5 papers · 1 filter
Fast Numbers, Slow Language: Bridging Quantitative and Qualitative Earnings Signals
Ding Yu, Zhuo Liu, Hao Zhang +1
Earnings announcements release two types of information sequentially: quantitative surprise (numeric earnings-per-share (EPS)/revenue versus analyst estimate) arrives first in pres…
Style or Content? Evaluating Style Classifiers with Controlled Content Overlap
Zhuo Liu, Haozheng Du, Xiangxiang Xu +1
Style classifiers can use content cues that correlate with style labels in naturally collected data, yet we lack a systematic way to measure this reliance. We study this problem wi…
TreeRare: Syntax Tree-Guided Retrieval and Reasoning for Knowledge-Intensive Question Answering
Boyi Zhang, Zhuo Liu, Hangfeng He
In real practice, questions are typically complex and knowledge-intensive, requiring Large Language Models (LLMs) to recognize the multifaceted nature of the question and reason ac…
Mitigating Hallucinations in Multimodal Spatial Relations through Constraint-Aware Prompting
Jiarui Wu, Zhuo Liu, Hangfeng He
Spatial relation hallucinations pose a persistent challenge in large vision-language models (LVLMs), leading to generate incorrect predictions about object positions and spatial co…
Same Company, Same Signal: The Role of Identity in Earnings Call Transcripts
Ding Yu, Zhuo Liu, Hangfeng He
Post-earnings volatility prediction is critical for investors, with previous works often leveraging earnings call transcripts under the assumption that their rich semantics contrib…