83 citations · 107 across the 8 of their papers we have counts for
8 papers
Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery
Syed Rifat Raiyan, Mohsinul Kabir, Hasan Mahmud +2
Mathematical reasoning has long served as a stringent test of machine intelligence; over the past decade, it has moved from a niche problem within NLP to one of the most consequent…
MiraMind: Benchmarking Reliable Mental Health Reasoning beyond Answer Accuracy
Mengxi Xiao, Kailai Yang, Pengde Zhao +12
Mental-health reasoning with large language models (LLMs) is an evidence-constrained judgment problem: models must transform limited, subjective, and often ambiguous evidence into…
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications
Jimin Huang, Mengxi Xiao, Dong Li +41
Financial LLMs hold promise for advancing financial tasks and domain-specific applications. However, they are limited by scarce corpora, weak multimodal capabilities, and narrow ev…
Back to the Future: Towards Explainable Temporal Reasoning with Large Language Models
Chenhan Yuan, Qianqian Xie, Jimin Huang +1
Temporal reasoning is a crucial NLP task, providing a nuanced understanding of time-sensitive contexts within textual data. Although recent advancements in LLMs have demonstrated t…
CitationSum: Citation-aware Graph Contrastive Learning for Scientific Paper Summarization
Zheheng Luo, Qianqian Xie, Sophia Ananiadou
Citation graphs can be helpful in generating high-quality summaries of scientific papers, where references of a scientific paper and their correlations can provide additional knowl…
Span-based Named Entity Recognition by Generating and Compressing Information
Nhung T. H. Nguyen, Makoto Miwa, Sophia Ananiadou
The information bottleneck (IB) principle has been proven effective in various NLP applications. The existing work, however, only used either generative or information compression…