Yuming Yang

Orcid: 0009-0003-9518-7372

Affiliations:
  • Fudan University, School of Computer Science, Shanghai AI Laborator, Shanghai, China
  • University of Michigan, Department of Statistics, Ann Arbor, MI, USA (former)


According to our database1, Yuming Yang authored at least 21 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

AgentGym2: Benchmarking Large Language Model Agents in De-Idealized Real-World Environments.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
The Role of Entropy in Visual Grounding: Analysis and Optimization.
CoRR, December, 2025

Pre-Trained Policy Discriminators are General Reward Models.
CoRR, July, 2025

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation.
CoRR, April, 2025

Machine-assisted writing evaluation: Exploring pre-trained language models in analyzing argumentative moves.
CoRR, March, 2025

Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric.
CoRR, February, 2025

Pre-Trained Policy Discriminators are General Reward Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Have the VLMs Lost Confidence? A Study of Sycophancy in VLMs.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levels.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Mitigating Object Hallucinations in MLLMs via Multi-Frequency Perturbations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Multi-Programming Language Sandbox for LLMs.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2025

2024
TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use.
CoRR, 2024

Multi-Programming Language Sandbox for LLMs.
CoRR, 2024

Empirical Insights on Fine-Tuning Large Language Models for Question-Answering.
CoRR, 2024

SafeAligner: Safety Alignment against Jailbreak Attacks via Response Disparity Guidance.
CoRR, 2024

2019
Modeling and Experimental Design for MOOC Dropout Prediction: A Replication Perspective.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

2018
Enabling End-To-End Machine Learning Replicability: A Case Study in Educational Data Mining.
CoRR, 2018


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