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 3,411 篇，第 54 / 69 页

2651. ICLR 2024How do Language Models Bind Entities in Context?
2652. ICLR 2024Improving Convergence and Generalization Using Parameter Symmetries
2653. ICLR 2024In-Context Learning Dynamics with Random Binary Sequences
2654. ICLR 2024Inherently Interpretable Time Series Classification via Multiple Instance Learning
2655. ICLR 2024Interpreting CLIP's Image Representation via Text-Based Decomposition
2656. ICLR 2024Is This the Subspace You Are Looking for? An Interpretability Illusion for Subspace Activation Patching
2657. ICLR 2024JoMA: Demystifying Multilayer Transformers via Joint Dynamics of MLP and Attention
2658. ICLR 2024Language Models Represent Space and Time
2659. ICLR 2024Linearity of Relation Decoding in Transformer Language Models
2660. ICLR 2024Masks, Signs, And Learning Rate Rewinding
2661. ICLR 2024Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks
2662. ICLR 2024Meta-Learning Priors Using Unrolled Proximal Networks
2663. ICLR 2024More is Better: when Infinite Overparameterization is Optimal and Overfitting is Obligatory
2664. ICLR 2024Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on HuggingFace
2665. ICLR 2024Non-negative Contrastive Learning
2666. ICLR 2024On Double Descent in Reinforcement Learning with LSTD and Random Features
2667. ICLR 2024On gauge freedom, conservativity and intrinsic dimensionality estimation in diffusion models
2668. ICLR 2024On Representation Complexity of Model-based and Model-free Reinforcement Learning
2669. ICLR 2024On the Over-Memorization During Natural, Robust and Catastrophic Overfitting
2670. ICLR 2024On the Scalability and Memory Efficiency of Semidefinite Programs for Lipschitz Constant Estimation of Neural Networks
2671. ICLR 2024Optimal Sketching for Residual Error Estimation for Matrix and Vector Norms
2672. ICLR 2024Piecewise Linear Parametrization of Policies: Towards Interpretable Deep Reinforcement Learning
2673. ICLR 2024Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models
2674. ICLR 2024PRIME: Prioritizing Interpretability in Failure Mode Extraction
2675. ICLR 2024Quantifying the Plausibility of Context Reliance in Neural Machine Translation
2676. ICLR 2024Reconciling Spatial and Temporal Abstractions for Goal Representation
2677. ICLR 2024Respect the model: Fine-grained and Robust Explanation with Sharing Ratio Decomposition
2678. ICLR 2024Role of Locality and Weight Sharing in Image-Based Tasks: A Sample Complexity Separation between CNNs, LCNs, and FCNs
2679. ICLR 2024Simplicial Representation Learning with Neural $k$-Forms
2680. ICLR 2024Social Reward: Evaluating and Enhancing Generative AI through Million-User Feedback from an Online Creative Community
2681. ICLR 2024Social-Transmotion: Promptable Human Trajectory Prediction
2682. ICLR 2024Some Fundamental Aspects about Lipschitz Continuity of Neural Networks
2683. ICLR 2024SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents
2684. ICLR 2024Sparse Autoencoders Find Highly Interpretable Features in Language Models
2685. ICLR 2024Stochastic Modified Equations and Dynamics of Dropout Algorithm
2686. ICLR 2024Subtractive Mixture Models via Squaring: Representation and Learning
2687. ICLR 2024Successor Heads: Recurring, Interpretable Attention Heads In The Wild
2688. ICLR 2024Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs
2689. ICLR 2024The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models
2690. ICLR 2024The Hidden Language of Diffusion Models
2691. ICLR 2024The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting — An Analytical Model
2692. ICLR 2024The mechanistic basis of data dependence and abrupt learning in an in-context classification task
2693. ICLR 2024To Grok or not to Grok: Disentangling Generalization and Memorization on Corrupted Algorithmic Datasets
2694. ICLR 2024Towards Best Practices of Activation Patching in Language Models: Metrics and Methods
2695. ICLR 2024Towards Transparent Time Series Forecasting
2696. ICLR 2024Towards Understanding Factual Knowledge of Large Language Models
2697. ICLR 2024Understanding Addition in Transformers
2698. ICLR 2024Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models
2699. ICLR 2024Unraveling the Enigma of Double Descent: An In-depth Analysis through the Lens of Learned Feature Space
2700. ICLR 2024Unveiling and Manipulating Prompt Influence in Large Language Models

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。