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 3 / 26 页

101. NeurIPS 2026Efficient Retrosynthesis Prediction with Integral Flow Matching and Latent Inversion
102. NeurIPS 2026Embeddings for Preferences, Not Semantics
103. NeurIPS 2026Emergence, Retention and Mitigation of Ill-conditioning due to Basis Lifting in KANs
104. NeurIPS 2026Enhancing LLMs with Cognitive-Affective Personality Inference for Simulating Human Social-Psychological Behavior
105. NeurIPS 2026Ensemble Distributionally Robust Bayesian Optimisation
106. NeurIPS 2026Epistemic Social Learning: Latent Behavioral Structure under Endogenous Multi-Agent Interaction
107. NeurIPS 2026ERIS: Enhancing Privacy and Scalability in Federated Learning via Federated Shard Aggregation
108. NeurIPS 2026Escape the Context Manifold: Preventing DiT In-Context Editing via Conditional Flow Hijacking
109. NeurIPS 2026Evaluating Compositional Generalization in Transformers: The Role of Composition Equivalence and Module Coverage
110. NeurIPS 2026Evaluation Awareness in Language Models Has Limited Effect on Behaviour
111. NeurIPS 2026Even Sailors Need Calm Seas: Taming the Geometry of VLMs for Fast Adversarial Fine-Tuning
112. NeurIPS 2026Explaining and Breaking the Safety-Helpfulness Ceiling via Preference Dimensional Expansion
113. NeurIPS 2026Explanation of Dynamic Physical Field Predictions using WassersteinGrad: Application to Autoregressive Weather Forecasting
114. NeurIPS 2026Exposing Private Corpus Leakage in Multimodal RAG
115. NeurIPS 2026Extracting Search Trees from LLM Reasoning Traces Reveals Myopic Planning
116. NeurIPS 2026Eyes on VLM: Benchmarking Gaze Following and Social Gaze Prediction in Vision Language Models
117. NeurIPS 2026𝑓-Differential Privacy Filters: Validity and Approximate Solutions
118. NeurIPS 2026FairTune Market: A Fair and Trustworthy Marketplace for Fine-Tuned LLMs via Posted-Price & Proper-Scoring Mechanisms
119. NeurIPS 2026Fast and Consistent Structure Learning in Graphical Models via Approximate Cross-Validation
120. NeurIPS 2026Fast and Stable Triangular Inversion for Delta-Rule Linear Transformers
121. NeurIPS 2026Fast Approximate $\ell_p$ Chamfer Distance via Lopsided Embeddings and Structured JL
122. NeurIPS 2026Federate the Router: Learning Language Model Routers with Sparse and Decentralized Evaluations
123. NeurIPS 2026Federated Concept-Based Models: Interpretable models with distributed supervision
124. NeurIPS 2026FILOsofer: A TEE-Shielded Model Partitioning Framework based on Fisher Information-Guided LoRA Obfuscation
125. NeurIPS 2026Finding Interpretable Prompt-Specific Circuits in Language Models
126. NeurIPS 2026Fine-tuning Does Not Reach All: Uneven Safety and Knowledge Dynamics in Language Models
127. NeurIPS 2026Fisher information and the geometry of memorization in neural networks
128. NeurIPS 2026FiTS: Interpretable Spiking Neurons via Frequency Selectivity and Temporal Shaping
129. NeurIPS 2026FlowLeak: Coverage-Guided Extraction of Dynamic Workflows in LLM-Based Multi-Agent Systems
130. NeurIPS 2026Fourier Contour Learning for Efficient and Traceable Cardiac MRI Quantification
131. NeurIPS 2026From Density Matrices to Phase Transitions in Deep Learning: Spectral Early Warnings and Interpretability
132. NeurIPS 2026From Post-Hoc to Ante-Hoc: Consistently Explainable Semi-Supervised Time Series Classification
133. NeurIPS 2026From Static Geometry to Dynamical Singularity: Detecting Memorization in Diffusion Models via Score Evolution
134. NeurIPS 2026From Tokens to Tactics: Adversarial Text Optimization in an Axis-Aligned Rhetorical Strategy Space for Harmful Content Detection
135. NeurIPS 2026Gated DeltaNet-2: Decoupling Erase and Write in Linear Attention
136. NeurIPS 2026GEM: Interpretable Language Models via Geometric Embedding Alignment
137. NeurIPS 2026Generalization in Neural Networks Through the Lens of Magnitude Potential
138. NeurIPS 2026Generalized Adaptive Boosting and the Geometry of Mistakes
139. NeurIPS 2026GeoBiaset: A Counterfactual Benchmark for Demographic Bias in World-Level Geolocalization
140. NeurIPS 2026Geometry-Adaptive Explainer for Faithful Dictionary-Based Interpretability under Distribution Shift
141. NeurIPS 2026Geometry-Aware Optimal Transport: Fast Intrinsic Dimension and Wasserstein Distance Estimation
142. NeurIPS 2026Georeferenced Cross-View 3D Reconstruction from Ground and Satellite Images
143. NeurIPS 2026GOLIATH: Gradient Inversion of Tabular Diffusion Models
144. NeurIPS 2026Gradient Descent on Two ReLU Neurons: Global Landscape and Bifurcation Dynamics
145. NeurIPS 2026Gradient Routing Localizes and Removes Unintended Behaviors in RL
146. NeurIPS 2026Gradient-based Graph Structure Optimisation for Research Networks
147. NeurIPS 2026Gradient-Mine Units: Scorched-Earth Strategy for Model Protection against Unauthorized Fine-Tuning
148. NeurIPS 2026GradShield: Alignment Preserving Finetuning
149. NeurIPS 2026GramStatTexNet: Efficient, Interpretable, and Neuro-Inspired Texture Analysis-by-Synthesis
150. NeurIPS 2026Grounded or Fabricated? Unsupervised Detection of LLM Hallucinations via Contextualized Influence on Response Embeddings

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。