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20242026
most citedSkewed Memorization in Large Language Models: Quantification and Decomposition

1 citations · 2 across the 6 of their papers we have counts for

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cs.CL2026

When Clipping Reverses Correction: Failure Dynamics of Pointwise Forward-KL On-Policy Self-Distillation

Di Huang, Hao Li, Yixin Chen +1

On-policy self-distillation (OPSD) trains a student on its own generated responses using feedback from the same model conditioned on privileged information. On mathematical reasoni…

cs.CL2025

Context-Aware Classification and Grading of Sensitive Information in Online Conversational Health Data

Yiwei Yan, Hao Li, Hua He +3

Online medical consultations contain sensitive health information whose privacy implications depend not only on the entities mentioned but also on how those entities are described…

cs.CL2025

RuozhiBench: Evaluating LLMs with Logical Fallacies and Misleading Premises

Zenan Zhai, Hao Li, Xudong Han +4

Recent advances in large language models (LLMs) have shown that they can answer questions requiring complex reasoning. However, their ability to identify and respond to text contai…

cs.CL2024

NYK-MS: A Well-annotated Multi-modal Metaphor and Sarcasm Understanding Benchmark on Cartoon-Caption Dataset

Ke Chang, Hao Li, Junzhao Zhang +1

Metaphor and sarcasm are common figurative expressions in people's communication, especially on the Internet or the memes popular among teenagers. We create a new benchmark named N…

cs.CL2024★ 1 cited

HealthQ: Unveiling Questioning Capabilities of LLM Chains in Healthcare Conversations

Ziyu Wang, Hao Li, Di Huang +3

Effective patient care in digital healthcare requires large language models (LLMs) that not only answer questions but also actively gather critical information through well-crafted…