencoders
706. ICML 2025Learning Soft Sparse Shapes for Efficient Time-Series Classification
707. ICML 2025Learning to Route LLMs with Confidence Tokens
708. ICML 2025LEMoN: Label Error Detection using Multimodal Neighbors
709. ICML 2025Leveraging Model Guidance to Extract Training Data from Personalized Diffusion Models
710. ICML 2025Leveraging Predictive Equivalence in Decision Trees
711. ICML 2025Leveraging Randomness in Model and Data Partitioning for Privacy Amplification
712. ICML 2025Lightweight Protocols for Distributed Private Quantile Estimation
713. ICML 2025LIMEFLDL: A Local Interpretable Model-Agnostic Explanations Approach for Label Distribution Learning
714. ICML 2025Linear Bandits with Partially Observable Features
715. ICML 2025Looking Beyond the Top-1: Transformers Determine Top Tokens in Order
716. ICML 2025Loss Functions and Operators Generated by f-Divergences
717. ICML 2025Low-Rank Adapting Models for Sparse Autoencoders
718. ICML 2025Machines and Mathematical Mutations: Using GNNs to Characterize Quiver Mutation Classes
719. ICML 2025Maintaining Proportional Committees with Dynamic Candidate Sets
720. ICML 2025Massive Values in Self-Attention Modules are the Key to Contextual Knowledge Understanding
721. ICML 2025Measuring Diversity: Axioms and Challenges
722. ICML 2025Measuring In-Context Computation Complexity via Hidden State Prediction
723. ICML 2025Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization
724. ICML 2025MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents
725. ICML 2025MemFreezing: A Novel Adversarial Attack on Temporal Graph Neural Networks under Limited Future Knowledge
726. ICML 2025MIB: A Mechanistic Interpretability Benchmark
727. ICML 2025Mind the Gap: A Practical Attack on GGUF Quantization
728. ICML 2025Minimalist Concept Erasure in Generative Models
729. ICML 2025Mitigating Local Cohesion and Global Sparseness in Graph Contrastive Learning with Fuzzy Boundaries
730. ICML 2025MixBridge: Heterogeneous Image-to-Image Backdoor Attack through Mixture of Schrödinger Bridges
731. ICML 2025Mixture of Experts Made Intrinsically Interpretable
732. ICML 2025MP-Nav: Enhancing Data Poisoning Attacks against Multimodal Learning
733. ICML 2025Multiaccuracy and Multicalibration via Proxy Groups
734. ICML 2025Navigating the Social Welfare Frontier: Portfolios for Multi-objective Reinforcement Learning
735. ICML 2025Near-Optimal Decision Trees in a SPLIT Second
736. ICML 2025Neural Collapse Beyond the Unconstrained Features Model: Landscape, Dynamics, and Generalization in the Mean-Field Regime
737. ICML 2025Noisy SIGNSGD Is More Differentially Private Than You (Might) Think
738. ICML 2025Non-Asymptotic and Non-Lipschitzian Bounds on Optimal Values in Stochastic Optimization Under Heavy Tails
739. ICML 2025Not All Wrong is Bad: Using Adversarial Examples for Unlearning
740. ICML 2025Omni-Angle Assault: An Invisible and Powerful Physical Adversarial Attack on Face Recognition
741. ICML 2025On Explaining Equivariant Graph Networks via Improved Relevance Propagation
742. ICML 2025On Expressive Power of Looped Transformers: Theoretical Analysis and Enhancement via Timestep Encoding
743. ICML 2025On the Benefits of Active Data Collection in Operator Learning
744. ICML 2025On the Impact of Performative Risk Minimization for Binary Random Variables
745. ICML 2025On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks
746. ICML 2025On the Private Estimation of Smooth Transport Maps
747. ICML 2025On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents
748. ICML 2025One Wave To Explain Them All: A Unifying Perspective On Feature Attribution
749. ICML 2025Optimal and Practical Batched Linear Bandit Algorithm
750. ICML 2025Optimal Decision Tree Pruning Revisited: Algorithms and Complexity

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.