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 589 篇，第 10 / 12 页

451. NeurIPS 2024Learning Place Cell Representations and Context-Dependent Remapping
452. NeurIPS 2024Learning Social Welfare Functions
453. NeurIPS 2024Learning the Latent Causal Structure for Modeling Label Noise
454. NeurIPS 2024Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks
455. NeurIPS 2024Learning to Understand: Identifying Interactions via the Möbius Transform
456. NeurIPS 2024Learning-Augmented Approximation Algorithms for Maximum Cut and Related Problems
457. NeurIPS 2024LG-CAV: Train Any Concept Activation Vector with Language Guidance
458. NeurIPS 2024Linear Transformers are Versatile In-Context Learners
459. NeurIPS 2024Linking In-context Learning in Transformers to Human Episodic Memory
460. NeurIPS 2024Listenable Maps for Zero-Shot Audio Classifiers
461. NeurIPS 2024LLM Circuit Analyses Are Consistent Across Training and Scale
462. NeurIPS 2024Local to Global: Learning Dynamics and Effect of Initialization for Transformers
463. NeurIPS 2024Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie Stimuli
464. NeurIPS 2024MambaLRP: Explaining Selective State Space Sequence Models
465. NeurIPS 2024Measuring Per-Unit Interpretability at Scale Without Humans
466. NeurIPS 2024Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models
467. NeurIPS 2024MeLLoC: Lossless Compression with High-order Mechanism Learning
468. NeurIPS 2024Microstructures and Accuracy of Graph Recall by Large Language Models
469. NeurIPS 2024Mixed Dynamics In Linear Networks: Unifying the Lazy and Active Regimes
470. NeurIPS 2024Model Based Inference of Synaptic Plasticity Rules
471. NeurIPS 2024Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks
472. NeurIPS 2024Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope Theory
473. NeurIPS 2024Most Influential Subset Selection: Challenges, Promises, and Beyond
474. NeurIPS 2024Motif-oriented influence maximization for viral marketing in large-scale social networks
475. NeurIPS 2024MTGS: A Novel Framework for Multi-Person Temporal Gaze Following and Social Gaze Prediction
476. NeurIPS 2024Multi-Winner Reconfiguration
477. NeurIPS 2024Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization
478. NeurIPS 2024Navigating the Effect of Parametrization for Dimensionality Reduction
479. NeurIPS 2024Neural Concept Binder
480. NeurIPS 2024No Free Delivery Service: Epistemic limits of passive data collection in complex social systems
481. NeurIPS 2024Non-Euclidean Mixture Model for Social Network Embedding
482. NeurIPS 2024On Sparse Canonical Correlation Analysis
483. NeurIPS 2024On the cohesion and separability of average-link for hierarchical agglomerative clustering
484. NeurIPS 2024On the Complexity of Learning Sparse Functions with Statistical and Gradient Queries
485. NeurIPS 2024On the Minimax Regret for Contextual Linear Bandits and Multi-Armed Bandits with Expert Advice
486. NeurIPS 2024On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Games
487. NeurIPS 2024On the Stability and Generalization of Meta-Learning
488. NeurIPS 2024One Sample Fits All: Approximating All Probabilistic Values Simultaneously and Efficiently
489. NeurIPS 2024Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?
490. NeurIPS 2024Optimal ablation for interpretability
491. NeurIPS 2024Optimal Multiclass U-Calibration Error and Beyond
492. NeurIPS 2024Parameter Symmetry and Noise Equilibrium of Stochastic Gradient Descent
493. NeurIPS 2024PEACE: A Dataset of Pharmaceutical Care for Cancer Pain Analgesia Evaluation and Medication Decision
494. NeurIPS 2024Pedestrian-Centric 3D Pre-collision Pose and Shape Estimation from Dashcam Perspective
495. NeurIPS 2024Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs
496. NeurIPS 2024Pre-trained Large Language Models Use Fourier Features to Compute Addition
497. NeurIPS 2024Prejudice and Volatility: A Statistical Framework for Measuring Social Discrimination in Large Language Models
498. NeurIPS 2024Probabilistic size-and-shape functional mixed models
499. NeurIPS 2024ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons
500. NeurIPS 2024Proportional Fairness in Clustering: A Social Choice Perspective

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。