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

1,275 papers, page 10 of 26

451. NeurIPS 2025Analogy-based Multi-Turn Jailbreak against Large Language Models
452. NeurIPS 2025Angular Steering: Behavior Control via Rotation in Activation Space
453. NeurIPS 2025Artificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond)
454. NeurIPS 2025Assignments for Congestion-Averse Agents: Seeking Competitive and Envy-Free Solutions
455. NeurIPS 2025Asymmetric REINFORCE for off-Policy Reinforcement Learning: Balancing positive and negative rewards
456. NeurIPS 2025Asymptotics of SGD in Sequence-Single Index Models and Single-Layer Attention Networks
457. NeurIPS 2025Attack by Yourself: Effective and Unnoticeable Multi-Category Graph Backdoor Attacks with Subgraph Triggers Pool
458. NeurIPS 2025Attention Mechanism, Max-Affine Partition, and Universal Approximation
459. NeurIPS 2025Attractive Metadata Attack: Inducing LLM Agents to Invoke Malicious Tools
460. NeurIPS 2025Audits Under Resource, Data, and Access Constraints: Scaling Laws For Less Discriminatory Alternatives
461. NeurIPS 2025Auto-Search and Refinement: An Automated Framework for Gender Bias Mitigation in Large Language Models
462. NeurIPS 2025Automated Composition of Agents: A Knapsack Approach for Agentic Component Selection
463. NeurIPS 2025Backdoor Cleaning without External Guidance in MLLM Fine-tuning
464. NeurIPS 2025Bandit and Delayed Feedback in Online Structured Prediction
465. NeurIPS 2025Better Language Model Inversion by Compactly Representing Next-Token Distributions
466. NeurIPS 2025Better Training Data Attribution via Better Inverse Hessian-Vector Products
467. NeurIPS 2025Beyond Components: Singular Vector-Based Interpretability of Transformer Circuits
468. NeurIPS 2025Beyond Expectations: Quantile-Guided Alignment for Risk-Calibrated Language Models
469. NeurIPS 2025Beyond Least Squares: Uniform Approximation and the Hidden Cost of Misspecification
470. NeurIPS 2025Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking
471. NeurIPS 2025Beyond Prediction: Managing the Repercussions of Machine Learning Applications
472. NeurIPS 2025Bigram Subnetworks: Mapping to Next Tokens in Transformer Language Models
473. NeurIPS 2025Bilevel Network Learning via Hierarchically Structured Sparsity
474. NeurIPS 2025BioOSS: A Bio-Inspired Oscillatory State System with Spatio-Temporal Dynamics
475. NeurIPS 2025Bits Leaked per Query: Information-Theoretic Bounds for Adversarial Attacks on LLMs
476. NeurIPS 2025Black-Box Membership Inference Attack for LVLMs via Prior Knowledge-Calibrated Memory Probing
477. NeurIPS 2025Boosting the Uniqueness of Neural Networks Fingerprints with Informative Triggers
478. NeurIPS 2025BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection
479. NeurIPS 2025Bridging Brains and Concepts: Interpretable Visual Decoding from fMRI with Semantic Bottlenecks
480. NeurIPS 2025Bridging Critical Gaps in Convergent Learning: How Representational Alignment Evolves Across Layers, Training, and Distribution Shifts
481. NeurIPS 2025Bridging Symmetry and Robustness: On the Role of Equivariance in Enhancing Adversarial Robustness
482. NeurIPS 2025C-SafeGen: Certified Safe LLM Generation with Claim-Based Streaming Guardrails
483. NeurIPS 2025CALM: Culturally Self-Aware Language Models
484. NeurIPS 2025Can We Infer Confidential Properties of Training Data from LLMs?
485. NeurIPS 2025CAPability: A Comprehensive Visual Caption Benchmark for Evaluating Both Correctness and Thoroughness
486. NeurIPS 2025Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework
487. NeurIPS 2025Causal Climate Emulation with Bayesian Filtering
488. NeurIPS 2025Causal Differentiating Concepts: Interpreting LM Behavior via Causal Representation Learning
489. NeurIPS 2025Causally Reliable Concept Bottleneck Models
490. NeurIPS 2025Certifying Concavity and Monotonicity in Games via Sum-of-Squares Hierarchies
491. NeurIPS 2025Channel Matters: Estimating Channel Influence for Multivariate Time Series
492. NeurIPS 2025CHASM: Unveiling Covert Advertisements on Chinese Social Media
493. NeurIPS 2025CHiQPM: Calibrated Hierarchical Interpretable Image Classification
494. NeurIPS 2025Clip-and-Verify: Linear Constraint-Driven Domain Clipping for Accelerating Neural Network Verification
495. NeurIPS 2025Collaborative Reasoner: Self-Improving Social Agents with Synthetic Conversations
496. NeurIPS 2025Collective Counterfactual Explanations: Balancing Individual Goals and Collective Dynamics
497. NeurIPS 2025Concept Incongruence: An Exploration of Time and Death in Role Playing
498. NeurIPS 2025Concept-Guided Interpretability via Neural Chunking
499. NeurIPS 2025Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models
500. NeurIPS 2025Conformal Prediction in The Loop: A Feedback-Based Uncertainty Model for Trajectory Optimization

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.