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 3 / 69 页

101. CVPR 2026VDE Training-Free Accelerating Rectified Flow Model via Velocity Decomposition and
102. CVPR 2026Velox Learning Representations of 4D Geometry and Appearance
103. CVPR 2026Video Generation with Stable Transparency via Shiftable RGB-A Distribution Learner
104. CVPR 2026What Do Visual Tokens Really Encode Uncovering Sparsity and Redundancy
105. CVPR 2026What Is the Optimal Ranking Score Between Precision and Recall
106. CVPR 2026When Numbers Speak Aligning Textual Numerals and Visual Instances in
107. CVPR 2026When to Think and When to Look Uncertainty-Guided Lookback
108. CVPR 2026Where MLLMs Attend and What They Rely On Explaining Autoregressive
109. ICLR 2026$\mathbf{Li_2}$: A Framework on Dynamics of Feature Emergence and Delayed Generalization
110. ICLR 2026A Comprehensive Information-Decomposition Analysis of Large Vision-Language Models
111. ICLR 2026A Probabilistic Hard Concept Bottleneck for Steerable Generative Models
112. ICLR 2026AbsTopK: Rethinking Sparse Autoencoders For Bidirectional Features
113. ICLR 2026ACE: Attribution-Controlled Knowledge Editing for Multi-hop Factual Recall
114. ICLR 2026Adaptive Social Learning via Mode Policy Optimization for Language Agents
115. ICLR 2026Addressing divergent representations from causal interventions on neural networks
116. ICLR 2026An Information-Theoretic Parameter-Free Bayesian Framework for Probing Labeled Dependency Trees from Attention Score
117. ICLR 2026ASGuard: Activation-Scaling Guard to Mitigate Targeted Jailbreaking Attack
118. ICLR 2026Asymptotic analysis of shallow and deep forgetting in replay with neural collapse
119. ICLR 2026Attribution-Guided Decoding
120. ICLR 2026Automated Interpretability Metrics Do Not Distinguish Trained and Random Transformers
121. ICLR 2026Bandits with Single-Peaked Preferences and Limited Resources
122. ICLR 2026Bayesian Influence Functions for Hessian-Free Data Attribution
123. ICLR 2026Bayesian Neural Networks for Functional ANOVA Model
124. ICLR 2026Behavior Learning (BL)
125. ICLR 2026Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective
126. ICLR 2026Best-of-N through the Smoothing Lens: KL Divergence and Regret Analysis
127. ICLR 2026Beyond Linear Probes: Dynamic Safety Monitoring for Language Models
128. ICLR 2026Beyond RLHF and NLHF: Population-Proportional Alignment under an Axiomatic Framework
129. ICLR 2026Beyond Uniformity: Sample and Frequency Meta Weighting for Post-Training Quantization of Diffusion Models
130. ICLR 2026Bi-Criteria Metric Distortion
131. ICLR 2026BiasFreeBench: a Benchmark for Mitigating Bias in Large Language Model Responses
132. ICLR 2026Bilinear relational structure fixes reversal curse and enables consistent model editing
133. ICLR 2026Block Recurrent Dynamics in Vision Transformers
134. ICLR 2026Boosting for Predictive Sufficiency
135. ICLR 2026Bridging Explainability and Embeddings: BEE Aware of Spuriousness
136. ICLR 2026Bridging ML and algorithms: comparison of hyperbolic embeddings
137. ICLR 2026Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models
138. ICLR 2026Can SAEs reveal and mitigate racial biases of LLMs in healthcare?
139. ICLR 2026Can Small Training Runs Reliably Guide Data Curation? Rethinking Proxy-Model Practice
140. ICLR 2026Causality ≠ Invariance: Function and Concept Vectors in LLMs
141. ICLR 2026Change Point Localization and Inference in Dynamic Multilayer Networks
142. ICLR 2026Characterizing and Mitigating Reasoning Drift in Large Language Models
143. ICLR 2026Characterizing Deep Research: A Benchmark and Formal Definition
144. ICLR 2026Characterizing Pattern Matching and Its Limits on Compositional Task Structures
145. ICLR 2026Circuit Insights: Towards Interpretability Beyond Activations
146. ICLR 2026Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models
147. ICLR 2026CLUE: Conflict-guided Localization for LLM Unlearning Framework
148. ICLR 2026CodeBrain: Towards Decoupled Interpretability and Multi-Scale Architecture for EEG Foundation Model
149. ICLR 2026Command-V: Training-Free Representation Finetuning Transfer
150. ICLR 2026Completed Hyperparameter Transfer across Modules, Width, Depth, Batch and Duration

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。