社会层面 · accountability transparency and interpretability论文趋势 2023–2026

主要结论

• 社会层面 · accountability transparency and interpretability论文从 2023 年的 301 篇增长到 2026 年的 1,357 篇，三年间扩大到约 4.5 倍。
• NeurIPS 是发社会层面 · accountability transparency and interpretability论文最多的会议，2023–2026 年共 1,275 篇，占四个会议总量的 37%。
• 交叉方向里涨得最快的是社会层面 · privacy：同时属于两个主题的论文从 2023 年的 0 篇增至 2026 年的 93 篇。
• 在「对齐与负责任 AI」的 5 个主题里，它的 2026 年论文数排第 2；同组增长最快的社会层面 · safety是 93 倍，社会层面 · accountability transparency and interpretability是 4.5 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• 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

全部社会层面 · accountability transparency and interpretability论文

共 1,275 篇，第 17 / 26 页

801. NeurIPS 2025SAEMark: Steering Personalized Multilingual LLM Watermarks with Sparse Autoencoders
802. NeurIPS 2025Safety Depth in Large Language Models: A Markov Chain Perspective
803. NeurIPS 2025SAFEx: Analyzing Vulnerabilities of MoE-Based LLMs via Stable Safety-critical Expert Identification
804. NeurIPS 2025Sample-efficient Learning of Concepts with Theoretical Guarantees: from Data to Concepts without Interventions
805. NeurIPS 2025Scalable Fingerprinting of Large Language Models
806. NeurIPS 2025Scalable Neural Network Geometric Robustness Validation via Hölder Optimisation
807. NeurIPS 2025Scalable Valuation of Human Feedback through Provably Robust Model Alignment
808. NeurIPS 2025SECA: Semantically Equivalent and Coherent Attacks for Eliciting LLM Hallucinations
809. NeurIPS 2025Second-Order Convergence in Private Stochastic Non-Convex Optimization
810. NeurIPS 2025Secure and Confidential Certificates of Online Fairness
811. NeurIPS 2025Security Challenges in AI Agent Deployment: Insights from a Large Scale Public Competition
812. NeurIPS 2025Selective Omniprediction and Fair Abstention
813. NeurIPS 2025Semantic Representation Attack against Aligned Large Language Models
814. NeurIPS 2025Sequentially Auditing Differential Privacy
815. NeurIPS 2025SHAP Meets Tensor Networks: Provably Tractable Explanations with Parallelism
816. NeurIPS 2025SHAP values via sparse Fourier representation
817. NeurIPS 2025SHAP zero Explains Biological Sequence Models with Near-zero Marginal Cost for Future Queries
818. NeurIPS 2025Sharp Analysis for KL-Regularized Contextual Bandits and RLHF
819. NeurIPS 2025Short-length Adversarial Training Helps LLMs Defend Long-length Jailbreak Attacks: Theoretical and Empirical Evidence
820. NeurIPS 2025Shortcut Features as Top Eigenfunctions of NTK: A Linear Neural Network Case and More
821. NeurIPS 2025Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens
822. NeurIPS 2025Simple and Effective Specialized Representations for Fair Classifiers
823. NeurIPS 2025Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning
824. NeurIPS 2025SimWorld: An Open-ended Simulator for Agents in Physical and Social Worlds
825. NeurIPS 2025Size-adaptive Hypothesis Testing for Fairness
826. NeurIPS 2025Sketched Gaussian Mechanism for Private Federated Learning
827. NeurIPS 2025Smoothed Differentiation Efficiently Mitigates Shattered Gradients in Explanations
828. NeurIPS 2025SNEAKDOOR: Stealthy Backdoor Attacks against Distribution Matching-based Dataset Condensation
829. NeurIPS 2025Solving Discrete (Semi) Unbalanced Optimal Transport with Equivalent Transformation Mechanism and KKT-Multiplier Regularization
830. NeurIPS 2025SOMBRL: Scalable and Optimistic Model-Based RL
831. NeurIPS 2025Some Optimizers are More Equal: Understanding the Role of Optimizers in Group Fairness
832. NeurIPS 2025Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models
833. NeurIPS 2025Spectral Conditioning of Attention Improves Transformer Performance
834. NeurIPS 2025SpEx: A Spectral Approach to Explainable Clustering
835. NeurIPS 2025Spike-timing-dependent Hebbian learning as noisy gradient descent
836. NeurIPS 2025Spurious-Aware Prototype Refinement for Reliable Out-of-Distribution Detection
837. NeurIPS 2025Stability and Sharper Risk Bounds with Convergence Rate $\tilde{O}(1/n^2)$
838. NeurIPS 2025Stable Matching with Ties: Approximation Ratios and Learning
839. NeurIPS 2025StableGuard: Towards Unified Copyright Protection and Tamper Localization in Latent Diffusion Models
840. NeurIPS 2025STEAD: Robust Provably Secure Linguistic Steganography with Diffusion Language Model
841. NeurIPS 2025SteerConf: Steering LLMs for Confidence Elicitation
842. NeurIPS 2025Steering Information Utility in Key-Value Memory for Language Model Post-Training
843. NeurIPS 2025StegoZip: Enhancing Linguistic Steganography Payload in Practice with Large Language Models
844. NeurIPS 2025STEP: A Unified Spiking Transformer Evaluation Platform for Fair and Reproducible Benchmarking
845. NeurIPS 2025Stop DDoS Attacking the Research Community with AI-Generated Survey Papers
846. NeurIPS 2025Strassen Attention, Split VC Dimension and Compositionality in Transformers
847. NeurIPS 2025Strategic Classification with Non-Linear Classifiers
848. NeurIPS 2025Strategic Cost Selection in Participatory Budgeting
849. NeurIPS 2025Strategic Costs of Perceived Bias in Fair Selection
850. NeurIPS 2025Strategic Hypothesis Testing

常见问题

2023–2026 年四大会议一共有多少篇社会层面 · accountability transparency and interpretability论文？

共 3,411 篇，按年份分别是 2023 年 301 篇、2024 年 589 篇、2025 年 1,164 篇、2026 年 1,357 篇。

NeurIPS 2026 有多少篇社会层面 · accountability transparency and interpretability论文？

NeurIPS 2026 有 416 篇社会层面 · accountability transparency and interpretability论文，上一届是 522 篇。

ICLR 2026 有多少篇社会层面 · accountability transparency and interpretability论文？

ICLR 2026 有 292 篇社会层面 · accountability transparency and interpretability论文，上一届是 211 篇。

ICML 2026 有多少篇社会层面 · accountability transparency and interpretability论文？

ICML 2026 有 541 篇社会层面 · accountability transparency and interpretability论文，上一届是 337 篇。

CVPR 2026 有多少篇社会层面 · accountability transparency and interpretability论文？

CVPR 2026 有 108 篇社会层面 · accountability transparency and interpretability论文，上一届是 94 篇。

哪个会议的社会层面 · accountability transparency and interpretability论文最多？

NeurIPS，2023–2026 年共 1,275 篇。