Xiang Ji
Xiang Ji has 2 papers in our library, in 2025–2026, most of them on Evaluation & benchmarks, Reasoning, Legal AI; often with Erik Cambria, Haoran Luo, Jiapu Wang.
OpenAlex · ORCID · Wikidata · h-index 25 · 125 works · 3,270 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 42 times in our library · ⭐ Paper Stars ranking: #9904
Affiliations
Fields, topics and concepts
📚 Shelves 9The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksMathematics · 1 workArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksApplied Mathematics · 1 workComputational Theory and Mathematics · 1 workPolitical Science and International Relations · 1 workSocial Sciences · 1 work
🧭 Topics 3Research subjects and languages the work is about.Reasoning · 1 workEvaluation & benchmarks · 1 workLegal AI · 1 work
💡 Concepts 1Key ideas and methods explained on our concept pages.Artificial intelligence · 1 work
Works by year
2020s
Papers
- MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations (2025 · 42 citations)
The paper asks whether strong LLM results on competition math come from real reasoning or from memorized solution patterns. - LexGenius: An Expert-Level Benchmark for Large Language Models in Legal General Intelligence (2026 · 2 citations)
Current legal benchmarks for LLMs mostly score final answers on technical tasks. They tend to ignore "soft" legal skills such as ethical judgment and assessing social impact, and their static public data may have leaked into training sets. LexGenius is a Chinese expert-level benchmark designed to probe legal general…
Co-authors here
- Erik Cambria
- Haoran Luo
- Jiapu Wang
- Jiawei Ge
- Kaixuan Huang
- Ming Yin
- Rui Mao
- Shirui Pan
- Tianle Cai
- Wenjin Liu
- Wenzhe Li
- Yue Wu
Venues
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Cited by
Updated
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