Supply-Chain Trust papers, 2023–2026

Key findings

• Supply-Chain Trust went from 9 papers in 2023 to 41 in 2026, roughly 4.6x in three years.
• NeurIPS publishes the most Supply-Chain Trust work: 35 papers from 2023 to 2026, 38% of the four-venue total.
• The fastest-growing overlap is with Simulation for Driving: papers tagged with both rose from 1 in 2023 to 5 in 2026.
• Among the 5 topics under Security and Trust, it ranks #5 by 2026 paper count; the fastest grower in the group, Watermarking, is up 9.3x versus 4.6x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Supply-Chain Trust papers

6 papers, page 1 of 1

1. ICLR 2025Chain-of-Thought Provably Enables Learning the (Otherwise) Unlearnable
2. ICLR 2025CoTFormer: A Chain of Thought Driven Architecture with Budget-Adaptive Computation Cost at Inference
3. ICLR 2025Don't Take Things Out of Context: Attention Intervention for Enhancing Chain-of-Thought Reasoning in Large Language Models
4. ICLR 2025More RLHF, More Trust? On The Impact of Preference Alignment On Trustworthiness
5. ICLR 2025Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo
6. ICLR 2025Transformers Provably Solve Parity Efficiently with Chain of Thought

FAQ

How many Supply-Chain Trust papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

91 in total: 9 in 2023, 21 in 2024, 20 in 2025, 41 in 2026.

How many Supply-Chain Trust papers are at NeurIPS 2026?

NeurIPS 2026 has 19 Supply-Chain Trust papers, versus 8 the year before.

How many Supply-Chain Trust papers are at ICLR 2026?

ICLR 2026 has 8 Supply-Chain Trust papers, versus 6 the year before.

How many Supply-Chain Trust papers are at ICML 2026?

ICML 2026 has 7 Supply-Chain Trust papers, versus 5 the year before.

How many Supply-Chain Trust papers are at CVPR 2026?

CVPR 2026 has 7 Supply-Chain Trust papers, versus 1 the year before.

Which conference publishes the most Supply-Chain Trust papers?

NeurIPS, with 35 papers from 2023 to 2026.