SPATA: A seeding and patching algorithm for de novo transcriptome assembly. - Zhiyu Zhao; Tin Chi Nguyen; Nan Deng; Kristen Marie Johnson; Dongxiao Zhu (BIBM Workshops, 2011)

ASDCLAIMS: Twitter Dataset of Claims on Autism Spectrum Disorder. - Michelle YoungJin Kim; Junghwan Kim; Bryan Woosung Kim; Kristen Marie Johnson; Jee-In Kim (IEEE Big Data, 2022)

CLoSE: Contrastive Learning of Subframe Embeddings for Political Bias Classification of News Media. - Michelle YoungJin Kim; Kristen Marie Johnson (COLING, 2022)

Race, Gender, and Age Biases in Biomedical Masked Language Models. - Michelle Kim; Junghwan Kim; Kristen Marie Johnson (ACL (Findings), 2023)

PAC-tuning: Fine-tuning Pre-trained Language Models with PAC-driven Perturbed Gradient Descent. - Guangliang Liu; Zhiyu Xue; Xitong Zhang; Kristen Marie Johnson; Rongrong Wang (EMNLP, 2023)

PAC-tuning: Fine-tuning Pretrained Language Models with PAC-driven Perturbed Gradient Descent. - Guangliang Liu; Zhiyu Xue; Xitong Zhang; Kristen Marie Johnson; Rongrong Wang (CoRR, 2023)

Towards Understanding Task-agnostic Debiasing Through the Lenses of Intrinsic Bias and Forgetfulness. - Guangliang Liu; Milad Afshari; Xitong Zhang; Zhiyu Xue; Avrajit Ghosh; Bidhan Bashyal; Rongrong Wang; Kristen Marie Johnson (ACL (Findings), 2024)

ABLE: Agency-BeLiefs Embedding to Address Stereotypical Bias through Awareness Instead of Obliviousness. - Michelle YoungJin Kim; Junghwan Kim; Kristen Marie Johnson (LREC/COLING, 2024)

Intrinsic Self-correction for Enhanced Morality: An Analysis of Internal Mechanisms and the Superficial Hypothesis. - Guangliang Liu; Haitao Mao; Jiliang Tang; Kristen Marie Johnson (EMNLP, 2024)

On the Intrinsic Self-Correction Capability of LLMs: Uncertainty and Latent Concept. - Guangliang Liu; Haitao Mao; Bochuan Cao; Zhiyu Xue; Kristen Marie Johnson; Jiliang Tang; Rongrong Wang (CoRR, 2024)

Is Moral Self-correction An Innate Capability of Large Language Models? A Mechanistic Analysis to Self-correction. - Zimo Qi; Guangliang Liu; Kristen Marie Johnson; Lu Chen (CoRR, 2024)

Smaller Large Language Models Can Do Moral Self-Correction. - Guangliang Liu; Zhiyu Xue; Rongrong Wang; Kristen Marie Johnson (CoRR, 2024)

No Free Lunch for Defending Against Prefilling Attack by In-Context Learning. - Zhiyu Xue; Guangliang Liu; Bocheng Chen; Kristen Marie Johnson; Ramtin Pedarsani (CoRR, 2024)

A Survey to Recent Progress Towards Understanding In-Context Learning. - Haitao Mao; Guangliang Liu; Yao Ma 001; Rongrong Wang; Kristen Marie Johnson; Jiliang Tang (NAACL (Findings), 2025)

Revealing the Pragmatic Dilemma for Moral Reasoning Acquisition in Language Models. - Guangliang Liu; Lei Jiang; Xitong Zhang; Kristen Marie Johnson (CoRR, 2025)

Discourse Heuristics For Paradoxically Moral Self-Correction. - Guangliang Liu; Zimo Qi; Xitong Zhang; Kristen Marie Johnson (CoRR, 2025)

Diagnosing the Performance Trade-off in Moral Alignment: A Case Study on Gender Stereotypes. - Guangliang Liu; Bocheng Chen; Xitong Zhang; Kristen Marie Johnson (CoRR, 2025)

On the Convergence of Moral Self-Correction in Large Language Models. - Guangliang Liu; Haitao Mao; Bochuan Cao; Zhiyu Xue; Xitong Zhang; Rongrong Wang; Kristen Marie Johnson (CoRR, 2025)