:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yun, Hye Sun, Zhang, Karen Y. C., Kouzy, Ramez, Marshall, Iain J., Li, Junyi Jessy, Wallace, Byron C.
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2502.07963
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

This Treatment Works, Right? Evaluating LLM Sensitivity to Patient Question Framing in Medical QA
by: Yun, Hye Sun, et al.
Published: (2026)

Faithfulness vs. Safety: Evaluating LLM Behavior Under Counterfactual Medical Evidence
by: Mo, Kaijie, et al.
Published: (2026)

Decide less, communicate more: On the construct validity of end-to-end fact-checking in medicine
by: Joseph, Sebastian, et al.
Published: (2025)

Automatically Extracting Numerical Results from Randomized Controlled Trials with Large Language Models
by: Yun, Hye Sun, et al.
Published: (2024)

QuaLLM-Health: An Adaptation of an LLM-Based Framework for Quantitative Data Extraction from Online Health Discussions
by: Kouzy, Ramez, et al.
Published: (2024)

Do Multi-Document Summarization Models Synthesize?
by: DeYoung, Jay, et al.
Published: (2023)

Do Automatic Factuality Metrics Measure Factuality? A Critical Evaluation
by: Ramprasad, Sanjana, et al.
Published: (2024)

Detection and Measurement of Syntactic Templates in Generated Text
by: Shaib, Chantal, et al.
Published: (2024)

TimeTox: An LLM-Based Pipeline for Automated Extraction of Time Toxicity from Clinical Trial Protocols
by: Vinjamuri, Saketh, et al.
Published: (2026)

Robo-Instruct: Simulator-Augmented Instruction Alignment For Finetuning Code LLMs
by: Hu, Zichao, et al.
Published: (2024)

LLMs Lean on Priors, Not Programming Language Semantics
by: Thimmaiah, Aditya, et al.
Published: (2025)

Do LLMs Benefit From Their Own Words?
by: Huang, Jenny Y., et al.
Published: (2026)

FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence
by: Joseph, Sebastian Antony, et al.
Published: (2024)

Is It JUST Semantics? A Case Study of Discourse Particle Understanding in LLMs
by: Sheffield, William, et al.
Published: (2025)

Question answering systems for health professionals at the point of care -- a systematic review
by: Kell, Gregory, et al.
Published: (2024)

Large Language Models Produce Responses Perceived to be Empathic
by: Lee, Yoon Kyung, et al.
Published: (2024)

Can SAEs reveal and mitigate racial biases of LLMs in healthcare?
by: Ahsan, Hiba, et al.
Published: (2025)

InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification
by: Trienes, Jan, et al.
Published: (2024)

Do Large Language Models Get Caught in Hofstadter-Mobius Loops?
by: Hryszko, Jaroslaw
Published: (2026)

Discourse Diversity in Multi-Turn Empathic Dialogue
by: Zhan, Hongli, et al.
Published: (2026)

Language Models (Mostly) Do Not Consider Emotion Triggers When Predicting Emotion
by: Singh, Smriti, et al.
Published: (2023)

Evaluating the Factuality of Zero-shot Summarizers Across Varied Domains
by: Ramprasad, Sanjana, et al.
Published: (2024)

SPRI: Aligning Large Language Models with Context-Situated Principles
by: Zhan, Hongli, et al.
Published: (2025)

Open (Clinical) LLMs are Sensitive to Instruction Phrasings
by: Arroyo, Alberto Mario Ceballos, et al.
Published: (2024)

Do they mean 'us'? Interpreting Referring Expressions in Intergroup Bias
by: Govindarajan, Venkata S, et al.
Published: (2024)

The Dual-Route Model of Induction
by: Feucht, Sheridan, et al.
Published: (2025)

EvalAgent: Discovering Implicit Evaluation Criteria from the Web
by: Wadhwa, Manya, et al.
Published: (2025)

WebWalker: Benchmarking LLMs in Web Traversal
by: Wu, Jialong, et al.
Published: (2025)

CREATE: Testing LLMs for Associative Creativity
by: Wadhwa, Manya, et al.
Published: (2026)

Do Large Language Models Understand Word Senses?
by: Meconi, Domenico, et al.
Published: (2025)

MedFabric and EtHER: A Data-Centric Framework for Word-Level Fabrication Generation and Detection in Medical LLMs
by: Kwok, Tung Sum Thomas, et al.
Published: (2026)

From Tokens to Words: On the Inner Lexicon of LLMs
by: Kaplan, Guy, et al.
Published: (2024)

Which course? Discourse! Teaching Discourse and Generation in the Era of LLMs
by: Li, Junyi Jessy, et al.
Published: (2026)

From Word to World: Evaluate and Mitigate Culture Bias in LLMs via Word Association Test
by: Dai, Xunlian, et al.
Published: (2025)

Elucidating Mechanisms of Demographic Bias in LLMs for Healthcare
by: Ahsan, Hiba, et al.
Published: (2025)

Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical Study
by: Sun, Zhaoyue, et al.
Published: (2024)

Do Activation Verbalization Methods Convey Privileged Information?
by: Li, Millicent, et al.
Published: (2025)

On-the-fly Definition Augmentation of LLMs for Biomedical NER
by: Munnangi, Monica, et al.
Published: (2024)

Word Form Matters: LLMs' Semantic Reconstruction under Typoglycemia
by: Wang, Chenxi, et al.
Published: (2025)

Circuit Distillation
by: Wadhwa, Somin, et al.
Published: (2025)