activity
20242026
collaborators

7 papers

cs.CL2026

Multi-Functional Embedding Models for Funder Name Disambiguation in Scientific Publication Records

Kanyao Han, Zhiwen You, Jinseok Kim +1

Understanding the historical allocation and distribution of research funding advances our knowledge of how scientific research is supported across fields, institutions, and regions…

cs.CL2026

Neuron-Level Interventions for Gendered and Gender-Neutral Generation in Language Models

Zhiwen You, Nafiseh Nikeghbal, Jana Diesner

Language models (LMs) can produce gendered language and stereotypes even when given neutral prompts. Most prior work on gender bias in LMs primarily examines gender through a binar…

cs.CL2026

Improving Clinical Diagnosis with Counterfactual Multi-Agent Reasoning

Zhiwen You, Xi Chen, Aniket Vashishtha +5

Clinical diagnosis is a complex reasoning process in which clinicians gather evidence, form hypotheses, and test them against alternative explanations. In medical training, this re…

cs.CL2025

PlainQAFact: Retrieval-augmented Factual Consistency Evaluation Metric for Biomedical Plain Language Summarization

Zhiwen You, Yue Guo

Hallucinated outputs from large language models (LLMs) pose risks in the medical domain, especially for lay audiences making health-related decisions. Existing automatic factual co…

cs.DL2025

Revisiting gender bias research in bibliometrics: Standardizing methodological variability using Scholarly Data Analysis (SoDA) Cards

HaeJin Lee, Shubhanshu Mishra, Apratim Mishra +3

Gender biases in scholarly metrics remain a persistent concern, despite numerous bibliometric studies exploring their presence and absence across productivity, impact, acknowledgme…

cs.CL2024

SciPrompt: Knowledge-augmented Prompting for Fine-grained Categorization of Scientific Topics

Zhiwen You, Kanyao Han, Haotian Zhu +2

Prompt-based fine-tuning has become an essential method for eliciting information encoded in pre-trained language models for a variety of tasks, including text classification. For…