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 522 篇，第 6 / 11 页

251. NeurIPS 2025Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy
252. NeurIPS 2025Knowledge Distillation Detection for Open-weights Models
253. NeurIPS 2025Language Models Are Capable of Metacognitive Monitoring and Control of Their Internal Activations
254. NeurIPS 2025LARGO: Latent Adversarial Reflection through Gradient Optimization for Jailbreaking LLMs
255. NeurIPS 2025LawShift: Benchmarking Legal Judgment Prediction Under Statute Shifts
256. NeurIPS 2025Layer-Wise Modality Decomposition for Interpretable Multimodal Sensor Fusion
257. NeurIPS 2025LeapFactual: Reliable Visual Counterfactual Explanation Using Conditional Flow Matching
258. NeurIPS 2025Learning from Delayed Feedback in Games via Extra Prediction
259. NeurIPS 2025Learning Gradient Boosted Decision Trees with Algorithmic Recourse
260. NeurIPS 2025Learning in Compact Spaces with Approximately Normalized Transformer
261. NeurIPS 2025Learning to Add, Multiply, and Execute Algorithmic Instructions Exactly with Neural Networks
262. NeurIPS 2025Lie Detector: Unified Backdoor Detection via Cross-Examination Framework
263. NeurIPS 2025Lifelong Safety Alignment for Language Models
264. NeurIPS 2025LLM Generated Persona is a Promise with a Catch
265. NeurIPS 2025LLM Interpretability with Identifiable Temporal-Instantaneous Representation
266. NeurIPS 2025LLM Layers Immediately Correct Each Other
267. NeurIPS 2025LLM Strategic Reasoning: Agentic Study through Behavioral Game Theory
268. NeurIPS 2025LLM Unlearning via Neural Activation Redirection
269. NeurIPS 2025LLMs Encode Harmfulness and Refusal Separately
270. NeurIPS 2025Localizing Knowledge in Diffusion Transformers
271. NeurIPS 2025Locally Optimal Private Sampling: Beyond the Global Minimax
272. NeurIPS 2025LOMIA: Label-Only Membership Inference Attacks against Pre-trained Large Vision-Language Models
273. NeurIPS 2025Look-Ahead Reasoning on Learning Platforms
274. NeurIPS 2025LoRO: Real-Time on-Device Secure Inference for LLMs via TEE-Based Low Rank Obfuscation
275. NeurIPS 2025Low Rank Gradients and Where to Find Them
276. NeurIPS 2025Machine Unlearning in 3D Generation: A Perspective-Coherent Acceleration Framework
277. NeurIPS 2025Machine Unlearning via Task Simplex Arithmetic
278. NeurIPS 2025Manipulating Feature Visualizations with Gradient Slingshots
279. NeurIPS 2025Mask Image Watermarking
280. NeurIPS 2025Matchings Under Biased and Correlated Evaluations
281. NeurIPS 2025Measuring and Guiding Monosemanticity
282. NeurIPS 2025Mechanistic Interpretability of RNNs emulating Hidden Markov Models
283. NeurIPS 2025Median Selection with Noisy and Structural Information
284. NeurIPS 2025MEMOIR: Lifelong Model Editing with Minimal Overwrite and Informed Retention for LLMs
285. NeurIPS 2025Memory Injection Attacks on LLM Agents via Query-Only Interaction
286. NeurIPS 2025MetaMind: Modeling Human Social Thoughts with Metacognitive Multi-Agent Systems
287. NeurIPS 2025Metritocracy: Representative Metrics for Lite Benchmarks
288. NeurIPS 2025MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework
289. NeurIPS 2025MIBP-Cert: Certified Training against Data Perturbations with Mixed-Integer Bilinear Programs
290. NeurIPS 2025Minimax-Optimal Univariate Function Selection in Sparse Additive Models: Rates, Adaptation, and the Estimation-Selection Gap
291. NeurIPS 2025Minimizing False-Positive Attributions in Explanations of Non-Linear Models
292. NeurIPS 2025Mitigating the Privacy–Utility Trade-off in Decentralized Federated Learning via f-Differential Privacy
293. NeurIPS 2025Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging
294. NeurIPS 2025MIX: A Multi-view Time-Frequency Interactive Explanation Framework for Time Series Classification
295. NeurIPS 2025MixAT: Combining Continuous and Discrete Adversarial Training for LLMs
296. NeurIPS 2025MLEP: Multi-granularity Local Entropy Patterns for Generalized AI-generated Image Detection
297. NeurIPS 2025MLIP Arena: Advancing Fairness and Transparency in Machine Learning Interatomic Potentials via an Open, Accessible Benchmark Platform
298. NeurIPS 2025MMPB: It’s Time for Multi-Modal Personalization
299. NeurIPS 2025Modeling the Economic Impacts of AI Openness Regulation
300. NeurIPS 2025Monoculture or Multiplicity: Which Is It?

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。