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 337 篇，第 4 / 7 页

151. ICML 2025Information Bottleneck-guided MLPs for Robust Spatial-temporal Forecasting
152. ICML 2025Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors
153. ICML 2025Interpreting CLIP with Hierarchical Sparse Autoencoders
154. ICML 2025Jacobian Sparse Autoencoders: Sparsify Computations, Not Just Activations
155. ICML 2025Janus: Dual-Server Multi-Round Secure Aggregation with Verifiability for Federated Learning
156. ICML 2025Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning
157. ICML 2025Kandinsky Conformal Prediction: Beyond Class- and Covariate-Conditional Coverage
158. ICML 2025Kona: An Efficient Privacy-Preservation Framework for KNN Classification by Communication Optimization
159. ICML 2025LapSum - One Method to Differentiate Them All: Ranking, Sorting and Top-k Selection
160. ICML 2025Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes
161. ICML 2025Learning Classifiers That Induce Markets
162. ICML 2025Learning Distribution-wise Control in Representation Space for Language Models
163. ICML 2025Learning Latent Graph Structures and their Uncertainty
164. ICML 2025Learning Multi-Level Features with Matryoshka Sparse Autoencoders
165. ICML 2025Learning Soft Sparse Shapes for Efficient Time-Series Classification
166. ICML 2025Learning to Route LLMs with Confidence Tokens
167. ICML 2025LEMoN: Label Error Detection using Multimodal Neighbors
168. ICML 2025Leveraging Model Guidance to Extract Training Data from Personalized Diffusion Models
169. ICML 2025Leveraging Predictive Equivalence in Decision Trees
170. ICML 2025Leveraging Randomness in Model and Data Partitioning for Privacy Amplification
171. ICML 2025Lightweight Protocols for Distributed Private Quantile Estimation
172. ICML 2025LIMEFLDL: A Local Interpretable Model-Agnostic Explanations Approach for Label Distribution Learning
173. ICML 2025Linear Bandits with Partially Observable Features
174. ICML 2025Looking Beyond the Top-1: Transformers Determine Top Tokens in Order
175. ICML 2025Loss Functions and Operators Generated by f-Divergences
176. ICML 2025Low-Rank Adapting Models for Sparse Autoencoders
177. ICML 2025Machines and Mathematical Mutations: Using GNNs to Characterize Quiver Mutation Classes
178. ICML 2025Maintaining Proportional Committees with Dynamic Candidate Sets
179. ICML 2025Massive Values in Self-Attention Modules are the Key to Contextual Knowledge Understanding
180. ICML 2025Measuring Diversity: Axioms and Challenges
181. ICML 2025Measuring In-Context Computation Complexity via Hidden State Prediction
182. ICML 2025Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization
183. ICML 2025MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents
184. ICML 2025MemFreezing: A Novel Adversarial Attack on Temporal Graph Neural Networks under Limited Future Knowledge
185. ICML 2025MIB: A Mechanistic Interpretability Benchmark
186. ICML 2025Mind the Gap: A Practical Attack on GGUF Quantization
187. ICML 2025Minimalist Concept Erasure in Generative Models
188. ICML 2025Mitigating Local Cohesion and Global Sparseness in Graph Contrastive Learning with Fuzzy Boundaries
189. ICML 2025MixBridge: Heterogeneous Image-to-Image Backdoor Attack through Mixture of Schrödinger Bridges
190. ICML 2025Mixture of Experts Made Intrinsically Interpretable
191. ICML 2025MP-Nav: Enhancing Data Poisoning Attacks against Multimodal Learning
192. ICML 2025Multiaccuracy and Multicalibration via Proxy Groups
193. ICML 2025Navigating the Social Welfare Frontier: Portfolios for Multi-objective Reinforcement Learning
194. ICML 2025Near-Optimal Decision Trees in a SPLIT Second
195. ICML 2025Neural Collapse Beyond the Unconstrained Features Model: Landscape, Dynamics, and Generalization in the Mean-Field Regime
196. ICML 2025Noisy SIGNSGD Is More Differentially Private Than You (Might) Think
197. ICML 2025Non-Asymptotic and Non-Lipschitzian Bounds on Optimal Values in Stochastic Optimization Under Heavy Tails
198. ICML 2025Not All Wrong is Bad: Using Adversarial Examples for Unlearning
199. ICML 2025Omni-Angle Assault: An Invisible and Powerful Physical Adversarial Attack on Face Recognition
200. ICML 2025On Explaining Equivariant Graph Networks via Improved Relevance Propagation

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。