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 20 / 26 页

951. NeurIPS 2024Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification
952. NeurIPS 2024AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases
953. NeurIPS 2024Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP
954. NeurIPS 2024Aggregating Quantitative Relative Judgments: From Social Choice to Ranking Prediction
955. NeurIPS 2024Algorithmic Capabilities of Random Transformers
956. NeurIPS 2024Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction
957. NeurIPS 2024ALPINE: Unveiling The Planning Capability of Autoregressive Learning in Language Models
958. NeurIPS 2024An Analysis of Tokenization: Transformers under Markov Data
959. NeurIPS 2024An Equivalence Between Static and Dynamic Regret Minimization
960. NeurIPS 2024Analysing the Generalisation and Reliability of Steering Vectors
961. NeurIPS 2024AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Properties
962. NeurIPS 2024Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage?
963. NeurIPS 2024Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning
964. NeurIPS 2024Auditing Local Explanations is Hard
965. NeurIPS 2024Automating Data Annotation under Strategic Human Agents: Risks and Potential Solutions
966. NeurIPS 2024B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable
967. NeurIPS 2024Bandit-Feedback Online Multiclass Classification: Variants and Tradeoffs
968. NeurIPS 2024Barely Random Algorithms and Collective Metrical Task Systems
969. NeurIPS 2024BEACON: Benchmark for Comprehensive RNA Tasks and Language Models
970. NeurIPS 2024BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices
971. NeurIPS 2024Beyond Accuracy: Ensuring Correct Predictions With Correct Rationales
972. NeurIPS 2024Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?
973. NeurIPS 2024Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects
974. NeurIPS 2024Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps
975. NeurIPS 2024BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGO
976. NeurIPS 2024Bridging OOD Detection and Generalization: A Graph-Theoretic View
977. NeurIPS 2024Capturing the denoising effect of PCA via compression ratio
978. NeurIPS 2024Causal Deciphering and Inpainting in Spatio-Temporal Dynamics via Diffusion Model
979. NeurIPS 2024Causal Dependence Plots
980. NeurIPS 2024Cherry on Top: Parameter Heterogeneity and Quantization in Large Language Models
981. NeurIPS 2024ChronoEpilogi: Scalable Time Series Selection with Multiple Solutions
982. NeurIPS 2024Coarse-to-Fine Concept Bottleneck Models
983. NeurIPS 2024Codec Avatar Studio: Paired Human Captures for Complete, Driveable, and Generalizable Avatars
984. NeurIPS 2024Compact Language Models via Pruning and Knowledge Distillation
985. NeurIPS 2024Compact Proofs of Model Performance via Mechanistic Interpretability
986. NeurIPS 2024Computational Aspects of Bayesian Persuasion under Approximate Best Response
987. NeurIPS 2024Confidence Regulation Neurons in Language Models
988. NeurIPS 2024Constrained Human-AI Cooperation: An Inclusive Embodied Social Intelligence Challenge
989. NeurIPS 2024CoSy: Evaluating Textual Explanations of Neurons
990. NeurIPS 2024Crafting Interpretable Embeddings for Language Neuroscience by Asking LLMs Questions
991. NeurIPS 2024CryoBench: Datasets and Benchmarks for Heterogeneous Cryo-EM Reconstruction
992. NeurIPS 2024Data Distribution Valuation
993. NeurIPS 2024Data-faithful Feature Attribution: Mitigating Unobservable Confounders via Instrumental Variables
994. NeurIPS 2024Decision-Making Behavior Evaluation Framework for LLMs under Uncertain Context
995. NeurIPS 2024Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP
996. NeurIPS 2024Delving into the Reversal Curse: How Far Can Large Language Models Generalize?
997. NeurIPS 2024Denoising Diffusion Path: Attribution Noise Reduction with An Auxiliary Diffusion Model
998. NeurIPS 2024DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning
999. NeurIPS 2024DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers
1000. NeurIPS 2024Diffusion PID: Interpreting Diffusion via Partial Information Decomposition

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。