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 15 / 69 页

701. ICML 2026Low-Rank and Sparsity Are All You Need: Exploring Robust Hierarchical Latent Subspaces for Transferable Adversarial Attack
702. ICML 2026MAD: Manifold Attracted Diffusion
703. ICML 2026MADA-Attack: Transferable Multi-modal Attention Distraction Adversarial Attack against Vision Language Models
704. ICML 2026Making Models Unmergeable via Scaling-Sensitive Loss Landscape
705. ICML 2026MAnchors: Memorization-Based Acceleration of Anchors via Rule Reuse and Transformation
706. ICML 2026Mechanisms of Introspective Awareness
707. ICML 2026Mechanistic Anomaly Detection via Functional Attribution
708. ICML 2026Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units
709. ICML 2026Mechanistic Interpretability as Statistical Estimation: A Variance Analysis
710. ICML 2026MemIncept: Steering LLM Agents via Cooperative Stealthy Memory Injections
711. ICML 2026MetaOthello: A Controlled Study of Multiple World Models in Transformers
712. ICML 2026MINIM: Privacy-Aware Minimal View for Agents via Trusted Local Sanitization
713. ICML 2026Mitigating Visual Hallucinations via Semantic Curriculum Preference Optimization in MLLMs
714. ICML 2026Mixture of Concept Bottleneck Experts
715. ICML 2026MoCo-EA: Exploiting Adversarial Mode Connectivity for Efficient Evolutionary Attacks
716. ICML 2026Monitoring Monitorability
717. ICML 2026More Edits, More Stable: Understanding the Lifelong Normalization in Sequential Model Editing
718. ICML 2026Multi-agent imitation learning with function approximation: linear Markov games and beyond
719. ICML 2026Multi-scale Explainer for Graph Neural Networks
720. ICML 2026MultiBreak: A Scalable and Diverse Multi-turn Jailbreak Benchmark for Evaluating LLM Safety
721. ICML 2026Multilingual Unlearning in LLMs: Transfer, Dynamics, and Reversibility
722. ICML 2026Near-Optimal Private Linear Regression via Iterative Hessian Mixing
723. ICML 2026Neural Concept Verifier: Scaling Prover-Verifier Games via Concept Encodings
724. ICML 2026Neural Vector Lyapunov–Razumikhin Certificates for Delayed Interconnected Systems
725. ICML 2026Next-Gen CAPTCHAs: Leveraging the Cognitive Gap for Scalable and Diverse GUI-Agent Defense
726. ICML 2026Next-Token Prediction and Regret Minimization
727. ICML 2026Noise as a Natural Regularizer in Markov Decision Processes: Connecting Environmental Stochasticity and Policy Simplicity
728. ICML 2026OC-space: a Unifying Perspective on Verification of Tree Ensembles
729. ICML 2026Old Habits Die Hard: How Conversational History Geometrically Traps LLMs
730. ICML 2026OmniSapiens: A Foundation Model for Social Behavior Processing via Heterogeneity-Aware Relative Policy Optimization
731. ICML 2026OmniVL-Guard: Towards Unified Vision-Language Forgery Detection and Grounding via Balanced RL
732. ICML 2026On the Accuracy of Newton Step and Influence Function Data Attributions
733. ICML 2026On the Epistemic Uncertainty of Overparametrized Neural Networks
734. ICML 2026On the Relationship Between Activation Outliers and Feature Death in Sparse Autoencoders
735. ICML 2026One Bias After Another: Mechanistic Reward Shaping and Persistent Biases in Language Reward Models
736. ICML 2026One Probe Won’t Catch Them All: Towards Targeted Deception Detection
737. ICML 2026Online Packet Scheduling with Deadlines and Learning
738. ICML 2026Online Social Welfare Function-based Resource Allocation
739. ICML 2026Optimal and Scalable MAPF via Multi-Marginal Optimal Transport and Schrödinger Bridges
740. ICML 2026Optimal Fair Aggregation of Crowdsourced Noisy Labels using Demographic Parity Constraints
741. ICML 2026Optimal Regularization for Performative Learning
742. ICML 2026Optimal structure learning and conditional independence testing
743. ICML 2026Optimal Transport Group Counterfactual Explanations
744. ICML 2026OrchJail: Jailbreaking Tool-Calling Text-to-Image Agents by Orchestration-Guided Fuzzing
745. ICML 2026Orthogonal Concept Erasure for Diffusion Models
746. ICML 2026OSCS: Online Selection with Provable FAR Control for LLM Safety
747. ICML 2026OSNIP: Balancing the Privacy-Utility-Efficiency Trilemma in LLM Inference via Obfuscated Semantic Null Space
748. ICML 2026Outcome Rewards Do Not Guarantee Verifiable or Causally Important Reasoning
749. ICML 2026Partial Identification under High-Dimensional Potential Outcomes and Confounders via Optimal Transport
750. ICML 2026Patterning: The Dual of Interpretability

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。