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 1,357 篇，第 6 / 28 页

251. ICLR 2026Latent Planning Emerges with Scale
252. ICLR 2026LatentQA: Teaching LLMs to Decode Activations Into Natural Language
253. ICLR 2026Learning AND–OR Templates for Compositional Representation in Art and Design
254. ICLR 2026Learning for Highly Faithful Explainability
255. ICLR 2026Learning is Forgetting; LLM Training As Lossy Compression
256. ICLR 2026Learning multimodal dictionary decompositions with group-sparse autoencoders
257. ICLR 2026Learning on a Razor’s Edge: Identifiability and Singularity of Polynomial Neural Networks
258. ICLR 2026Learning Pseudorandom Numbers with Transformers: Permuted Congruential Generators, Curricula, and Interpretability
259. ICLR 2026Learning to Interpret Weight Differences in Language Models
260. ICLR 2026Learning to Lie: Adversarial Attacks on Human-AI Teams and LLMs
261. ICLR 2026Learning to Weight Parameters for Training Data Attribution
262. ICLR 2026LinguaMap: Which Layers of LLMs Speak Your Language and How to Tune Them?
263. ICLR 2026LLMs Process Lists With General Filter Heads
264. ICLR 2026Localizing Task Recognition and Task Learning in In-Context Learning via Attention Head Analysis
265. ICLR 2026LogicXGNN: Grounded Logical Rules for Explaining Graph Neural Networks
266. ICLR 2026Market Games for Generative Models: Equilibria, Welfare, and Strategic Entry
267. ICLR 2026Matched Data, Better Models: Target Aligned Data Filtering with Sparse Features
268. ICLR 2026MCbiF: Measuring Topological Autocorrelation in Multiscale Clusterings via 2-Parameter Persistent Homology
269. ICLR 2026Mechanism of Task-oriented Information Removal in In-context Learning
270. ICLR 2026Mechanistic Detection and Mitigation of Hallucination in Large Reasoning Models
271. ICLR 2026Medical Interpretability and Knowledge Maps of Large Language Models
272. ICLR 2026Misaligned Roles, Misplaced Images: Structural Input Perturbations Expose Multimodal Alignment Blind Spots
273. ICLR 2026Missingness Bias Calibration in Feature Attribution Explanations
274. ICLR 2026Mixing Mechanisms: How Language Models Retrieve Bound Entities In-Context
275. ICLR 2026Multi-Feature Quantized Self-Attention for Fair Large Language Models
276. ICLR 2026Multilingual Routing in Mixture-of-Experts
277. ICLR 2026Multiple Streams of Knowledge Retrieval: Enriching and Recalling in Transformers
278. ICLR 2026Multiple Token Divergence: Measuring and Steering In-Context Computation Density
279. ICLR 2026Narrow Finetuning Leaves Clearly Readable Traces in the Activation Differences
280. ICLR 2026NatADiff: Adversarial Boundary Guidance for Natural Adversarial Diffusion
281. ICLR 2026Nearly Space-Optimal Graph and Hypergraph Sparsification in Insertion-Only Data Streams
282. ICLR 2026Negative Pre-activations Differentiate Syntax
283. ICLR 2026Neologism Learning for Controllability and Self-Verbalization
284. ICLR 2026Neural Synchrony Between Socially Interacting Language Models
285. ICLR 2026Neural+Symbolic Approaches for Interpretable Actor-Critic Reinforcement Learning
286. ICLR 2026Neuron-Aware Data Selection in Instruction Tuning for Large Language Models
287. ICLR 2026Neuron-Level Analysis of Cultural Understanding in Large Language Models
288. ICLR 2026Newton Method Revisited: Global Convergence Rates up to $O(1/k^3)$ for Stepsize Schedules and Linesearch Procedures
289. ICLR 2026Neyman-Pearson Classification under Both Null and Alternative Distributions Shift
290. ICLR 2026NIMO: a Nonlinear Interpretable MOdel
291. ICLR 2026Null-Space Filtering for Data-free Continual Model Merging: Preserving Transparency, Promoting Fidelity
292. ICLR 2026Obfuscated Activations Bypass LLM Latent-Space Defenses
293. ICLR 2026Omni-iEEG: A Large-Scale, Comprehensive iEEG Dataset and Benchmark for Epilepsy Research
294. ICLR 2026On Predictability of Reinforcement Learning Dynamics for Large Language Models
295. ICLR 2026On the Expressiveness of State Space Models via Temporal Logics
296. ICLR 2026On the Impact of the Utility in Semivalue-based Data Valuation
297. ICLR 2026On the Limits of Sparse Autoencoders: A Theoretical Framework and Reweighted Remedy
298. ICLR 2026On the Predictive Power of Representation Dispersion in Language Models
299. ICLR 2026On the Spectral Differences Between NTK and CNTK and Their Implications for Point Cloud Recognition
300. ICLR 2026Online Minimization of Polarization and Disagreement via Low-Rank Matrix Bandits

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。