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 255 篇，第 2 / 6 页

51. NeurIPS 2024CoSy: Evaluating Textual Explanations of Neurons
52. NeurIPS 2024Crafting Interpretable Embeddings for Language Neuroscience by Asking LLMs Questions
53. NeurIPS 2024CryoBench: Datasets and Benchmarks for Heterogeneous Cryo-EM Reconstruction
54. NeurIPS 2024Data Distribution Valuation
55. NeurIPS 2024Data-faithful Feature Attribution: Mitigating Unobservable Confounders via Instrumental Variables
56. NeurIPS 2024Decision-Making Behavior Evaluation Framework for LLMs under Uncertain Context
57. NeurIPS 2024Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP
58. NeurIPS 2024Delving into the Reversal Curse: How Far Can Large Language Models Generalize?
59. NeurIPS 2024Denoising Diffusion Path: Attribution Noise Reduction with An Auxiliary Diffusion Model
60. NeurIPS 2024DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning
61. NeurIPS 2024DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers
62. NeurIPS 2024Diffusion PID: Interpreting Diffusion via Partial Information Decomposition
63. NeurIPS 2024Discovering plasticity rules that organize and maintain neural circuits
64. NeurIPS 2024Disentangling and mitigating the impact of task similarity for continual learning
65. NeurIPS 2024Dissecting Query-Key Interaction in Vision Transformers
66. NeurIPS 2024Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation
67. NeurIPS 2024Divergences between Language Models and Human Brains
68. NeurIPS 2024Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers
69. NeurIPS 2024Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning
70. NeurIPS 2024DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation
71. NeurIPS 2024Dynamic Service Fee Pricing under Strategic Behavior: Actions as Instruments and Phase Transition
72. NeurIPS 2024EEVR: A Virtual Reality-Based Emotion Dataset Featuring Paired Physiological Signals and Textual Descriptions
73. NeurIPS 2024Efficient Sketches for Training Data Attribution and Studying the Loss Landscape
74. NeurIPS 2024Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space
75. NeurIPS 2024emg2pose: A Large and Diverse Benchmark for Surface Electromyographic Hand Pose Estimation
76. NeurIPS 2024Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection
77. NeurIPS 2024Evidence of Learned Look-Ahead in a Chess-Playing Neural Network
78. NeurIPS 2024Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport
79. NeurIPS 2024Explanations that reveal all through the definition of encoding
80. NeurIPS 2024Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks
81. NeurIPS 2024Fairness in Social Influence Maximization via Optimal Transport
82. NeurIPS 2024FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models
83. NeurIPS 2024FFAM: Feature Factorization Activation Map for Explanation of 3D Detectors
84. NeurIPS 2024Finding Transformer Circuits With Edge Pruning
85. NeurIPS 2024Graph Neural Networks and Arithmetic Circuits
86. NeurIPS 2024Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models
87. NeurIPS 2024Great Minds Think Alike: The Universal Convergence Trend of Input Salience
88. NeurIPS 2024GREATS: Online Selection of High-Quality Data for LLM Training in Every Iteration
89. NeurIPS 2024Grokking of Implicit Reasoning in Transformers: A Mechanistic Journey to the Edge of Generalization
90. NeurIPS 2024HyperLogic: Enhancing Diversity and Accuracy in Rule Learning with HyperNets
91. NeurIPS 2024Hypothesis Testing the Circuit Hypothesis in LLMs
92. NeurIPS 2024Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
93. NeurIPS 2024Improving Decision Sparsity
94. NeurIPS 2024Improving Sparse Decomposition of Language Model Activations with Gated Sparse Autoencoders
95. NeurIPS 2024In-Context Learning State Vector with Inner and Momentum Optimization
96. NeurIPS 2024Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models
97. NeurIPS 2024Initialization is Critical to Whether Transformers Fit Composite Functions by Reasoning or Memorizing
98. NeurIPS 2024Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models
99. NeurIPS 2024Integrating GNN and Neural ODEs for Estimating Non-Reciprocal Two-Body Interactions in Mixed-Species Collective Motion
100. NeurIPS 2024InterpBench: Semi-Synthetic Transformers for Evaluating Mechanistic Interpretability Techniques

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。