Yuchen Zeng

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2026
MEMENTO: Teaching LLMs to Manage Their Own Context.
CoRR, April, 2026

Demonstrations, CoT, and Prompting: A Theoretical Analysis of ICL.
CoRR, March, 2026

2025
ReJump: A Tree-Jump Representation for Analyzing and Improving LLM Reasoning.
CoRR, December, 2025

ParallelBench: Understanding the Trade-offs of Parallel Decoding in Diffusion LLMs.
CoRR, October, 2025

We-Math 2.0: A Versatile MathBook System for Incentivizing Visual Mathematical Reasoning.
CoRR, August, 2025

TabFlex: Scaling Tabular Learning to Millions with Linear Attention.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Parameter-Efficient Fine-Tuning of State Space Models.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

State-offset Tuning: State-based Parameter-Efficient Fine-Tuning for State Space Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2025

2024
Can MLLMs Perform Text-to-Image In-Context Learning?
CoRR, 2024

The Expressive Power of Low-Rank Adaptation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Federated Learning with Local Fairness Constraints.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Equal Improvability: A New Fairness Notion Considering the Long-term Impact.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Outlier-Robust Group Inference via Gradient Space Clustering.
CoRR, 2022

LIFT: Language-Interfaced Fine-Tuning for Non-language Machine Learning Tasks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Hybrid Blockchain-Based Resource Trading System for Federated Learning in Edge Computing.
IEEE Internet Things J., 2021

Improving Fairness via Federated Learning.
CoRR, 2021

Unsupervised Domain Alignment Based Open Set Structural Recognition of Macromolecules Captured By Cryo-Electron Tomography.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Topic Transitions in MOOCs: An Analysis Study.
Proceedings of the 14th International Conference on Educational Data Mining, 2021

2019
Multiway clustering via tensor block models.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Model-Based segmentation of image data using spatially constrained mixture models.
Neurocomputing, 2018


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