43 citations · 132 across the 11 of their papers we have counts for
12 papers
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale
Ang Li, Ben Liu, Bin Han +215
Efficient and scalable agentic intelligence requires models that can deliver both low-latency responses and strong reasoning capabilities while remaining practical to train, serve,…
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…
HealMe: Harnessing Cognitive Reframing in Large Language Models for Psychotherapy
Mengxi Xiao, Qianqian Xie, Ziyan Kuang +5
Large Language Models (LLMs) can play a vital role in psychotherapy by adeptly handling the crucial task of cognitive reframing and overcoming challenges such as shame, distrust, t…
Dólares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English
Xiao Zhang, Ruoyu Xiang, Chenhan Yuan +8
Despite Spanish's pivotal role in the global finance industry, a pronounced gap exists in Spanish financial natural language processing (NLP) and application studies compared to En…
FinBen: A Holistic Financial Benchmark for Large Language Models
Qianqian Xie, Weiguang Han, Zhengyu Chen +31
LLMs have transformed NLP and shown promise in various fields, yet their potential in finance is underexplored due to a lack of comprehensive evaluation benchmarks, the rapid devel…
LAiW: A Chinese Legal Large Language Models Benchmark
Yongfu Dai, Duanyu Feng, Jimin Huang +6
General and legal domain LLMs have demonstrated strong performance in various tasks of LegalAI. However, the current evaluations of these LLMs in LegalAI are defined by the experts…
Empowering Many, Biasing a Few: Generalist Credit Scoring through Large Language Models
Duanyu Feng, Yongfu Dai, Jimin Huang +6
In the financial industry, credit scoring is a fundamental element, shaping access to credit and determining the terms of loans for individuals and businesses alike. Traditional cr…
PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance
Qianqian Xie, Weiguang Han, Xiao Zhang +4
Although large language models (LLMs) has shown great performance on natural language processing (NLP) in the financial domain, there are no publicly available financial tailtored…
The Wall Street Neophyte: A Zero-Shot Analysis of ChatGPT Over MultiModal Stock Movement Prediction Challenges
Qianqian Xie, Weiguang Han, Yanzhao Lai +2
Recently, large language models (LLMs) like ChatGPT have demonstrated remarkable performance across a variety of natural language processing tasks. However, their effectiveness in…
Mastering Pair Trading with Risk-Aware Recurrent Reinforcement Learning
Weiguang Han, Jimin Huang, Qianqian Xie +3
Although pair trading is the simplest hedging strategy for an investor to eliminate market risk, it is still a great challenge for reinforcement learning (RL) methods to perform pa…
Select and Trade: Towards Unified Pair Trading with Hierarchical Reinforcement Learning
Weiguang Han, Boyi Zhang, Qianqian Xie +3
Pair trading is one of the most effective statistical arbitrage strategies which seeks a neutral profit by hedging a pair of selected assets. Existing methods generally decompose t…