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 15 of 24

701. NeurIPS 2025Bits Leaked per Query: Information-Theoretic Bounds for Adversarial Attacks on LLMs
702. NeurIPS 2025Black-Box Membership Inference Attack for LVLMs via Prior Knowledge-Calibrated Memory Probing
703. NeurIPS 2025Boosting the Uniqueness of Neural Networks Fingerprints with Informative Triggers
704. NeurIPS 2025BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection
705. NeurIPS 2025Bridging Brains and Concepts: Interpretable Visual Decoding from fMRI with Semantic Bottlenecks
706. NeurIPS 2025Bridging Critical Gaps in Convergent Learning: How Representational Alignment Evolves Across Layers, Training, and Distribution Shifts
707. NeurIPS 2025Bridging Symmetry and Robustness: On the Role of Equivariance in Enhancing Adversarial Robustness
708. NeurIPS 2025C-SafeGen: Certified Safe LLM Generation with Claim-Based Streaming Guardrails
709. NeurIPS 2025CALM: Culturally Self-Aware Language Models
710. NeurIPS 2025Can We Infer Confidential Properties of Training Data from LLMs?
711. NeurIPS 2025CAPability: A Comprehensive Visual Caption Benchmark for Evaluating Both Correctness and Thoroughness
712. NeurIPS 2025Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework
713. NeurIPS 2025Causal Climate Emulation with Bayesian Filtering
714. NeurIPS 2025Causal Differentiating Concepts: Interpreting LM Behavior via Causal Representation Learning
715. NeurIPS 2025Causally Reliable Concept Bottleneck Models
716. NeurIPS 2025Certifying Concavity and Monotonicity in Games via Sum-of-Squares Hierarchies
717. NeurIPS 2025Channel Matters: Estimating Channel Influence for Multivariate Time Series
718. NeurIPS 2025CHASM: Unveiling Covert Advertisements on Chinese Social Media
719. NeurIPS 2025CHiQPM: Calibrated Hierarchical Interpretable Image Classification
720. NeurIPS 2025Clip-and-Verify: Linear Constraint-Driven Domain Clipping for Accelerating Neural Network Verification
721. NeurIPS 2025Collaborative Reasoner: Self-Improving Social Agents with Synthetic Conversations
722. NeurIPS 2025Collective Counterfactual Explanations: Balancing Individual Goals and Collective Dynamics
723. NeurIPS 2025Concept Incongruence: An Exploration of Time and Death in Role Playing
724. NeurIPS 2025Concept-Guided Interpretability via Neural Chunking
725. NeurIPS 2025Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models
726. NeurIPS 2025Conformal Prediction in The Loop: A Feedback-Based Uncertainty Model for Trajectory Optimization
727. NeurIPS 2025Consensus-Robust Transfer Attacks via Parameter and Representation Perturbations
728. NeurIPS 2025Contextual Integrity in LLMs via Reasoning and Reinforcement Learning
729. NeurIPS 2025Contimask: Explaining Irregular Time Series via Perturbations in Continuous Time
730. NeurIPS 2025Continual Release Moment Estimation with Differential Privacy
731. NeurIPS 2025Continuity and Isolation Lead to Doubts or Dilemmas in Large Language Models
732. NeurIPS 2025Continuous Concepts Removal in Text-to-image Diffusion Models
733. NeurIPS 2025Controlling The Spread of Epidemics on Networks with Differential Privacy
734. NeurIPS 2025Controlling Thinking Speed in Reasoning Models
735. NeurIPS 2025Convergence Theorems for Entropy-Regularized and Distributional Reinforcement Learning
736. NeurIPS 2025CoP: Agentic Red-teaming for Large Language Models using Composition of Principles
737. NeurIPS 2025CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model Stealing in Edge Deployment
738. NeurIPS 2025Correcting misinterpretations of additive models
739. NeurIPS 2025Counteractive RL: Rethinking Core Principles for Efficient and Scalable Deep Reinforcement Learning
740. NeurIPS 2025Critical Batch Size Revisited: A Simple Empirical Approach to Large-Batch Language Model Training
741. NeurIPS 2025Cross-fluctuation phase transitions reveal sampling dynamics in diffusion models
742. NeurIPS 2025CryptoMoE: Privacy-Preserving and Scalable Mixture of Experts Inference via Balanced Expert Routing
743. NeurIPS 2025CTRL-ALT-DECEIT Sabotage Evaluations for Automated AI R&D
744. NeurIPS 2025CVGL: Causal Learning and Geometric Topology
745. NeurIPS 2025Data-Free Model Extraction for Black-box Recommender Systems via Graph Convolutions
746. NeurIPS 2025Deep Learning with Plausible Deniability
747. NeurIPS 2025Deep Value Benchmark: Measuring Whether Models Generalize Deep values or Shallow Preferences
748. NeurIPS 2025Deferring Concept Bottleneck Models: Learning to Defer Interventions to Inaccurate Experts
749. NeurIPS 2025Defining and Discovering Hyper-meta-paths for Heterogeneous Hypergraphs
750. NeurIPS 2025DEGauss: Defending Against Malicious 3D Editing for Gaussian Splatting

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.