社会层面 · accountability transparency and interpretability论文趋势 2023–2026
AI 社会议题：accountability_transparency_and_interpretability
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 3,411 篇被归入该主题的论文。
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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 82 | 57 | 94 | 68 | 301 |
| 2024 | 255 | 83 | 152 | 99 | 589 |
| 2025 | 522 | 211 | 337 | 94 | 1,164 |
| 2026 | 416 | 292 | 541 | 108 | 1,357 |
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 3,411 篇，第 30 / 69 页
- CVPR 2025Where the Devil Hides: Deepfake Detectors Can No Longer Be Trusted
- ICLR 20253D-Properties: Identifying Challenges in DPO and Charting a Path Forward
- ICLR 2025A General Framework for Producing Interpretable Semantic Text Embeddings
- ICLR 2025A Single Goal is All You Need: Skills and Exploration Emerge from Contrastive RL without Rewards, Demonstrations, or Subgoals
- ICLR 2025Accelerating neural network training: An analysis of the AlgoPerf competition
- ICLR 2025Adaptive Transformer Programs: Bridging the Gap Between Performance and Interpretability in Transformers
- ICLR 2025Agree to Disagree: Demystifying Homogeneous Deep Ensembles through Distributional Equivalence
- ICLR 2025AI2TALE: An Innovative Information Theory-based Approach for Learning to Localize Phishing Attacks
- ICLR 2025An Efficient Framework for Crediting Data Contributors of Diffusion Models
- ICLR 2025Answer, Assemble, Ace: Understanding How LMs Answer Multiple Choice Questions
- ICLR 2025Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning
- ICLR 2025Arithmetic Transformers Can Length-Generalize in Both Operand Length and Count
- ICLR 2025Arithmetic Without Algorithms: Language Models Solve Math with a Bag of Heuristics
- ICLR 2025Ask, and it shall be given: On the Turing completeness of prompting
- ICLR 2025Attention as a Hypernetwork
- ICLR 2025Attention with Markov: A Curious Case of Single-layer Transformers
- ICLR 2025AttriBoT: A Bag of Tricks for Efficiently Approximating Leave-One-Out Context Attribution
- ICLR 2025Attributing Culture-Conditioned Generations to Pretraining Corpora
- ICLR 2025Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness
- ICLR 2025Beyond Surface Structure: A Causal Assessment of LLMs' Comprehension ability
- ICLR 2025Bilinear MLPs enable weight-based mechanistic interpretability
- ICLR 2025Boosting Methods for Interval-censored Data with Regression and Classification
- ICLR 2025Boosting the visual interpretability of CLIP via adversarial fine-tuning
- ICLR 2025BrainOOD: Out-of-distribution Generalizable Brain Network Analysis
- ICLR 2025Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization
- ICLR 2025Can Transformers Do Enumerative Geometry?
- ICLR 2025Capability Localization: Capabilities Can be Localized rather than Individual Knowledge
- ICLR 2025Capturing the Temporal Dependence of Training Data Influence
- ICLR 2025Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning
- ICLR 2025Comparing Targeting Strategies for Maximizing Social Welfare with Limited Resources
- ICLR 2025Competition Dynamics Shape Algorithmic Phases of In-Context Learning
- ICLR 2025Complementary Label Learning with Positive Label Guessing and Negative Label Enhancement
- ICLR 2025Concept Bottleneck Large Language Models
- ICLR 2025Controllable Context Sensitivity and the Knob Behind It
- ICLR 2025Controlling Language and Diffusion Models by Transporting Activations
- ICLR 2025Counterfactual Concept Bottleneck Models
- ICLR 2025Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models
- ICLR 2025Data Shapley in One Training Run
- ICLR 2025Data-centric Prediction Explanation via Kernelized Stein Discrepancy
- ICLR 2025Deep Networks Learn Features From Local Discontinuities in the Label Function
- ICLR 2025DICE: Data Influence Cascade in Decentralized Learning
- ICLR 2025Differentiable Rule Induction from Raw Sequence Inputs
- ICLR 2025Differential learning kinetics govern the transition from memorization to generalization during in-context learning
- ICLR 2025Differentiation and Specialization of Attention Heads via the Refined Local Learning Coefficient
- ICLR 2025Diverse Preference Learning for Capabilities and Alignment
- ICLR 2025Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models
- ICLR 2025Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Explanations?
- ICLR 2025Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting
- ICLR 2025Dynamic Assortment Selection and Pricing with Censored Preference Feedback
- ICLR 2025Efficient and Accurate Explanation Estimation with Distribution Compression
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查社会层面 · accountability transparency and interpretability在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "social-accountability-transparency-and-interpretability"}
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。