Yiming Wang

Orcid: 0000-0001-5821-8895

Affiliations:
  • Shanghai Jiao Tong University, Department of Computer Science and Engineering, Shanghai, China
  • Beihang University, Institute of Artificial Intelligence, Beijing Advanced Innovation Center for Big Data and Brain Computing, State Key Laboratory of Software Development Environment, Beijing, China (2019 - 2023)


According to our database1, Yiming Wang authored at least 21 papers between 2013 and 2025.

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

Timeline

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Bibliography

2025
Igniting Language Intelligence: The Hitchhiker's Guide from Chain-of-Thought Reasoning to Language Agents.
ACM Comput. Surv., August, 2025

Translationese-index: Using Likelihood Ratios for Graded and Generalizable Measurement of Translationese.
CoRR, July, 2025

PolyMath: Evaluating Mathematical Reasoning in Multilingual Contexts.
CoRR, April, 2025

Sampling-Efficient Test-Time Scaling: Self-Estimating the Best-of-N Sampling in Early Decoding.
CoRR, March, 2025

Do Large Language Models Truly Understand Geometric Structures?
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

RetroDiff: Retrosynthesis as Multi-stage Distribution Interpolation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024
Reduced-dose deep learning iterative reconstruction for abdominal computed tomography with low tube voltage and tube current.
BMC Medical Informatics Decis. Mak., December, 2024

Trajectory Volatility for Out-of-Distribution Detection in Mathematical Reasoning.
CoRR, 2024

Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

R-Judge: Benchmarking Safety Risk Awareness for LLM Agents.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

AlignSum: Data Pyramid Hierarchical Fine-tuning for Aligning with Human Summarization Preference.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Meta-Reasoning: Semantics-Symbol Deconstruction for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
RetroDiff: Retrosynthesis as Multi-stage Distribution Interpolation.
CoRR, 2023

Meta-Reasoning: Semantics-Symbol Deconstruction For Large Language Models.
CoRR, 2023

Element-aware Summarization with Large Language Models: Expert-aligned Evaluation and Chain-of-Thought Method.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Noise-injected Consistency Training and Entropy-constrained Pseudo Labeling for Semi-supervised Extractive Summarization.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2014
Combining Domain Adaptation Approaches for Medical Text Translation.
Proceedings of the Ninth Workshop on Statistical Machine Translation, 2014

Domain Adaptation for Medical Text Translation using Web Resources.
Proceedings of the Ninth Workshop on Statistical Machine Translation, 2014

Factored Statistical Machine Translation for Grammatical Error Correction.
Proceedings of the Eighteenth Conference on Computational Natural Language Learning: Shared Task, 2014

2013
A Description of Tunable Machine Translation Evaluation Systems in WMT13 Metrics Task.
Proceedings of the Eighth Workshop on Statistical Machine Translation, 2013


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