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 3,411 篇，第 39 / 69 页

1901. ICML 2025Position: The Right to AI
1902. ICML 2025Position: We Can’t Understand AI Using our Existing Vocabulary
1903. ICML 2025Positional Attention: Expressivity and Learnability of Algorithmic Computation
1904. ICML 2025Prediction via Shapley Value Regression
1905. ICML 2025Prediction-Aware Learning in Multi-Agent Systems
1906. ICML 2025Preference learning made easy: Everything should be understood through win rate
1907. ICML 2025Privacy-Preserving Federated Convex Optimization: Balancing Partial-Participation and Efficiency via Noise Cancellation
1908. ICML 2025Proactive Agents for Multi-Turn Text-to-Image Generation Under Uncertainty
1909. ICML 2025Provable Benefits of Unsupervised Pre-training and Transfer Learning via Single-Index Models
1910. ICML 2025Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing
1911. ICML 2025Quantifying Memory Utilization with Effective State-Size
1912. ICML 2025Quantifying Prediction Consistency Under Fine-tuning Multiplicity in Tabular LLMs
1913. ICML 2025QuEST: Stable Training of LLMs with 1-Bit Weights and Activations
1914. ICML 2025Ranked from Within: Ranking Large Multimodal Models Without Labels
1915. ICML 2025Relative Error Fair Clustering in the Weak-Strong Oracle Model
1916. ICML 2025Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing
1917. ICML 2025Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions
1918. ICML 2025Representative Ranking for Deliberation in the Public Sphere
1919. ICML 2025Rethinking Aleatoric and Epistemic Uncertainty
1920. ICML 2025Rethinking the Temperature for Federated Heterogeneous Distillation
1921. ICML 2025Revisiting the Predictability of Performative, Social Events
1922. ICML 2025Risk and cross validation in ridge regression with correlated samples
1923. ICML 2025SAE-V: Interpreting Multimodal Models for Enhanced Alignment
1924. ICML 2025SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability
1925. ICML 2025SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders
1926. ICML 2025SAFE: Finding Sparse and Flat Minima to Improve Pruning
1927. ICML 2025Safety Alignment Can Be Not Superficial With Explicit Safety Signals
1928. ICML 2025SafetyAnalyst: Interpretable, Transparent, and Steerable Safety Moderation for AI Behavior
1929. ICML 2025Scalable Private Partition Selection via Adaptive Weighting
1930. ICML 2025SCISSOR: Mitigating Semantic Bias through Cluster-Aware Siamese Networks for Robust Classification
1931. ICML 2025Selective Preference Aggregation
1932. ICML 2025Self-Consuming Generative Models with Adversarially Curated Data
1933. ICML 2025SEMU: Singular Value Decomposition for Efficient Machine Unlearning
1934. ICML 2025Skip the Equations: Learning Behavior of Personalized Dynamical Systems Directly From Data
1935. ICML 2025SNS-Bench: Defining, Building, and Assessing Capabilities of Large Language Models in Social Networking Services
1936. ICML 2025Sparse Autoencoders for Hypothesis Generation
1937. ICML 2025Speak Easy: Eliciting Harmful Jailbreaks from LLMs with Simple Interactions
1938. ICML 2025SPEX: Scaling Feature Interaction Explanations for LLMs
1939. ICML 2025Splitting & Integrating: Out-of-Distribution Detection via Adversarial Gradient Attribution
1940. ICML 2025SPRI: Aligning Large Language Models with Context-Situated Principles
1941. ICML 2025Stability and Generalization Analysis of Decentralized SGD: Sharper Bounds Beyond Lipschitzness and Smoothness
1942. ICML 2025STAMP Your Content: Proving Dataset Membership via Watermarked Rephrasings
1943. ICML 2025Statistical Collusion by Collectives on Learning Platforms
1944. ICML 2025Stay-Positive: A Case for Ignoring Real Image Features in Fake Image Detection
1945. ICML 2025STD-FD: Spatio-Temporal Distribution Fitting Deviation for AIGC Forgery Identification
1946. ICML 2025Stealix: Model Stealing via Prompt Evolution
1947. ICML 2025Strategy Coopetition Explains the Emergence and Transience of In-Context Learning
1948. ICML 2025Subgroups Matter for Robust Bias Mitigation
1949. ICML 2025Suitability Filter: A Statistical Framework for Classifier Evaluation in Real-World Deployment Settings
1950. ICML 2025Sum-of-Parts: Self-Attributing Neural Networks with End-to-End Learning of Feature Groups

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。