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20232025
most citedGenerative Language Models with Retrieval Augmented Generation for Automated Short Answer Scoring

1 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2025

ManchuTTS: Towards High-Quality Manchu Speech Synthesis via Flow Matching and Hierarchical Text Representation

Suhua Wang, Zifan Wang, Xiaoxin Sun +3

As an endangered language, Manchu presents unique challenges for speech synthesis, including severe data scarcity and strong phonological agglutination. This paper proposes ManchuT…

cs.AI2025

Search-Time Data Contamination

Ziwen Han, Meher Mankikar, Julian Michael +1

Data contamination refers to the leakage of evaluation data into model training data, resulting in overfitting to supposedly held-out test sets and compromising test validity. We i…

cs.CR2025★ 1 cited

A Red Teaming Roadmap Towards System-Level Safety

Zifan Wang, Christina Q. Knight, Jeremy Kritz +2

Large Language Model (LLM) safeguards, which implement request refusals, have become a widely adopted mitigation strategy against misuse. At the intersection of adversarial machine…

cs.CL2024★ 1 cited

Generative Language Models with Retrieval Augmented Generation for Automated Short Answer Scoring

Zifan Wang, Christopher Ormerod

Automated Short Answer Scoring (ASAS) is a critical component in educational assessment. While traditional ASAS systems relied on rule-based algorithms or complex deep learning met…

cs.CL2023★ 1 cited

Automatic Answerability Evaluation for Question Generation

Zifan Wang, Kotaro Funakoshi, Manabu Okumura

Conventional automatic evaluation metrics, such as BLEU and ROUGE, developed for natural language generation (NLG) tasks, are based on measuring the n-gram overlap between the gene…