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 643 篇，第 6 / 13 页
- ICLR 2026Temporal superposition and feature geometry of RNNs under memory demands
- ICLR 2026Testing Most Influential Sets
- ICLR 2026The CoT Encyclopedia: Analyzing, Predicting, and Controlling how a Reasoning Model will Think
- ICLR 2026The Deleuzian Representation Hypothesis
- ICLR 2026The Geometry and Topology of Circuits: the Manifolds of Modular Addition
- ICLR 2026The Lattice Geometry of Neural Network Quantization: A Short Equivalence Proof of GPTQ and Babai's Algorithm
- ICLR 2026The Lattice Representation Hypothesis and Concept Algebra in LLMs
- ICLR 2026The Price of Amortized inference in Sparse Autoencoders
- ICLR 2026The Shape of Adversarial Influence: Characterizing LLM Latent Spaces with Persistent Homology
- ICLR 2026The Tutor-Pupil Augmentation: Enhancing Learning and Interpretability via Input Corrections
- ICLR 2026The Value of Information in Human-AI Decision-making
- ICLR 2026TileLang: Bridge Programmability and Performance in Modern Neural Kernels
- ICLR 2026TimeSeg: An Information-Theoretic Segment-Wise Explainer for Time-Series Predictions
- ICLR 2026TIMESLIVER : SYMBOLIC-LINEAR DECOMPOSITION FOR EXPLAINABLE TIME SERIES CLASSIFICATION
- ICLR 2026To Infinity and Beyond: Tool-Use Unlocks Length Generalization in State Space Models
- ICLR 2026Topology and geometry of the learning space of ReLU networks: connectivity and singularities
- ICLR 2026Toward Practical Equilibrium Propagation: Brain-inspired Recurrent Neural Network with Feedback Regulation and Residual Connections
- ICLR 2026Towards a Theoretical Understanding of In-context Learning: Stability and Non-I.I.D Generalisation
- ICLR 2026Towards Interpretable Visual Decoding with Attention to Brain Representations
- ICLR 2026Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement
- ICLR 2026Towards Understanding the Nature of Attention with Low-Rank Sparse Decomposition
- ICLR 2026Tracing and Reversing Edits in LLMs
- ICLR 2026Tracing the Traces: Latent Temporal Signals for Efficient and Accurate Reasoning
- ICLR 2026Training-free Counterfactual Explanation for Temporal Graph Model Inference
- ICLR 2026Transformers as Measure-Theoretic Associative Memory: A Statistical Perspective and Minimax Optimality
- ICLR 2026Transformers Don’t Need LayerNorm at Inference Time: Scaling LayerNorm Removal to GPT-2 XL and Implications for Mechanistic Interpretability
- ICLR 2026Tucker-FNO: Tensor Tucker-Fourier Neural Operator and its Universal Approximation Theory
- ICLR 2026Uncovering Conceptual Blindspots in Generative Image Models Using Sparse Autoencoders
- ICLR 2026Understanding and Relaxing the Limitations of Transformers for Linear Algebra
- ICLR 2026Understanding the Emergence of Seemingly Useless Features in Next-Token Predictors
- ICLR 2026Unifying Formal Explanations: A Complexity-Theoretic Perspective
- ICLR 2026VeriTrail: Closed-Domain Hallucination Detection with Traceability
- ICLR 2026Visual symbolic mechanisms: Emergent symbol processing in Vision Language Models
- ICLR 2026Watch the Weights: Unsupervised monitoring and control of fine-tuned LLMs
- ICLR 2026Welfarist Formulations for Diverse Similarity Search
- ICLR 2026What Do Large Language Models Know About Opinions?
- ICLR 2026When Bias Helps Learning: Bridging Initial Prejudice and Trainability
- ICLR 2026When Shift Happens - Confounding Is to Blame
- ICLR 2026When Thinking Backfires: Mechanistic Insights into Reason-induced Misalignment
- ICLR 2026Why Do Unlearnable Examples Work: A Novel Perspective of Mutual Information
- ICLR 2026xRFM: Accurate, scalable, and interpretable feature learning models for tabular data
- ICLR 2026ZeroTuning: Unlocking the Initial Token's Power to Enhance Large Language Models Without Training
- 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
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。