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 6 / 7 页

251. ICML 2025QuEST: Stable Training of LLMs with 1-Bit Weights and Activations
252. ICML 2025Ranked from Within: Ranking Large Multimodal Models Without Labels
253. ICML 2025Relative Error Fair Clustering in the Weak-Strong Oracle Model
254. ICML 2025Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing
255. ICML 2025Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions
256. ICML 2025Representative Ranking for Deliberation in the Public Sphere
257. ICML 2025Rethinking Aleatoric and Epistemic Uncertainty
258. ICML 2025Rethinking the Temperature for Federated Heterogeneous Distillation
259. ICML 2025Revisiting the Predictability of Performative, Social Events
260. ICML 2025Risk and cross validation in ridge regression with correlated samples
261. ICML 2025SAE-V: Interpreting Multimodal Models for Enhanced Alignment
262. ICML 2025SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability
263. ICML 2025SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders
264. ICML 2025SAFE: Finding Sparse and Flat Minima to Improve Pruning
265. ICML 2025Safety Alignment Can Be Not Superficial With Explicit Safety Signals
266. ICML 2025SafetyAnalyst: Interpretable, Transparent, and Steerable Safety Moderation for AI Behavior
267. ICML 2025Scalable Private Partition Selection via Adaptive Weighting
268. ICML 2025SCISSOR: Mitigating Semantic Bias through Cluster-Aware Siamese Networks for Robust Classification
269. ICML 2025Selective Preference Aggregation
270. ICML 2025Self-Consuming Generative Models with Adversarially Curated Data
271. ICML 2025SEMU: Singular Value Decomposition for Efficient Machine Unlearning
272. ICML 2025Skip the Equations: Learning Behavior of Personalized Dynamical Systems Directly From Data
273. ICML 2025SNS-Bench: Defining, Building, and Assessing Capabilities of Large Language Models in Social Networking Services
274. ICML 2025Sparse Autoencoders for Hypothesis Generation
275. ICML 2025Speak Easy: Eliciting Harmful Jailbreaks from LLMs with Simple Interactions
276. ICML 2025SPEX: Scaling Feature Interaction Explanations for LLMs
277. ICML 2025Splitting & Integrating: Out-of-Distribution Detection via Adversarial Gradient Attribution
278. ICML 2025SPRI: Aligning Large Language Models with Context-Situated Principles
279. ICML 2025Stability and Generalization Analysis of Decentralized SGD: Sharper Bounds Beyond Lipschitzness and Smoothness
280. ICML 2025STAMP Your Content: Proving Dataset Membership via Watermarked Rephrasings
281. ICML 2025Statistical Collusion by Collectives on Learning Platforms
282. ICML 2025Stay-Positive: A Case for Ignoring Real Image Features in Fake Image Detection
283. ICML 2025STD-FD: Spatio-Temporal Distribution Fitting Deviation for AIGC Forgery Identification
284. ICML 2025Stealix: Model Stealing via Prompt Evolution
285. ICML 2025Strategy Coopetition Explains the Emergence and Transience of In-Context Learning
286. ICML 2025Subgroups Matter for Robust Bias Mitigation
287. ICML 2025Suitability Filter: A Statistical Framework for Classifier Evaluation in Real-World Deployment Settings
288. ICML 2025Sum-of-Parts: Self-Attributing Neural Networks with End-to-End Learning of Feature Groups
289. ICML 2025Symmetric Reinforcement Learning Loss for Robust Learning on Diverse Tasks and Model Scales
290. ICML 2025Tensor Product Neural Networks for Functional ANOVA Model
291. ICML 2025Textual Unlearning Gives a False Sense of Unlearning
292. ICML 2025Textural or Textual: How Vision-Language Models Read Text in Images
293. ICML 2025The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph
294. ICML 2025The Disparate Benefits of Deep Ensembles
295. ICML 2025The Elicitation Game: Evaluating Capability Elicitation Techniques
296. ICML 2025The Geometry of Refusal in Large Language Models: Concept Cones and Representational Independence
297. ICML 2025The Illusion of Role Separation: Hidden Shortcuts in LLM Role Learning (and How to Fix Them)
298. ICML 2025The Jailbreak Tax: How Useful are Your Jailbreak Outputs?
299. ICML 2025The Lock-in Hypothesis: Stagnation by Algorithm
300. ICML 2025The Power of Random Features and the Limits of Distribution-Free Gradient Descent

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。