Zhuohan Xie
Zhuohan Xie has 5 papers in our library, in 2026, most of them on Question answering, Dialogue systems, Multilingual & cross-lingual NLP; often with Dhruv Sahnan, Fan Zhang, Jinyan Su.
OpenAlex · h-index 5 · 25 works · 104 citations OpenAlex, 2026-10-14
📄 5 works in our library · 🔗 Cited 43 times in our library · ⭐ Paper Stars ranking: #8496
Affiliations
Fields, topics and concepts
📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 5 worksComputer Science · 5 worksArtificial Intelligence · 5 worksLanguage and Linguistics · 5 worksComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 workSocial Sciences · 1 workSociology and Political Science · 1 work
🧭 Topics 7Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 1 workEvaluation & benchmarks · 1 workReasoning · 1 workInformation retrieval & search · 1 workQuestion answering · 1 workDialogue systems · 1 workSemitic languages · 1 work
Works by year
2020s
Papers
- FinChain: A Symbolic Benchmark for Verifiable Chain-of-Thought Financial Reasoning (2026 · 10 citations)
Current financial QA benchmarks such as FinQA and ConvFinQA mostly score the final number a model produces. - FinCARDS: Card-Based Analyst Reranking for Financial Document Question Answering (2026 · 8 citations)
Answering questions over long SEC filings (10-K/10-Q) depends on finding passages that match the right company, financial metric and fiscal period, and that often contain a concrete number. - Can LLMs Automate Fact-Checking Article Writing? (2026 · 5 citations)
Research on automated fact-checking usually ends at spotting claims, retrieving evidence, assigning a verdict and, at most, producing a short justification. - Is Human-Like Text Liked by Humans? Multilingual Human Detection and Preference Against AI (2026 · 5 citations)
Earlier work suggested that people can barely tell LLM output from human writing. Most of that evidence came from English text, GPT-3.5-turbo, and small samples. This paper tests whether the claim holds for newer models, other languages and expert readers, aiming to estimate the ceiling of human detection ability. - Cultural Benchmarking of LLMs in Standard and Dialectal Arabic Dialogues (2026 · 1 citation)
Arabic cultural benchmarks usually test isolated, single-turn questions in Modern Standard Arabic (MSA). Everyday cultural knowledge, however, is exchanged in conversation and in regional dialects. The authors build ArabCulture-Dialogue by turning each item of the existing ArabCulture benchmark into a short…
Co-authors here
- Dhruv Sahnan ×2
- Fan Zhang ×2
- Jinyan Su ×2
- Preslav Nakov ×2
- Abed Alhakim Freihat
- Amr Keleg
- Bilal Elbouardi
- Daniil Orel
- David Corney
- Debopriyo Banerjee
- Georgi Nenkov Georgiev
- Giovanni Puccetti
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×5: ACL 2026 ×3
- Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026
- Transactions of the Association for Computational Linguistics (TACL): Transactions of the Association for Computational Linguistics (TACL) 2026
Cited by
Updated
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