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 8 / 24 页

351. ICML 2025Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging
352. ICML 2025Byzantine-Resilient Federated Alternating Gradient Descent and Minimization for Partly-Decoupled Low Rank Matrix Learning
353. ICML 2025Calibrated Language Models and How to Find Them with Label Smoothing
354. ICML 2025CAN: Leveraging Clients As Navigators for Generative Replay in Federated Continual Learning
355. ICML 2025Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMs
356. ICML 2025Cape: Context-Aware Prompt Perturbation Mechanism with Differential Privacy
357. ICML 2025CASE-Bench: Context-Aware SafEty Benchmark for Large Language Models
358. ICML 2025Categorical Distributional Reinforcement Learning with Kullback-Leibler Divergence: Convergence and Asymptotics
359. ICML 2025Categorical Schrödinger Bridge Matching
360. ICML 2025Certification for Differentially Private Prediction in Gradient-Based Training
361. ICML 2025Certified Unlearning for Neural Networks
362. ICML 2025Circumventing Backdoor Space via Weight Symmetry
363. ICML 2025Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off
364. ICML 2025Clone-Robust AI Alignment
365. ICML 2025CoDy: Counterfactual Explainers for Dynamic Graphs
366. ICML 2025Compelling ReLU Networks to Exhibit Exponentially Many Linear Regions at Initialization and During Training
367. ICML 2025Compute Optimal Inference and Provable Amortisation Gap in Sparse Autoencoders
368. ICML 2025Computing Voting Rules with Improvement Feedback
369. ICML 2025Concept-Based Unsupervised Domain Adaptation
370. ICML 2025Confidential Guardian: Cryptographically Prohibiting the Abuse of Model Abstention
371. ICML 2025Constrain Alignment with Sparse Autoencoders
372. ICML 2025Constrained Belief Updates Explain Geometric Structures in Transformer Representations
373. ICML 2025Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion
374. ICML 2025Correlated Errors in Large Language Models
375. ICML 2025Counterfactual Voting Adjustment for Quality Assessment and Fairer Voting in Online Platforms with Helpfulness Evaluation
376. ICML 2025Counting in Small Transformers: The Delicate Interplay between Attention and Feed-Forward Layers
377. ICML 2025Data-driven Design of Randomized Control Trials with Guaranteed Treatment Effects
378. ICML 2025De-AntiFake: Rethinking the Protective Perturbations Against Voice Cloning Attacks
379. ICML 2025Deep Linear Network Training Dynamics from Random Initialization: Data, Width, Depth, and Hyperparameter Transfer
380. ICML 2025Detecting Strategic Deception with Linear Probes
381. ICML 2025Differential Privacy Under Class Imbalance: Methods and Empirical Insights
382. ICML 2025Differentially Private Analysis for Binary Response Models: Optimality, Estimation, and Inference
383. ICML 2025Differentially Private Boxplots
384. ICML 2025Differentially Private Federated $k$-Means Clustering with Server-Side Data
385. ICML 2025Differentially Private Space-Efficient Algorithms for Counting Distinct Elements in the Turnstile Model
386. ICML 2025Diffusion models for Gaussian distributions: Exact solutions and Wasserstein errors
387. ICML 2025Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain
388. ICML 2025Direct Density Ratio Optimization: A Statistically Consistent Approach to Aligning Large Language Models
389. ICML 2025DIS-CO: Discovering Copyrighted Content in VLMs Training Data
390. ICML 2025Discovering Spoofing Attempts on Language Model Watermarks
391. ICML 2025Disparate Conditional Prediction in Multiclass Classifiers
392. ICML 2025Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies
393. ICML 2025Distributed Differentially Private Data Analytics via Secure Sketching
394. ICML 2025Divide and Conquer: Learning Label Distribution with Subtasks
395. ICML 2025DRAG: Data Reconstruction Attack using Guided Diffusion
396. ICML 2025E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time
397. ICML 2025EasyInv: Toward Fast and Better DDIM Inversion
398. ICML 2025Editable Concept Bottleneck Models
399. ICML 2025Efficient and Privacy-Preserving Soft Prompt Transfer for LLMs
400. ICML 2025Efficient Source-free Unlearning via Energy-Guided Data Synthesis and Discrimination-Aware Multitask Optimization

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。