About Me
I am a Research Scientist at Mohamed bin Zayed University of Artificial Intelligence
(MBZUAI), working on AI for Finance. My research focuses on financial agents,
verifiable reasoning, and trustworthy evaluation of language and multimodal models
in high-stakes decision settings.
I build benchmarks, shared tasks, and verification systems that test whether AI models
can reason with evidence, follow structured constraints, and make reliable decisions.
My recent work develops this research program through
FinChain , FinMMEval , SAHM ,
FinCARDS , and Herculean .
Research Interests
Financial agents and decision-making: planning, trading, hedging, auditing, memory stability, mandate drift, and risk-aware protocols.
Verifiable financial reasoning: symbolic templates, executable checks, evidence grounding, and domain constraints for auditable decisions.
Trustworthy LLM evaluation: rigorous evaluation of language and multimodal models under financial, multilingual, and high-stakes constraints.
Shared evaluation infrastructure: benchmarks, labs, leaderboards, final-test portals, and reproducible release workflows.
Collaboration
Open to focused collaborations that turn evaluation ideas into reusable public assets:
Verifiable finance benchmarks
Symbolic templates, executable checks, domain constraints, and metrics that expose reasoning failures.
Financial-agent protocols
Decision workflows, paper-trading windows, mandate drift, memory lock-in, and risk-aware diagnostics.
Shared-task infrastructure
Lab-style evaluation with participant systems, final-test portals, leaderboards, and working notes.
Analyst workflow benchmarks
Document QA, analyst reranking, reporting agents, recommendation, and grounded evaluation for finance.
News
2026.09
SQLStructEval accepted to AACL 2026 Findings.
2026.09
Prediction-Market Seed Capital Recovery from Noise-Dominant Flow accepted to FinNLP 2026 as a poster.
2026.08
Jais 2 and Aligning Cultural Behaviors accepted to EMNLP 2026 Main; Right Frame, Wrong Rule accepted to Findings.
2026.08
Serving as an Area Chair for FinNLP 2026 , a workshop at EMNLP 2026.
2026.08
Our FinMMEval Lab proposal accepted for CLEF 2027.
Earlier in 2026
2026.05
FinChain and SAHM accepted to ACL 2026 Main as oral presentations.
2026.05
FinCARDS , RealFin , and Same Claim, Different Judgment accepted to ACL 2026 Findings.
2026.05
Conv-FinRe accepted to SIGIR 2026, extending the finance line into utility-grounded recommendation.
2026.05
FinReporting accepted to ACL 2026 Demo.
2026.05
Herculean released as an agentic benchmark for financial intelligence.
2026.04
FinMMEval appeared at ECIR 2026 as evaluation infrastructure for AI in finance.
Selected Publications
AACL 2026 Findings · Accepted
Yixi Zhou, Fan Zhang, Zhiqiao Guo, Yu Chen, Haipeng Zhang, Preslav Nakov, Zhuohan Xie
FinNLP 2026 · Accepted · Poster
Prediction-Market Seed Capital Recovery from Noise-Dominant Flow
Yankai Chen, Bowei He, Zhuohan Xie , Zhiwei Liu, Fan Zhang, Xueqing Peng, Yan Wang, Lingfei Qian, Xue Liu
EMNLP 2026 Findings · Accepted
Rania Elbadry, Ahmed Heakl, Saeed Almheiri, Fan Zhang, Muhra AlMahri, ..., Fajri Koto, Zhuohan Xie
EMNLP 2026 Main · Accepted
Mohamed Anwar, Abed Alhakim Freihat, George Ibrahim, ..., Zhuohan Xie , ..., Preslav Nakov
EMNLP 2026 Main · Accepted
Aligning Cultural Behaviors in Arabic Language Models via Preferences
Junhong Liang, Daniil Orel, Saeed Almheiri, ..., Zhuohan Xie , ..., Preslav Nakov, Fajri Koto
ACL 2026 Main · Oral
Zhuohan Xie , Daniil Orel, Rushil Thareja, Dhruv Sahnan, Hachem Madmoun, et al.
Introduces symbolic financial reasoning templates with executable verification checks.
Serves as the main anchor for my verifiable financial reasoning line.
financial reasoning
benchmark
verifiability
CLEF 2026 · First author
Zhuohan Xie , Yuyang Dai, Rania Elbadry, Vanshikaa Jani, Xueqing Peng, et al.
Builds public shared-task infrastructure for multilingual and multimodal financial AI evaluation.
Connects task definitions, final-test portals, leaderboards, participant systems, and working notes.
shared task
multimodal
finance
ACL 2026 Main · Oral
Rania Elbadry, Sarfraz Ahmad, Ahmed Heakl, Dani Bouch, Momina Ahsan, ..., Preslav Nakov, Zhuohan Xie
Evaluates Arabic financial reasoning under linguistic and Shari'ah-specific constraints.
Student-led work supervised as part of the broader financial AI benchmark program.
ACL 2026 Findings
Yixi Zhou, Fan Zhang, Yu Chen, Haipeng Zhang, Preslav Nakov, Zhuohan Xie
Studies analyst-style evidence reranking for financial document question answering.
Connects retrieval, utility-grounded evidence use, and supervised student-led benchmarking.
arXiv 2026
Xueqing Peng, Zhuohan Xie , Yupeng Cao, Haohang Li, Lingfei Qian, et al.
Benchmarks financial agents across trading, hedging, market insight, and auditing workflows.
Extends the finance line from static reasoning benchmarks to agentic decision protocols.
Portfolio
Financial AI work by program pillar
Each project is positioned as either a flagship anchor, a supporting asset, or an
infrastructure component. The goal is cumulative ownership of a research line, not a
loose pile of finance papers.
Verifiable financial reasoning
FinChain ACL 2026 Main, Oral
SAHM ACL 2026 Main, Oral
Culture-aware financial reasoning ongoing
Evidence-grounded analyst workflows
Financial agents and decision protocols
Herculean agentic financial intelligence
Agent mandate stability ongoing
Strategic decision agents ongoing
Community evaluation infrastructure
FinMMEval CLEF 2026 Lab / ECIR 2026
FinMMEval leaderboards Task 1/2/3 results and live evaluation
Financial intelligence challenge planning competition and shared-task planning
Other Work
Adjacent trustworthy AI work
Earlier work in fact-checking, evidence retrieval, and text generation/evaluation supplies
the broader trustworthy-AI foundation behind the finance program.
Mentoring
I work closely with students and early-stage collaborators from problem framing to benchmark design,
experiments, writing, rebuttal strategy, and release planning.
Experience
May 2026 – Present: Research Scientist, Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE.
Jul 2024 – May 2026: Postdoctoral Associate, Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE.
Feb 2024 – Jul 2024: Research Assistant, Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE.
Education
2020 – 2024: Ph.D. in Computing and Information Systems, University of Melbourne.
2017 – 2019: Master of Information Technology, University of Melbourne.
2013 – 2017: Bachelor of Software Engineering and Bachelor of Advertising, Xiamen University.