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 541 篇，第 1 / 11 页

1. ICML 2026*MemPot*: Defend Against Memory Extraction Attack with Optimized Honeypots
2. ICML 2026$\texttt{PRISM}$:A 3D Probabilistic Neural Representation for Interpretable Shape Modeling
3. ICML 2026$\texttt{ShaplEIG}$: Bayesian Experimental Design for Shapley Value Estimation
4. ICML 2026A Behavioural and Representational Evaluation of Goal-Directedness in Language Model Agents
5. ICML 2026A Close Look at Negative Label Guided Out-of-distribution Detection in Pre-trained Vision-Language Models
6. ICML 2026A Decision-Theoretic View of Test-Time Training: When, How Far, and Which Directions to Adapt
7. ICML 2026A Distributional View for Visual Mechanistic Interpretability: KL-Minimal Soft-Constraint Principle
8. ICML 2026A Formal Comparison Between Chain of Thought and Latent Thought
9. ICML 2026A Game-Theoretic Framework for Measuring and Explaining Metric Compatibility in Fair Machine Learning
10. ICML 2026A Geometric Analysis of Small-sized Language Model Hallucinations
11. ICML 2026A Graphop Analysis of Graph Neural Networks on Sparse Graphs: Generalization and Universal Approximation
12. ICML 2026A Positive Case for Faithfulness: Explanations Help Predict Model Behavior
13. ICML 2026A Strictly Proper Scoring Rule and a Calibration Metric for Interval-Censored Data Analysis
14. ICML 2026A Theory of Data Acquisition and Pricing at Scale
15. ICML 2026A Unified Framework for Diffusion Model Unlearning with f-Divergence
16. ICML 2026ABC-Bench: An Agentic Bio-Capabilities Benchmark for Biosecurity
17. ICML 2026Accuracy-First Rényi Differential Privacy and Post-Processing Immunity
18. ICML 2026Acoustic Interference: A New Paradigm Weaponizing Acoustic Latent Semantic for Universal Jailbreak against Large Audio Language Models
19. ICML 2026Activation Oracles: Training and Evaluating LLMs as General-Purpose Activation Explainers
20. ICML 2026Activation with Intrinsic-Extrinsic Consensus
21. ICML 2026Active Tabular Augmentation via Policy-Guided Diffusion Inpainting
22. ICML 2026Adalina: Adaptive Linear Approximation for the Shapley Value and Beyond
23. ICML 2026Adaptive Probe-based Steering for Robust LLM Jailbreaking
24. ICML 2026Adaptively Robust Resettable Streaming
25. ICML 2026AdaRoPE: Not All Attention Heads Should Rotate and Scale Equally
26. ICML 2026AdaSCALE: Adaptive Scaling for OOD Detection
27. ICML 2026AdLift: Lifting Adversarial Perturbations to Safeguard 3D Gaussian Splatting Assets Against Instruction-Driven Editing
28. ICML 2026Adversarial Attack and Defense for Denoising Diffusion Sampling
29. ICML 2026Adversarial Vulnerability from Interference Between Features in Superposition
30. ICML 2026Agentic Confidence Calibration
31. ICML 2026Algorithmic Recourse of In-Context Learning for Tabular Data
32. ICML 2026AlgoTrace: Algorithmic Primitives and Compositional Geometry of Reasoning in Language Models
33. ICML 2026Alignment Risks from Capability-Seeking RL Training
34. ICML 2026Alignment Tampering: How Reinforcement Learning from Human Feedback Is Exploited to Optimize Misaligned Biases
35. ICML 2026AliMark: Enhancing Robustness of Sentence-Level Watermarking Against Text Paraphrasing
36. ICML 2026All Circuits Lead to Rome: Rethinking Functional Anisotropy in Circuit and Sheaf Discovery for LLMs
37. ICML 2026Ambiguous Strategic Classification
38. ICML 2026An Empirical Study on the Resilience of Partial Merging to Model Clone Attacks
39. ICML 2026An Odd Estimator for Shapley Values
40. ICML 2026Anatomy of Massive Activations and Attention Sinks
41. ICML 2026Anchored Decoding: Provably Reducing Copyright Risk for Any Language Model
42. ICML 2026Angel or Demon: Investigating the Plasticity Interventions' Impact on Backdoor Threats in Deep Reinforcement Learning
43. ICML 2026Anti-Backdoor Coreset Selection via Cumulative Entropy
44. ICML 2026Arboreal Neural Network
45. ICML 2026Are LLM Evaluators Really Narcissists? Sanity Checking Self-Preference Evaluations
46. ICML 2026Ariadne's Thread of LipSync: Unraveling Forgeries via Inconsistency between Lip Motions and Head Poses
47. ICML 2026Asymptotic Optimality of the High-Dimensional Gaussian Mechanism and Improved Low-Dimensional Mechanisms for Differential Privacy
48. ICML 2026At the Edge of Understanding: Sparse Autoencoders Trace The Limits of Transformer Generalization
49. ICML 2026Attention's forward pass and Frank-Wolfe
50. ICML 2026Auditing Sybil: Explaining Deep Lung Cancer Risk Prediction Through Generative Interventional Attributions

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。