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 21 / 26 页

1001. NeurIPS 2024Discovering plasticity rules that organize and maintain neural circuits
1002. NeurIPS 2024Disentangling and mitigating the impact of task similarity for continual learning
1003. NeurIPS 2024Dissecting Query-Key Interaction in Vision Transformers
1004. NeurIPS 2024Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation
1005. NeurIPS 2024Divergences between Language Models and Human Brains
1006. NeurIPS 2024Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers
1007. NeurIPS 2024Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning
1008. NeurIPS 2024DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation
1009. NeurIPS 2024Dynamic Service Fee Pricing under Strategic Behavior: Actions as Instruments and Phase Transition
1010. NeurIPS 2024EEVR: A Virtual Reality-Based Emotion Dataset Featuring Paired Physiological Signals and Textual Descriptions
1011. NeurIPS 2024Efficient Sketches for Training Data Attribution and Studying the Loss Landscape
1012. NeurIPS 2024Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space
1013. NeurIPS 2024emg2pose: A Large and Diverse Benchmark for Surface Electromyographic Hand Pose Estimation
1014. NeurIPS 2024Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection
1015. NeurIPS 2024Evidence of Learned Look-Ahead in a Chess-Playing Neural Network
1016. NeurIPS 2024Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport
1017. NeurIPS 2024Explanations that reveal all through the definition of encoding
1018. NeurIPS 2024Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks
1019. NeurIPS 2024Fairness in Social Influence Maximization via Optimal Transport
1020. NeurIPS 2024FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models
1021. NeurIPS 2024FFAM: Feature Factorization Activation Map for Explanation of 3D Detectors
1022. NeurIPS 2024Finding Transformer Circuits With Edge Pruning
1023. NeurIPS 2024Graph Neural Networks and Arithmetic Circuits
1024. NeurIPS 2024Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models
1025. NeurIPS 2024Great Minds Think Alike: The Universal Convergence Trend of Input Salience
1026. NeurIPS 2024GREATS: Online Selection of High-Quality Data for LLM Training in Every Iteration
1027. NeurIPS 2024Grokking of Implicit Reasoning in Transformers: A Mechanistic Journey to the Edge of Generalization
1028. NeurIPS 2024HyperLogic: Enhancing Diversity and Accuracy in Rule Learning with HyperNets
1029. NeurIPS 2024Hypothesis Testing the Circuit Hypothesis in LLMs
1030. NeurIPS 2024Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
1031. NeurIPS 2024Improving Decision Sparsity
1032. NeurIPS 2024Improving Sparse Decomposition of Language Model Activations with Gated Sparse Autoencoders
1033. NeurIPS 2024In-Context Learning State Vector with Inner and Momentum Optimization
1034. NeurIPS 2024Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models
1035. NeurIPS 2024Initialization is Critical to Whether Transformers Fit Composite Functions by Reasoning or Memorizing
1036. NeurIPS 2024Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models
1037. NeurIPS 2024Integrating GNN and Neural ODEs for Estimating Non-Reciprocal Two-Body Interactions in Mixed-Species Collective Motion
1038. NeurIPS 2024InterpBench: Semi-Synthetic Transformers for Evaluating Mechanistic Interpretability Techniques
1039. NeurIPS 2024Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents
1040. NeurIPS 2024Interpretable Concept-Based Memory Reasoning
1041. NeurIPS 2024Interpretable Generalized Additive Models for Datasets with Missing Values
1042. NeurIPS 2024Interpretable Image Classification with Adaptive Prototype-based Vision Transformers
1043. NeurIPS 2024Interpretable Mesomorphic Networks for Tabular Data
1044. NeurIPS 2024Interpreting and Analysing CLIP's Zero-Shot Image Classification via Mutual Knowledge
1045. NeurIPS 2024Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)
1046. NeurIPS 2024Interpreting Learned Feedback Patterns in Large Language Models
1047. NeurIPS 2024Intervention and Conditioning in Causal Bayesian Networks
1048. NeurIPS 2024InversionView: A General-Purpose Method for Reading Information from Neural Activations
1049. NeurIPS 2024Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization
1050. NeurIPS 2024Iteration Head: A Mechanistic Study of Chain-of-Thought

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。