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 6 / 24 页

251. ICLR 2025Rethinking Shapley Value for Negative Interactions in Non-convex Games
252. ICLR 2025Revealing and Mitigating Over-Attention in Knowledge Editing
253. ICLR 2025Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs)
254. ICLR 2025Revisiting In-context Learning Inference Circuit in Large Language Models
255. ICLR 2025Revisiting Mode Connectivity in Neural Networks with Bezier Surface
256. ICLR 2025Revisiting Zeroth-Order Optimization: Minimum-Variance Two-Point Estimators and Directionally Aligned Perturbations
257. ICLR 2025RGB-Event ISP: The Dataset and Benchmark
258. ICLR 2025Robust LLM safeguarding via refusal feature adversarial training
259. ICLR 2025Scalable Influence and Fact Tracing for Large Language Model Pretraining
260. ICLR 2025Scaling and evaluating sparse autoencoders
261. ICLR 2025Scaling Laws for Adversarial Attacks on Language Model Activations and Tokens
262. ICLR 2025Selective Induction Heads: How Transformers Select Causal Structures in Context
263. ICLR 2025Shared-AE: Automatic Identification of Shared Subspaces in High-dimensional Neural and Behavioral Activity
264. ICLR 2025Shedding Light on Time Series Classification using Interpretability Gated Networks
265. ICLR 2025SimXRD-4M: Big Simulated X-ray Diffraction Data and Crystal Symmetry Classification Benchmark
266. ICLR 2025Sketching for Convex and Nonconvex Regularized Least Squares with Sharp Guarantees
267. ICLR 2025Sparse Autoencoders Do Not Find Canonical Units of Analysis
268. ICLR 2025Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models
269. ICLR 2025Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models
270. ICLR 2025Start Smart: Leveraging Gradients For Enhancing Mask-based XAI Methods
271. ICLR 2025Strength Estimation and Human-Like Strength Adjustment in Games
272. ICLR 2025Structuring Benchmark into Knowledge Graphs to Assist Large Language Models in Retrieving and Designing Models
273. ICLR 2025Surgical, Cheap, and Flexible: Mitigating False Refusal in Language Models via Single Vector Ablation
274. ICLR 2025Swing-by Dynamics in Concept Learning and Compositional Generalization
275. ICLR 2025Systematic Outliers in Large Language Models
276. ICLR 2025TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics
277. ICLR 2025The Computational Complexity of Circuit Discovery for Inner Interpretability
278. ICLR 2025The Geometry of Categorical and Hierarchical Concepts in Large Language Models
279. ICLR 2025The Hidden Cost of Waiting for Accurate Predictions
280. ICLR 2025The Same but Different: Structural Similarities and Differences in Multilingual Language Modeling
281. ICLR 2025The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities
282. ICLR 2025Towards a Unified and Verified Understanding of Group-Operation Networks
283. ICLR 2025Towards Bridging Generalization and Expressivity of Graph Neural Networks
284. ICLR 2025Towards Calibrated Deep Clustering Network
285. ICLR 2025Towards Interpreting Visual Information Processing in Vision-Language Models
286. ICLR 2025Towards Principled Evaluations of Sparse Autoencoders for Interpretability and Control
287. ICLR 2025Towards Synergistic Path-based Explanations for Knowledge Graph Completion: Exploration and Evaluation
288. ICLR 2025Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It
289. ICLR 2025Towards Universality: Studying Mechanistic Similarity Across Language Model Architectures
290. ICLR 2025Tracing Representation Progression: Analyzing and Enhancing Layer-Wise Similarity
291. ICLR 2025Trained Transformer Classifiers Generalize and Exhibit Benign Overfitting In-Context
292. ICLR 2025Transformer Block Coupling and its Correlation with Generalization in LLMs
293. ICLR 2025Transformer Encoder Satisfiability: Complexity and Impact on Formal Reasoning
294. ICLR 2025Transformers Learn Low Sensitivity Functions: Investigations and Implications
295. ICLR 2025Uncovering Gaps in How Humans and LLMs Interpret Subjective Language
296. ICLR 2025Understanding and Enhancing Safety Mechanisms of LLMs via Safety-Specific Neuron
297. ICLR 2025Understanding and Mitigating Hallucination in Large Vision-Language Models via Modular Attribution and Intervention
298. ICLR 2025Unearthing Skill-level Insights for Understanding Trade-offs of Foundation Models
299. ICLR 2025Unlearning-based Neural Interpretations
300. ICLR 2025Unlocking the Potential of Model Calibration 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。