Chaoran Liu
Chaoran Liu has 2 papers in our library, in 2026, most of them on Language models & pretraining, Evaluation & benchmarks, Reasoning; often with Daisuke Kawahara, Hideyuki Tachibana, Hirokazu Kiyomaru.
OpenAlex · ORCID · h-index 11 · 16 works · 735 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 1 time in our library · ⭐ Paper Stars ranking: #11452
Affiliations
Fields, topics and concepts
📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works
🧭 Topics 3Research subjects and languages the work is about.Evaluation & benchmarks · 1 workReasoning · 1 workLanguage models & pretraining · 1 work
Works by year
2020s
Papers
- BIS Reasoning 1.0: The First Large-Scale Japanese Benchmark for Belief-Inconsistent Syllogistic Reasoning (2026 · 1 citation)
Large language models often show belief bias: they judge an argument by whether its conclusion sounds plausible rather than by whether it follows logically. - Demystifying Mixed Outcomes of Self-Training: Pre-training Analyses on Non-Toy LLMs (2026)
Studies of self-training disagree. Some report that LLMs improve when retrained on their own outputs, while others report model collapse. The authors suspect the disagreement comes from different experimental setups: strong models with engineered pipelines on one side, and toy models with unconditional generation on…
Co-authors here
Venues
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
- Language Resources and Evaluation Conference (LREC): LREC 2026
Cited by
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