67 citations · 97 across the 39 of their papers we have counts for
46 papers
Are Emotion and Rhetoric Neurons in LLM? Neuron Recognition and Adaptive Masking for Emotion-Rhetoric Prediction Steering
Li Zheng, Xin Zhang, Shuyi He +5
Accurate comprehension and controllable generation of emotion and rhetoric are pivotal for enhancing the reasoning capabilities of large language models (LLMs). Existing studies mo…
How Robust Are Large Language Models for Clinical Numeracy? An Empirical Study on Numerical Reasoning Abilities in Clinical Contexts
Minh-Vuong Nguyen, Fatemeh Shiri, Zhuang Li +1
Large Language Models (LLMs) are increasingly being explored for clinical question answering and decision support, yet safe deployment critically requires reliable handling of pati…
Evidence-based Distributional Alignment for Large Language Models
Viet-Thanh Pham, Lizhen Qu, Zhuang Li +1
Distributional alignment enables large language models (LLMs) to predict how a target population distributes its responses across answer options, rather than collapsing disagreemen…
AutoPP: Towards Automated Product Poster Generation and Optimization
Jiahao Fan, Yuxin Qin, Wei Feng +10
Product posters blend striking visuals with informative text to highlight the product and capture customer attention. However, crafting appealing posters and manually optimizing th…
ARQUSUMM: Argument-aware Quantitative Summarization of Online Conversations
An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh +1
Online conversations have become more prevalent on public discussion platforms (e.g. Reddit). With growing controversial topics, it is desirable to summarize not only diverse argum…
Hi-Reco: High-Fidelity Real-Time Conversational Digital Humans
Hongbin Huang, Junwei Li, Tianxin Xie +8
High-fidelity digital humans are increasingly used in interactive applications, yet achieving both visual realism and real-time responsiveness remains a major challenge. We present…