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 10 / 11 页

451. NeurIPS 2025The Non-Linear Representation Dilemma: Is Causal Abstraction Enough for Mechanistic Interpretability?
452. NeurIPS 2025The Price of Opportunity Fairness in Matroid Allocation Problems
453. NeurIPS 2025The Rashomon Set Has It All: Analyzing Trustworthiness of Trees under Multiplicity
454. NeurIPS 2025The Rise of Parameter Specialization for Knowledge Storage in Large Language Models
455. NeurIPS 2025The Structure of Relation Decoding Linear Operators in Large Language Models
456. NeurIPS 2025The Temporal Graph of Bitcoin Transactions
457. NeurIPS 2025The Unseen Threat: Residual Knowledge in Machine Unlearning under Perturbed Samples
458. NeurIPS 2025The VLLM Safety Paradox: Dual Ease in Jailbreak Attack and Defense
459. NeurIPS 2025Tight Bounds on the Distortion of Randomized and Deterministic Distributed Voting
460. NeurIPS 2025Time-uniform and Asymptotic Confidence Sequence of Quantile under Local Differential Privacy
461. NeurIPS 2025TokenSwap: A Lightweight Method to Disrupt Memorized Sequences in LLMs
462. NeurIPS 2025Too Late to Recall: Explaining the Two-Hop Problem in Multimodal Knowledge Retrieval
463. NeurIPS 2025TopER: Topological Embeddings in Graph Representation Learning
464. NeurIPS 2025Towards Effective Federated Graph Foundation Model via Mitigating Knowledge Entanglement
465. NeurIPS 2025Towards Interpretability Without Sacrifice: Faithful Dense Layer Decomposition with Mixture of Decoders
466. NeurIPS 2025Towards Interpretable and Efficient Attention: Compressing All by Contracting a Few
467. NeurIPS 2025Towards Irreversible Attack: Fooling Scene Text Recognition via Multi-Population Coevolution Search
468. NeurIPS 2025Towards Understanding Safety Alignment: A Mechanistic Perspective from Safety Neurons
469. NeurIPS 2025ToxicTextCLIP: Text-Based Poisoning and Backdoor Attacks on CLIP Pre-training
470. NeurIPS 2025TraffiDent: A Dataset for Understanding the Interplay Between Traffic Dynamics and Incidents
471. NeurIPS 2025Train to Defend: First Defense Against Cryptanalytic Neural Network Parameter Extraction Attacks
472. NeurIPS 2025Training-free Detection of AI-generated images via Cropping Robustness
473. NeurIPS 2025Transferable Black-Box One-Shot Forging of Watermarks via Image Preference Models
474. NeurIPS 2025Transferring Linear Features Across Language Models With Model Stitching
475. NeurIPS 2025Transformer Key-Value Memories Are Nearly as Interpretable as Sparse Autoencoders
476. NeurIPS 2025Transstratal Adversarial Attack: Compromising Multi-Layered Defenses in Text-to-Image Models
477. NeurIPS 2025TRAP: Targeted Redirecting of Agentic Preferences
478. NeurIPS 2025TwinMarket: A Scalable Behavioral and Social Simulation for Financial Markets
479. NeurIPS 2025Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training
480. NeurIPS 2025UMoE: Unifying Attention and FFN with Shared Experts
481. NeurIPS 2025Uncovering a Universal Abstract Algorithm for Modular Addition in Neural Networks
482. NeurIPS 2025Understanding and Improving Adversarial Robustness of Neural Probabilistic Circuits
483. NeurIPS 2025Understanding and Improving Fast Adversarial Training against $l_0$ Bounded Perturbations
484. NeurIPS 2025Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness
485. NeurIPS 2025Understanding Fairness and Prediction Error through Subspace Decomposition and Influence Analysis
486. NeurIPS 2025Unextractable Protocol Models: Collaborative Training and Inference without Weight Materialization
487. NeurIPS 2025Unifying Attention Heads and Task Vectors via Hidden State Geometry in In-Context Learning
488. NeurIPS 2025Unifying Proportional Fairness in Centroid and Non-Centroid Clustering
489. NeurIPS 2025Unifying Re-Identification, Attribute Inference, and Data Reconstruction Risks in Differential Privacy
490. NeurIPS 2025UniteFormer: Unifying Node and Edge Modalities in Transformers for Vehicle Routing Problems
491. NeurIPS 2025Unlearned but Not Forgotten: Data Extraction after Exact Unlearning in LLM
492. NeurIPS 2025Unlearning-Aware Minimization
493. NeurIPS 2025Unmasking Puppeteers: Leveraging Biometric Leakage to Expose Impersonation in AI-Based Videoconferencing
494. NeurIPS 2025Unveiling Concept Attribution in Diffusion Models
495. NeurIPS 2025Unveiling Environmental Sensitivity of Individual Gains in Influence Maximization
496. NeurIPS 2025Unveiling the Uncertainty in Embodied and Operational Carbon of Large AI Models through a Probabilistic Carbon Accounting Model
497. NeurIPS 2025Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs
498. NeurIPS 2025V-CECE: Visual Counterfactual Explanations via Conceptual Edits
499. NeurIPS 2025Vector Database Watermarking
500. NeurIPS 2025Versatile Transferable Unlearnable Example Generator

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。