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 1,124 篇，第 18 / 23 页

851. ICML 2025Towards Global-level Mechanistic Interpretability: A Perspective of Modular Circuits of Large Language Models
852. ICML 2025Towards Memorization Estimation: Fast, Formal and Free
853. ICML 2025Towards Robust Influence Functions with Flat Validation Minima
854. ICML 2025Towards Trustworthy Federated Learning with Untrusted Participants
855. ICML 2025Tracking The Best Expert Privately
856. ICML 2025Trustworthy Machine Learning through Data-Specific Indistinguishability
857. ICML 2025Two Tickets are Better than One: Fair and Accurate Hiring Under Strategic LLM Manipulations
858. ICML 2025Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos
859. ICML 2025Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning
860. ICML 2025Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models
861. ICML 2025Understanding Fixed Predictions via Confined Regions
862. ICML 2025Understanding Model Ensemble in Transferable Adversarial Attack
863. ICML 2025Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism
864. ICML 2025Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment
865. ICML 2025Validating Mechanistic Interpretations: An Axiomatic Approach
866. ICML 2025Variance as a Catalyst: Efficient and Transferable Semantic Erasure Adversarial Attack for Customized Diffusion Models
867. ICML 2025Vision-Language Models Create Cross-Modal Task Representations
868. ICML 2025Watch Out Your Album! On the Inadvertent Privacy Memorization in Multi-Modal Large Language Models
869. ICML 2025Weak-to-Strong Jailbreaking on Large Language Models
870. ICML 2025Weisfeiler and Leman Go Gambling: Why Expressive Lottery Tickets Win
871. ICML 2025What makes an Ensemble (Un) Interpretable?
872. ICML 2025When Diffusion Models Memorize: Inductive Biases in Probability Flow of Minimum-Norm Shallow Neural Nets
873. ICML 2025Which Attention Heads Matter for In-Context Learning?
874. ICML 2025WILTing Trees: Interpreting the Distance Between MPNN Embeddings
875. ICML 2025WMarkGPT: Watermarked Image Understanding via Multimodal Large Language Models
876. ICML 2025X-Hacking: The Threat of Misguided AutoML
877. ICML 2025XAttnMark: Learning Robust Audio Watermarking with Cross-Attention
878. ICML 2025You Get What You Give: Reciprocally Fair Federated Learning
879. ICML 2024A connection between Tempering and Entropic Mirror Descent
880. ICML 2024A Multimodal Automated Interpretability Agent
881. ICML 2024A Persuasive Approach to Combating Misinformation
882. ICML 2024A Unified View of FANOVA: A Comprehensive Bayesian Framework for Component Selection and Estimation
883. ICML 2024Accelerated Algorithms for Constrained Nonconvex-Nonconcave Min-Max Optimization and Comonotone Inclusion
884. ICML 2024Active Ranking and Matchmaking, with Perfect Matchings
885. ICML 2024AI Alignment with Changing and Influenceable Reward Functions
886. ICML 2024AlphaZero-Like Tree-Search can Guide Large Language Model Decoding and Training
887. ICML 2024An Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic Optimization
888. ICML 2024Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications
889. ICML 2024Attack-free Evaluating and Enhancing Adversarial Robustness on Categorical Data
890. ICML 2024Attention Meets Post-hoc Interpretability: A Mathematical Perspective
891. ICML 2024Balanced Resonate-and-Fire Neurons
892. ICML 2024Benchmarking Deletion Metrics with the Principled Explanations
893. ICML 2024Bootstrapping Fisher Market Equilibrium and First-Price Pacing Equilibrium
894. ICML 2024Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses
895. ICML 2024Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates
896. ICML 2024Can Machines Learn the True Probabilities?
897. ICML 2024Catapults in SGD: spikes in the training loss and their impact on generalization through feature learning
898. ICML 2024Clifford-Steerable Convolutional Neural Networks
899. ICML 2024Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization
900. ICML 2024Codebook Features: Sparse and Discrete Interpretability for Neural Networks

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。