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 12 / 26 页

551. NeurIPS 2025Does Object Binding Naturally Emerge in Large Pretrained Vision Transformers?
552. NeurIPS 2025Does Representation Guarantee Welfare?
553. NeurIPS 2025Don’t Give Up on Democratizing AI for the Wrong Reasons
554. NeurIPS 2025Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the Role of Model Complexity
555. NeurIPS 2025DPA: A one-stop metric to measure bias amplification in classification datasets
556. NeurIPS 2025DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents
557. NeurIPS 2025DUAL: Learning Diverse Kernels for Aggregated Two-sample and Independence Testing
558. NeurIPS 2025DualOptim: Enhancing Efficacy and Stability in Machine Unlearning with Dual Optimizers
559. NeurIPS 2025E2E-VGuard: Adversarial Prevention for Production LLM-based End-To-End Speech Synthesis
560. NeurIPS 2025EAP-GP: Mitigating Saturation Effect in Gradient-based Automated Circuit Identification
561. NeurIPS 2025EAReranker: Efficient Embedding Adequacy Assessment for Retrieval Augmented Generation
562. NeurIPS 2025Efficient Algorithms for Robust and Partial Semi-Discrete Optimal Transport
563. NeurIPS 2025Efficient Fairness-Performance Pareto Front Computation
564. NeurIPS 2025Efficient Utility-Preserving Machine Unlearning with Implicit Gradient Surgery
565. NeurIPS 2025ElliCE: Efficient and Provably Robust Algorithmic Recourse via the Rashomon Sets
566. NeurIPS 2025Emergence and Evolution of Interpretable Concepts in Diffusion Models
567. NeurIPS 2025Emergent Risk Awareness in Rational Agents under Resource Constraints
568. NeurIPS 2025Empowering Decision Trees via Shape Function Branching
569. NeurIPS 2025Enhancing Interpretability in Deep Reinforcement Learning through Semantic Clustering
570. NeurIPS 2025Epistemic Uncertainty for Generated Image Detection
571. NeurIPS 2025Erasing Conceptual Knowledge from Language Models
572. NeurIPS 2025ErrorTrace: A Black-Box Traceability Mechanism Based on Model Family Error Space
573. NeurIPS 2025Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations?
574. NeurIPS 2025Estimation of Treatment Effects in Extreme and Unobserved Data
575. NeurIPS 2025Evaluating LLMs in Open-Source Games
576. NeurIPS 2025EVOREFUSE: Evolutionary Prompt Optimization for Evaluation and Mitigation of LLM Over-Refusal to Pseudo-Malicious Instructions
577. NeurIPS 2025Explaining and Mitigating Crosslingual Tokenizer Inequities
578. NeurIPS 2025Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions
579. NeurIPS 2025Exploring Semantic-constrained Adversarial Example with Instruction Uncertainty Reduction
580. NeurIPS 2025Exploring the limits of strong membership inference attacks on large language models
581. NeurIPS 2025Exploring the Translation Mechanism of Large Language Models
582. NeurIPS 2025FACE: Faithful Automatic Concept Extraction
583. NeurIPS 2025FaCT: Faithful Concept Traces for Explaining Neural Network Decisions
584. NeurIPS 2025Fair Continuous Resource Allocation with Equality of Impact
585. NeurIPS 2025Fair Deepfake Detectors Can Generalize
586. NeurIPS 2025Fair Representation Learning with Controllable High Confidence Guarantees via Adversarial Inference
587. NeurIPS 2025Fairness under Competition
588. NeurIPS 2025Fairness-aware Bayes Optimal Functional Classification
589. NeurIPS 2025FairNet: Dynamic Fairness Correction without Performance Loss via Contrastive Conditional LoRA
590. NeurIPS 2025Fairshare Data Pricing via Data Valuation for Large Language Models
591. NeurIPS 2025Faithful Group Shapley Value
592. NeurIPS 2025FALCON: Fine-grained Activation Manipulation by Contrastive Orthogonal Unalignment for Large Language Model
593. NeurIPS 2025Fast Computation and Optimization for Opinion-Based Quantities of Friedkin-Johnsen Model
594. NeurIPS 2025FedFACT: A Provable Framework for Controllable Group-Fairness Calibration in Federated Learning
595. NeurIPS 2025FedRACE: A Hierarchical and Statistical Framework for Robust Federated Learning
596. NeurIPS 2025FedRW: Efficient Privacy-Preserving Data Reweighting for Enhancing Federated Learning of Language Models
597. NeurIPS 2025Final-Model-Only Data Attribution with a Unifying View of Gradient-Based Methods
598. NeurIPS 2025Finding and Reactivating Post-Trained LLMs' Hidden Safety Mechanisms
599. NeurIPS 2025Fix False Transparency by Noise Guided Splatting
600. NeurIPS 2025Fixing It in Post: A Comparative Study of LLM Post-Training Data Quality and Model Performance

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。