社会层面 · accountability transparency and interpretability论文趋势 2023–2026
AI 社会议题：accountability_transparency_and_interpretability
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 3,411 篇被归入该主题的论文。
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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 82 | 57 | 94 | 68 | 301 |
| 2024 | 255 | 83 | 152 | 99 | 589 |
| 2025 | 522 | 211 | 337 | 94 | 1,164 |
| 2026 | 416 | 292 | 541 | 108 | 1,357 |
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 50 / 69 页
- NeurIPS 2025The Price of Opportunity Fairness in Matroid Allocation Problems
- NeurIPS 2025The Rashomon Set Has It All: Analyzing Trustworthiness of Trees under Multiplicity
- NeurIPS 2025The Rise of Parameter Specialization for Knowledge Storage in Large Language Models
- NeurIPS 2025The Structure of Relation Decoding Linear Operators in Large Language Models
- NeurIPS 2025The Temporal Graph of Bitcoin Transactions
- NeurIPS 2025The Unseen Threat: Residual Knowledge in Machine Unlearning under Perturbed Samples
- NeurIPS 2025The VLLM Safety Paradox: Dual Ease in Jailbreak Attack and Defense
- NeurIPS 2025Tight Bounds on the Distortion of Randomized and Deterministic Distributed Voting
- NeurIPS 2025Time-uniform and Asymptotic Confidence Sequence of Quantile under Local Differential Privacy
- NeurIPS 2025TokenSwap: A Lightweight Method to Disrupt Memorized Sequences in LLMs
- NeurIPS 2025Too Late to Recall: Explaining the Two-Hop Problem in Multimodal Knowledge Retrieval
- NeurIPS 2025TopER: Topological Embeddings in Graph Representation Learning
- NeurIPS 2025Towards Effective Federated Graph Foundation Model via Mitigating Knowledge Entanglement
- NeurIPS 2025Towards Interpretability Without Sacrifice: Faithful Dense Layer Decomposition with Mixture of Decoders
- NeurIPS 2025Towards Interpretable and Efficient Attention: Compressing All by Contracting a Few
- NeurIPS 2025Towards Irreversible Attack: Fooling Scene Text Recognition via Multi-Population Coevolution Search
- NeurIPS 2025Towards Understanding Safety Alignment: A Mechanistic Perspective from Safety Neurons
- NeurIPS 2025ToxicTextCLIP: Text-Based Poisoning and Backdoor Attacks on CLIP Pre-training
- NeurIPS 2025TraffiDent: A Dataset for Understanding the Interplay Between Traffic Dynamics and Incidents
- NeurIPS 2025Train to Defend: First Defense Against Cryptanalytic Neural Network Parameter Extraction Attacks
- NeurIPS 2025Training-free Detection of AI-generated images via Cropping Robustness
- NeurIPS 2025Transferable Black-Box One-Shot Forging of Watermarks via Image Preference Models
- NeurIPS 2025Transferring Linear Features Across Language Models With Model Stitching
- NeurIPS 2025Transformer Key-Value Memories Are Nearly as Interpretable as Sparse Autoencoders
- NeurIPS 2025Transstratal Adversarial Attack: Compromising Multi-Layered Defenses in Text-to-Image Models
- NeurIPS 2025TRAP: Targeted Redirecting of Agentic Preferences
- NeurIPS 2025TwinMarket: A Scalable Behavioral and Social Simulation for Financial Markets
- NeurIPS 2025Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training
- NeurIPS 2025UMoE: Unifying Attention and FFN with Shared Experts
- NeurIPS 2025Uncovering a Universal Abstract Algorithm for Modular Addition in Neural Networks
- NeurIPS 2025Understanding and Improving Adversarial Robustness of Neural Probabilistic Circuits
- NeurIPS 2025Understanding and Improving Fast Adversarial Training against $l_0$ Bounded Perturbations
- NeurIPS 2025Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness
- NeurIPS 2025Understanding Fairness and Prediction Error through Subspace Decomposition and Influence Analysis
- NeurIPS 2025Unextractable Protocol Models: Collaborative Training and Inference without Weight Materialization
- NeurIPS 2025Unifying Attention Heads and Task Vectors via Hidden State Geometry in In-Context Learning
- NeurIPS 2025Unifying Proportional Fairness in Centroid and Non-Centroid Clustering
- NeurIPS 2025Unifying Re-Identification, Attribute Inference, and Data Reconstruction Risks in Differential Privacy
- NeurIPS 2025UniteFormer: Unifying Node and Edge Modalities in Transformers for Vehicle Routing Problems
- NeurIPS 2025Unlearned but Not Forgotten: Data Extraction after Exact Unlearning in LLM
- NeurIPS 2025Unlearning-Aware Minimization
- NeurIPS 2025Unmasking Puppeteers: Leveraging Biometric Leakage to Expose Impersonation in AI-Based Videoconferencing
- NeurIPS 2025Unveiling Concept Attribution in Diffusion Models
- NeurIPS 2025Unveiling Environmental Sensitivity of Individual Gains in Influence Maximization
- NeurIPS 2025Unveiling the Uncertainty in Embodied and Operational Carbon of Large AI Models through a Probabilistic Carbon Accounting Model
- NeurIPS 2025Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs
- NeurIPS 2025V-CECE: Visual Counterfactual Explanations via Conceptual Edits
- NeurIPS 2025Vector Database Watermarking
- NeurIPS 2025Versatile Transferable Unlearnable Example Generator
- NeurIPS 2025Virus Infection Attack on LLMs: Your Poisoning Can Spread "VIA" Synthetic Data
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可以直接复制这句话问 AI
用 paperlist 查社会层面 · accountability transparency and interpretability在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "social-accountability-transparency-and-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。