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 45 / 69 页

2201. NeurIPS 2025Geometric Logit Decoupling for Energy-Based Graph Out-of-distribution Detection
2202. NeurIPS 2025Geometry of Decision Making in Language Models
2203. NeurIPS 2025GnnXemplar: Exemplars to Explanations - Natural Language Rules for Global GNN Interpretability
2204. NeurIPS 2025GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation
2205. NeurIPS 2025GraSS: Scalable Data Attribution with Gradient Sparsification and Sparse Projection
2206. NeurIPS 2025Grounding Language with Vision: A Conditional Mutual Information Calibrated Decoding Strategy for Reducing Hallucinations in LVLMs
2207. NeurIPS 2025GUARD: Constructing Realistic Two-Player Matrix and Security Games for Benchmarking Game-Theoretic Algorithms
2208. NeurIPS 2025Guiding LLM Decision-Making with Fairness Reward Models
2209. NeurIPS 2025Harnessing the Computation Redundancy in ViTs to Boost Adversarial Transferability
2210. NeurIPS 2025Head Pursuit: Probing Attention Specialization in Multimodal Transformers
2211. NeurIPS 2025HeavyWater and SimplexWater: Distortion-free LLM Watermarks for Low-Entropy Distributions
2212. NeurIPS 2025Heterogeneous Diffusion Structure Inference for Network Cascade
2213. NeurIPS 2025Hierarchical Frequency Tagging Probe (HFTP): A Unified Approach to Investigate Syntactic Structure Representations in Large Language Models and the Human Brain
2214. NeurIPS 2025High-Order Flow Matching: Unified Framework and Sharp Statistical Rates
2215. NeurIPS 2025Homogeneous Algorithms Can Reduce Competition in Personalized Pricing
2216. NeurIPS 2025HouseLayout3D: A Benchmark and Training-free Baseline for 3D Layout Estimation in the Wild
2217. NeurIPS 2025How do Transformers Learn Implicit Reasoning?
2218. NeurIPS 2025How Well Can Differential Privacy Be Audited in One Run?
2219. NeurIPS 2025Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection
2220. NeurIPS 2025ICLScan: Detecting Backdoors in Black-Box Large Language Models via Targeted In-context Illumination
2221. NeurIPS 2025Identifiability of Deep Polynomial Neural Networks
2222. NeurIPS 2025IF-Guide: Influence Function-Guided Detoxification of LLMs
2223. NeurIPS 2025ImageNet-trained CNNs are not biased towards texture: Revisiting feature reliance through controlled suppression
2224. NeurIPS 2025Imbalances in Neurosymbolic Learning: Characterization and Mitigating Strategies
2225. NeurIPS 2025Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning
2226. NeurIPS 2025Impact of Layer Norm on Memorization and Generalization in Transformers
2227. NeurIPS 2025Improved Representation Steering for Language Models
2228. NeurIPS 2025Improving Energy Natural Gradient Descent through Woodbury, Momentum, and Randomization
2229. NeurIPS 2025Improving Model Representation and Reducing KV Cache via Skip Connections with First Value Heads
2230. NeurIPS 2025Improving Perturbation-based Explanations by Understanding the Role of Uncertainty Calibration
2231. NeurIPS 2025Improving Task-Specific Multimodal Sentiment Analysis with General MLLMs via Prompting
2232. NeurIPS 2025In-context Learning of Linear Dynamical Systems with Transformers: Approximation Bounds and Depth-separation
2233. NeurIPS 2025In-Context Learning Strategies Emerge Rationally
2234. NeurIPS 2025Incentivizing Desirable Effort Profiles in Strategic Classification: The Role of Causality and Uncertainty
2235. NeurIPS 2025Incentivizing Time-Aware Fairness in Data Sharing
2236. NeurIPS 2025Individual Fairness In Strategic Classification
2237. NeurIPS 2025Individually Fair Diversity Maximization
2238. NeurIPS 2025Inference-Time Reward Hacking in Large Language Models
2239. NeurIPS 2025Inner Speech as Behavior Guides: Steerable Imitation of Diverse Behaviors for Human-AI coordination
2240. NeurIPS 2025Instance-Optimality for Private KL Distribution Estimation
2241. NeurIPS 2025Interactive and Hybrid Imitation Learning: Provably Beating Behavior Cloning
2242. NeurIPS 2025Intermediate Domain Alignment and Morphology Analogy for Patent-Product Image Retrieval
2243. NeurIPS 2025Interpretable and Parameter Efficient Graph Neural Additive Models with Random Fourier Features
2244. NeurIPS 2025Interpretable Next-token Prediction via the Generalized Induction Head
2245. NeurIPS 2025Interpreting Arithmetic Reasoning in Large Language Models using Game-Theoretic Interactions
2246. NeurIPS 2025Interpreting Emergent Features in Deep Learning-based Side-channel Analysis
2247. NeurIPS 2025Interpreting vision transformers via residual replacement model
2248. NeurIPS 2025InvisibleInk: High-Utility and Low-Cost Text Generation with Differential Privacy
2249. NeurIPS 2025Jacobian-Based Interpretation of Nonlinear Neural Encoding Model
2250. NeurIPS 2025Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy

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。