Rong Wang

Orcid: 0009-0004-5335-5152

Affiliations:
  • University of Tübingen, Germany
  • Stuttgart University, Institute of Natural Language Processing, Germany (former)


According to our database1, Rong Wang authored at least 17 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
DSPy-based neural-symbolic pipeline to enhance spatial reasoning in LLMs.
Neural Networks, 2026

Breaking Myths in LLM scaling and emergent abilities with a comprehensive statistical analysis.
Neurocomputing, 2026

2025
Systematic Framework of Application Methods for Large Language Models in Language Sciences.
CoRR, December, 2025

The fragility of "cultural tendencies" in LLMs.
CoRR, October, 2025

Computational Sentence-Level Metrics of Reading Speed and Its Ramifications for Sentence Comprehension.
Cogn. Sci., 2025

2024
A Pipeline of Neural-Symbolic Integration to Enhance Spatial Reasoning in Large Language Models.
CoRR, 2024

The Roles of Contextual Semantic Relevance Metrics in Human Visual Processing.
CoRR, 2024

A Novel Dependency Framework for Enhancing Discourse Data Analysis.
CoRR, 2024

Continuous Output Personality Detection Models via Mixed Strategy Training.
CoRR, 2024

Textual Similarity as a Key Metric in Machine Translation Quality Estimation.
CoRR, 2024

Automatic Essay Multi-dimensional Scoring with Fine-tuning and Multiple Regression.
CoRR, 2024

Differential contributions of machine learning and statistical analysis to language and cognitive sciences.
CoRR, 2024

TIMIT Speaker Profiling: A Comparison of Multi-task learning and Single-task learning Approaches.
CoRR, 2024

Computational Sentence-level Metrics Predicting Human Sentence Comprehension.
CoRR, 2024

Comprehensive Reassessment of Large-Scale Evaluation Outcomes in LLMs: A Multifaceted Statistical Approach.
CoRR, 2024

2022
Constructing the Corpus of Chinese Textual 'Run-on' Sentences (CCTRS): Discourse Corpus Benchmark with Multi-layer Annotations.
Proceedings of the 5th International Conference on Natural Language and Speech Processing, 2022

2021
Using the Relative Entropy of Linguistic Complexity to Assess L2 Language Proficiency Development.
Entropy, 2021


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