3 citations · 4 across the 10 of their papers we have counts for
8 papers · 1 filter
Social Pressure Breaks Majority Voting in LLM Safety Panels
Yibo Hu, Jiaming Qu
Large language models (LLMs) are increasingly used to detect unsafe content. A common approach is to combine judgments from a panel of models to correct individual mistakes, but th…
Most LLM Conformity Needs No Speaker: Measuring the Speaker-Free Floor in Peer-Pressure Benchmarks
Yibo Hu, Jiaming Qu
LLM conformity is often used to describe cases where a model changes a correct answer toward a peer or group response. We show that most of this apparent conformity survives even a…
Possible or Definite? A Benchmark for Evaluating Diagnostic Uncertainty Preservation in Clinical Text
Hongbo Du, Zixin Lu, Jiaming Qu
Large language models (LLMs) are increasingly used for clinical text tasks such as summarization and revision. While most studies evaluate the fluency and coherence of LLM-generate…
Easier to Mislead Than to Correct: Harmful and Beneficial Revision in LLM Conformity
Jiaming Qu, Lucheng Fu, Yibo Hu
Large language models are increasingly used in multi-agent systems, where they see and respond to other agents' answers. A key risk is conformity: a model may abandon its own answe…
PACE: Two-Timescale Self-Evolution for Small Language Model Agents
Chen Ling, Pei Chen, Albert Guan +4
Deploying language-model agents in production often requires substantial compute and human effort to tune prompts, parsers, validators, and other components of the agent pipeline.…
Lighting Up or Dimming Down? Exploring Dark Patterns of LLMs in Co-Creativity
Zhu Li, Jiaming Qu, Yuan Chang
Large language models (LLMs) are increasingly acting as collaborative writing partners, raising questions about their impact on human agency. In this exploratory work, we investiga…
Metaphors We Compute By: A Computational Audit of Cultural Translation vs. Thinking in LLMs
Yuan Chang, Jiaming Qu, Zhu Li
Large language models (LLMs) are often described as multilingual because they can understand and respond in many languages. However, speaking a language is not the same as reasonin…
A Multi-Agent Framework for Democratizing XR Content Creation in K-12 Classrooms
Yuan Chang, Zhu Li, Jiaming Qu
Generative AI (GenAI) combined with Extended Reality (XR) offers potential for K-12 education, yet classroom adoption remains limited by the high technical barrier of XR content au…