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 1,164 篇，第 5 / 24 页
- ICLR 2025LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations
- ICLR 2025LocoVR: Multiuser Indoor Locomotion Dataset in Virtual Reality
- ICLR 2025Logic-Logit: A Logic-Based Approach to Choice Modeling
- ICLR 2025Look Before You Leap: Universal Emergent Mechanism for Retrieval in Language Models
- ICLR 2025Loss Landscape of Shallow ReLU-like Neural Networks: Stationary Points, Saddle Escape, and Network Embedding
- ICLR 2025LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision
- ICLR 2025MANTRA: The Manifold Triangulations Assemblage
- ICLR 2025Measuring And Improving Persuasiveness Of Large Language Models
- ICLR 2025Mechanism and Emergence of Stacked Attention Heads in Multi-Layer Transformers
- ICLR 2025Mechanistic Permutability: Match Features Across Layers
- ICLR 2025MIND over Body: Adaptive Thinking using Dynamic Computation
- ICLR 2025Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity
- ICLR 2025Model-based RL as a Minimalist Approach to Horizon-Free and Second-Order Bounds
- ICLR 2025Modeling dynamic social vision highlights gaps between deep learning and humans
- ICLR 2025Monet: Mixture of Monosemantic Experts for Transformers
- ICLR 2025Monitoring Latent World States in Language Models with Propositional Probes
- ICLR 2025Narrowing Information Bottleneck Theory for Multimodal Image-Text Representations Interpretability
- ICLR 2025Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence
- ICLR 2025NetFormer: An interpretable model for recovering dynamical connectivity in neuronal population dynamics
- ICLR 2025Neural Causal Graph for Interpretable and Intervenable Classification
- ICLR 2025NeurFlow: Interpreting Neural Networks through Neuron Groups and Functional Interactions
- ICLR 2025Neuron-based Multifractal Analysis of Neuron Interaction Dynamics in Large Models
- ICLR 2025NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals
- ICLR 2025No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs
- ICLR 2025Not All Language Model Features Are One-Dimensionally Linear
- ICLR 2025On Linear Representations and Pretraining Data Frequency in Language Models
- ICLR 2025On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality
- ICLR 2025On the expressiveness and spectral bias of KANs
- ICLR 2025On the Role of Attention Heads in Large Language Model Safety
- ICLR 2025Open-Set Graph Anomaly Detection via Normal Structure Regularisation
- ICLR 2025Optimality and Adaptivity of Deep Neural Features for Instrumental Variable Regression
- ICLR 2025Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior
- ICLR 2025PhyloLM: Inferring the Phylogeny of Large Language Models and Predicting their Performances in Benchmarks
- ICLR 2025PolyPythias: Stability and Outliers across Fifty Language Model Pre-Training Runs
- ICLR 2025Precise Localization of Memories: A Fine-grained Neuron-level Knowledge Editing Technique for LLMs
- ICLR 2025Probabilistic Learning to Defer: Handling Missing Expert Annotations and Controlling Workload Distribution
- ICLR 2025Prompting Fairness: Integrating Causality to Debias Large Language Models
- ICLR 2025ProtoSnap: Prototype Alignment For Cuneiform Signs
- ICLR 2025Provably Accurate Shapley Value Estimation via Leverage Score Sampling
- ICLR 2025QPM: Discrete Optimization for Globally Interpretable Image Classification
- ICLR 2025Reassessing How to Compare and Improve the Calibration of Machine Learning Models
- ICLR 2025Reconsidering Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs
- ICLR 2025Recovering Manifold Structure Using Ollivier Ricci Curvature
- ICLR 2025ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability
- ICLR 2025Representational Similarity via Interpretable Visual Concepts
- ICLR 2025Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs
- ICLR 2025Residual Stream Analysis with Multi-Layer SAEs
- ICLR 2025Rethinking Evaluation of Sparse Autoencoders through the Representation of Polysemous Words
- ICLR 2025Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond
- ICLR 2025Rethinking Self-Distillation: Label Averaging and Enhanced Soft Label Refinement with Partial Labels
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。