供应链可信论文趋势 2023–2026

主要结论

• 供应链可信论文从 2023 年的 9 篇增长到 2026 年的 41 篇，三年间扩大到约 4.6 倍。
• NeurIPS 是发供应链可信论文最多的会议，2023–2026 年共 35 篇，占四个会议总量的 38%。
• 交叉方向里涨得最快的是驾驶仿真：同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 5 篇。
• 在「安全与可信」的 5 个主题里，它的 2026 年论文数排第 5；同组增长最快的水印是 9.3 倍，供应链可信是 4.6 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 2026Can We Trust Item Response Theory for AI Evaluation?
• ICML 2026Who can we trust? LLM-as-a-jury for Comparative Assessment
• ICLR 2026Hey, That's My Model! Introducing Chain & Hash, An LLM Fingerprinting Technique
• CVPR 2026Trust-calibrated Collaborative Learning for Long-Tailed Visual Recognition
• NeurIPS 2025Chain-of-Model Learning for Language Model
• ICML 2025Navigating Conflicting Views: Harnessing Trust for Learning
• ICLR 2025Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo
• CVPR 2025Interleaved-Modal Chain-of-Thought
• NeurIPS 2024Chain-of-Thought Unfaithfulness as Disguised Accuracy
• ICML 2024Implicit meta-learning may lead language models to trust more reliable sources
• ICLR 2024Chain of Log-Concave Markov Chains
• CVPR 2024CoG-DQA: Chain-of-Guiding Learning with Large Language Models for Diagram Question Answering
• NeurIPS 2023Supply-Side Equilibria in Recommender Systems
• ICML 2023Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models
• ICLR 2023Rethinking skip connection model as a learnable Markov chain
• NeurIPS 2026From Infrastructure to Interface, the AI Value Chain Drives LLM Homogenization
• ICML 2026Covariance estimation using Markov chain Monte Carlo
• ICLR 2026Output Supervision Can Obfuscate the Chain of Thought
• CVPR 2026Cut to the Chase Training-free Multimodal Summarization via Chain-of-Events
• NeurIPS 2025You Can Trust Your Clustering Model: A Parameter-free Self-Boosting Plug-in for Deep Clustering

全部供应链可信论文

共 22 篇，第 1 / 1 页

1. ICLR 2026Emergence of Superposition: Unveiling the Training Dynamics of Chain of Continuous Thought
2. ICLR 2026Hey, That's My Model! Introducing Chain & Hash, An LLM Fingerprinting Technique
3. ICLR 2026Hidden Patterns in Chain-of-Thought Reasoning
4. ICLR 2026In Agents We Trust, but Who Do Agents Trust? Latent Preferences Steer LLM Generations
5. ICLR 2026Long Chain-of-Thought Reasoning Across Languages
6. ICLR 2026Output Supervision Can Obfuscate the Chain of Thought
7. ICLR 2026Pushing on Multilingual Reasoning Models with Language-Mixed Chain-of-Thought
8. ICLR 2026Scalable Chain of Thoughts via Elastic Reasoning
9. ICLR 2025Chain-of-Thought Provably Enables Learning the (Otherwise) Unlearnable
10. ICLR 2025CoTFormer: A Chain of Thought Driven Architecture with Budget-Adaptive Computation Cost at Inference
11. ICLR 2025Don't Take Things Out of Context: Attention Intervention for Enhancing Chain-of-Thought Reasoning in Large Language Models
12. ICLR 2025More RLHF, More Trust? On The Impact of Preference Alignment On Trustworthiness
13. ICLR 2025Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo
14. ICLR 2025Transformers Provably Solve Parity Efficiently with Chain of Thought
15. ICLR 2024BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models
16. ICLR 2024Chain of Log-Concave Markov Chains
17. ICLR 2024Chain of Thought Empowers Transformers to Solve Inherently Serial Problems
18. ICLR 2024Chain-of-Experts: When LLMs Meet Complex Operations Research Problems
19. ICLR 2024The Expressive Power of Transformers with Chain of Thought
20. ICLR 2023Automatic Chain of Thought Prompting in Large Language Models
21. ICLR 2023Language models are multilingual chain-of-thought reasoners
22. ICLR 2023Rethinking skip connection model as a learnable Markov chain

常见问题

2023–2026 年四大会议一共有多少篇供应链可信论文？

共 91 篇，按年份分别是 2023 年 9 篇、2024 年 21 篇、2025 年 20 篇、2026 年 41 篇。

NeurIPS 2026 有多少篇供应链可信论文？

NeurIPS 2026 有 19 篇供应链可信论文，上一届是 8 篇。

ICLR 2026 有多少篇供应链可信论文？

ICLR 2026 有 8 篇供应链可信论文，上一届是 6 篇。

ICML 2026 有多少篇供应链可信论文？

ICML 2026 有 7 篇供应链可信论文，上一届是 5 篇。

CVPR 2026 有多少篇供应链可信论文？

CVPR 2026 有 7 篇供应链可信论文，上一届是 1 篇。

哪个会议的供应链可信论文最多？

NeurIPS，2023–2026 年共 35 篇。