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 1,164 篇，第 4 / 24 页

151. ICLR 2025Estimation of single-cell and tissue perturbation effect in spatial transcriptomics via Spatial Causal Disentanglement
152. ICLR 2025Everything, Everywhere, All at Once: Is Mechanistic Interpretability Identifiable?
153. ICLR 2025Expected Sliced Transport Plans
154. ICLR 2025Explain Yourself, Briefly! Self-Explaining Neural Networks with Concise Sufficient Reasons
155. ICLR 2025Explaining Modern Gated-Linear RNNs via a Unified Implicit Attention Formulation
156. ICLR 2025Explanations of GNN on Evolving Graphs via Axiomatic Layer edges
157. ICLR 2025Exploring Prosocial Irrationality for LLM Agents: A Social Cognition View
158. ICLR 2025F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI
159. ICLR 2025Factor Graph-based Interpretable Neural Networks
160. ICLR 2025Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse
161. ICLR 2025Federated $Q$-Learning with Reference-Advantage Decomposition: Almost Optimal Regret and Logarithmic Communication Cost
162. ICLR 2025Following the Human Thread in Social Navigation
163. ICLR 2025From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks
164. ICLR 2025From Models to Microtheories: Distilling a Model's Topical Knowledge for Grounded Question-Answering
165. ICLR 2025From Tokens to Lattices: Emergent Lattice Structures in Language Models
166. ICLR 2025From Tokens to Words: On the Inner Lexicon of LLMs
167. ICLR 2025Generalization Bounds and Model Complexity for Kolmogorov–Arnold Networks
168. ICLR 2025Generating Likely Counterfactuals Using Sum-Product Networks
169. ICLR 2025Geometric Inductive Biases of Deep Networks: The Role of Data and Architecture
170. ICLR 2025Geometry of Lightning Self-Attention: Identifiability and Dimension
171. ICLR 2025GMValuator: Similarity-based Data Valuation for Generative Models
172. ICLR 2025Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers
173. ICLR 2025HeadMap: Locating and Enhancing Knowledge Circuits in LLMs
174. ICLR 2025HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging
175. ICLR 2025Higher-Order Graphon Neural Networks: Approximation and Cut Distance
176. ICLR 2025How DNNs break the Curse of Dimensionality: Compositionality and Symmetry Learning
177. ICLR 2025How new data permeates LLM knowledge and how to dilute it
178. ICLR 2025How to Probe: Simple Yet Effective Techniques for Improving Post-hoc Explanations
179. ICLR 2025HyperDAS: Towards Automating Mechanistic Interpretability with Hypernetworks
180. ICLR 2025Identifiability for Gaussian Processes with Holomorphic Kernels
181. ICLR 2025Improving Instruction-Following in Language Models through Activation Steering
182. ICLR 2025Influence Functions for Scalable Data Attribution in Diffusion Models
183. ICLR 2025Inner Information Analysis Algorithm for Deep Neural Network based on Community
184. ICLR 2025Input Space Mode Connectivity in Deep Neural Networks
185. ICLR 2025Inspection and Control of Self-Generated-Text Recognition Ability in Llama3-8b-Instruct
186. ICLR 2025InstaSHAP: Interpretable Additive Models Explain Shapley Values Instantly
187. ICLR 2025Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations
188. ICLR 2025Interpreting Language Reward Models via Contrastive Explanations
189. ICLR 2025Interpreting the Second-Order Effects of Neurons in CLIP
190. ICLR 2025Intrinsic User-Centric Interpretability through Global Mixture of Experts
191. ICLR 2025Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness
192. ICLR 2025KAN: Kolmogorov–Arnold Networks
193. ICLR 2025Knowledge Localization: Mission Not Accomplished? Enter Query Localization!
194. ICLR 2025Large Language Models are Interpretable Learners
195. ICLR 2025LeanQuant: Accurate and Scalable Large Language Model Quantization with Loss-error-aware Grid
196. ICLR 2025Learning Color Equivariant Representations
197. ICLR 2025Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data
198. ICLR 2025LICORICE: Label-Efficient Concept-Based Interpretable Reinforcement Learning
199. ICLR 2025Linear Representations of Political Perspective Emerge in Large Language Models
200. ICLR 2025Lines of Thought 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。