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 1,275 篇，第 14 / 26 页

651. NeurIPS 2025Incentivizing Desirable Effort Profiles in Strategic Classification: The Role of Causality and Uncertainty
652. NeurIPS 2025Incentivizing Time-Aware Fairness in Data Sharing
653. NeurIPS 2025Individual Fairness In Strategic Classification
654. NeurIPS 2025Individually Fair Diversity Maximization
655. NeurIPS 2025Inference-Time Reward Hacking in Large Language Models
656. NeurIPS 2025Inner Speech as Behavior Guides: Steerable Imitation of Diverse Behaviors for Human-AI coordination
657. NeurIPS 2025Instance-Optimality for Private KL Distribution Estimation
658. NeurIPS 2025Interactive and Hybrid Imitation Learning: Provably Beating Behavior Cloning
659. NeurIPS 2025Intermediate Domain Alignment and Morphology Analogy for Patent-Product Image Retrieval
660. NeurIPS 2025Interpretable and Parameter Efficient Graph Neural Additive Models with Random Fourier Features
661. NeurIPS 2025Interpretable Next-token Prediction via the Generalized Induction Head
662. NeurIPS 2025Interpreting Arithmetic Reasoning in Large Language Models using Game-Theoretic Interactions
663. NeurIPS 2025Interpreting Emergent Features in Deep Learning-based Side-channel Analysis
664. NeurIPS 2025Interpreting vision transformers via residual replacement model
665. NeurIPS 2025InvisibleInk: High-Utility and Low-Cost Text Generation with Differential Privacy
666. NeurIPS 2025Jacobian-Based Interpretation of Nonlinear Neural Encoding Model
667. NeurIPS 2025Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy
668. NeurIPS 2025Knowledge Distillation Detection for Open-weights Models
669. NeurIPS 2025Language Models Are Capable of Metacognitive Monitoring and Control of Their Internal Activations
670. NeurIPS 2025LARGO: Latent Adversarial Reflection through Gradient Optimization for Jailbreaking LLMs
671. NeurIPS 2025LawShift: Benchmarking Legal Judgment Prediction Under Statute Shifts
672. NeurIPS 2025Layer-Wise Modality Decomposition for Interpretable Multimodal Sensor Fusion
673. NeurIPS 2025LeapFactual: Reliable Visual Counterfactual Explanation Using Conditional Flow Matching
674. NeurIPS 2025Learning from Delayed Feedback in Games via Extra Prediction
675. NeurIPS 2025Learning Gradient Boosted Decision Trees with Algorithmic Recourse
676. NeurIPS 2025Learning in Compact Spaces with Approximately Normalized Transformer
677. NeurIPS 2025Learning to Add, Multiply, and Execute Algorithmic Instructions Exactly with Neural Networks
678. NeurIPS 2025Lie Detector: Unified Backdoor Detection via Cross-Examination Framework
679. NeurIPS 2025Lifelong Safety Alignment for Language Models
680. NeurIPS 2025LLM Generated Persona is a Promise with a Catch
681. NeurIPS 2025LLM Interpretability with Identifiable Temporal-Instantaneous Representation
682. NeurIPS 2025LLM Layers Immediately Correct Each Other
683. NeurIPS 2025LLM Strategic Reasoning: Agentic Study through Behavioral Game Theory
684. NeurIPS 2025LLM Unlearning via Neural Activation Redirection
685. NeurIPS 2025LLMs Encode Harmfulness and Refusal Separately
686. NeurIPS 2025Localizing Knowledge in Diffusion Transformers
687. NeurIPS 2025Locally Optimal Private Sampling: Beyond the Global Minimax
688. NeurIPS 2025LOMIA: Label-Only Membership Inference Attacks against Pre-trained Large Vision-Language Models
689. NeurIPS 2025Look-Ahead Reasoning on Learning Platforms
690. NeurIPS 2025LoRO: Real-Time on-Device Secure Inference for LLMs via TEE-Based Low Rank Obfuscation
691. NeurIPS 2025Low Rank Gradients and Where to Find Them
692. NeurIPS 2025Machine Unlearning in 3D Generation: A Perspective-Coherent Acceleration Framework
693. NeurIPS 2025Machine Unlearning via Task Simplex Arithmetic
694. NeurIPS 2025Manipulating Feature Visualizations with Gradient Slingshots
695. NeurIPS 2025Mask Image Watermarking
696. NeurIPS 2025Matchings Under Biased and Correlated Evaluations
697. NeurIPS 2025Measuring and Guiding Monosemanticity
698. NeurIPS 2025Mechanistic Interpretability of RNNs emulating Hidden Markov Models
699. NeurIPS 2025Median Selection with Noisy and Structural Information
700. NeurIPS 2025MEMOIR: Lifelong Model Editing with Minimal Overwrite and Informed Retention for LLMs

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。