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 416 篇，第 2 / 9 页

51. NeurIPS 2026Closed-Loop Alignment: Socially Coupled In-Context Learning and Relational Posterior Collapse
52. NeurIPS 2026Co-Evolving Interpolants and Flows via Path-Flow Alignment
53. NeurIPS 2026Cognitive bias benchmarks should incorporate insights from ecological rationality
54. NeurIPS 2026Cognitive Firewalls: A Synthetic Account of Cross-Lingual Reasoning Collapse
55. NeurIPS 2026Community-Centered AI is Feasible and Beneficial for Impacted Communities
56. NeurIPS 2026Compact Representations of Impact-Based Fair-Ranking Policies
57. NeurIPS 2026Comparing Transformers and Hybrid Models at the Token Level
58. NeurIPS 2026Compressing Collections of Trees with Decision Equivalence
59. NeurIPS 2026Computationally Efficient Replicable Learning of Parities and Applications
60. NeurIPS 2026Computing Thiele Rules on Interval Elections and their Generalizations
61. NeurIPS 2026Conceal, Reconstruct, Jailbreak: Exploiting the Reconstruction--Concealment Tradeoff in MLLMs
62. NeurIPS 2026Conclusions from Circuit Extraction Depend on the Level of Description: A Controlled Comparison
63. NeurIPS 2026Conditional Counterfactual Mean Embeddings: Doubly Robust Estimation and Learning Rates
64. NeurIPS 2026Conditional independence and graphical models for rankings
65. NeurIPS 2026Confidence Estimation via Decoupled Smoothing for Dynamic LLM Routing and Aggregation
66. NeurIPS 2026Conformal Agent Error Attribution
67. NeurIPS 2026Consistency-Verified Backdoor Defense for Federated Graph Learning via Cross-Layer Drift
68. NeurIPS 2026Consistent Geometric Deep Learning via Hilbert Bundles and Cellular Sheaves
69. NeurIPS 2026Consumer Search and Social Learning in Agentic Markets
70. NeurIPS 2026Cost Efficient Fairness Audit Under Partial Feedback
71. NeurIPS 2026CoT-Guard: Small Models for Strong Monitoring
72. NeurIPS 2026CoTs as Probabilistic Programs: A Programmatic View of Thinking Step-by-Step in Language Models
73. NeurIPS 2026Cross-Model Transfer Attacks against Large Vision-Language Models via Model Diversity Enrichment and Stochastic Parameter Sampling
74. NeurIPS 2026DACE: Diversity-Driven Adversarial Co-Evolution for Robust LLM Safety Alignment
75. NeurIPS 2026DashAttention: Differentiable and Adaptive Sparse Hierarchical Attention
76. NeurIPS 2026Data-Free Metrics Are Not Invariant Under Functionality-Preserving Reparametrisations
77. NeurIPS 2026Decentralized AI Governance Must Decouple Policy Processing from Capability Enforcement
78. NeurIPS 2026Decomposing Conformal Uncertainty: Calibration- and Instance-Driven Feature Attribution
79. NeurIPS 2026Decomposing SGD Dynamics in Neural Networks: Teacher-Induced Spikes and Variance Inflation
80. NeurIPS 2026Deep Minds and Shallow Probes
81. NeurIPS 2026DeepVoting: Learning and Improving Voting Rules with Fine-Tuning
82. NeurIPS 2026Designing Kernel Surrogate Models for Multimodal Attribution
83. NeurIPS 2026Detecting Hidden ML Training With Zero-Overhead Telemetry
84. NeurIPS 2026DIAL: A Bounded-Monotone Adapter with Closed-Form Residual $L_\infty$ Bounds for Scalar-Controlled Refusal Modulation
85. NeurIPS 2026Dialectics of Alignment: Harnessing Unsafe Knowledge for Dynamic Safety Routing
86. NeurIPS 2026Differentiable Knapsack and Top-k Operators via Dynamic Programming
87. NeurIPS 2026DiM$^3$: Bridging Multilingual and Multimodal Models via Direction- and Magnitude-Aware Merging
88. NeurIPS 2026Displacement Geometry Captures Platonic Shared Reality Across Models and Modalities
89. NeurIPS 2026Distance-Dependent Connectivity Shapes Continual Learning by Synaptic-Resource-Delimited Separation of Neural Dynamics
90. NeurIPS 2026Distributionally Robust Algorithmic Recourse for Tree Ensembles
91. NeurIPS 2026Do LLMs Feel Social Pressure? Locating and Steering Social Desirability Bias in LLMs
92. NeurIPS 2026Do Reasoning LLMs Refuse What They Infer in Long Contexts?
93. NeurIPS 2026Do Thinking Tokens Help with Safety?
94. NeurIPS 2026DP-EGGROLL: Centered Fitness-Vector Privatization for Backprop-Free Differentially Private Optimization
95. NeurIPS 2026Dual-Contrastive Sparse Autoencoders Reveal Features of Musical Interpretation
96. NeurIPS 2026Dynamics of Collective Diversity in Human–AI Co-Creation for Creative Tasks
97. NeurIPS 2026DySurface: Consistent 4D Surface Reconstruction via Bridging Explicit Gaussians and Implicit Functions
98. NeurIPS 2026EDITORS Know Your Style! Editing LoRA Subspaces for Stylistic Attribution and Imitation
99. NeurIPS 2026Effectiveness of Curriculum Learning Depends on Reward Sparsity and Competing Optima
100. NeurIPS 2026Efficient Label Distribution Inference Attack and Defense on Classifier Weights in Federated Learning

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。