Cross-lingual Biography Enrichment via Claim Extraction and Alignment

arXiv:2608.23390 · cs.CL, cs.AI · Submitted 2026-08-24 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-08-24

Updated: 2026-08-26

Code: https://github.com/MeloS7/cross_lingual_biography_enrichment

Terminology

• Alignment — 78× in this paper · explained in 1 episode
• Benchmark — 34× in this paper · explained in 2 episodes
• Verification — 20× in this paper · explained in 2 episodes
• Hallucination — 19× in this paper · explained in 3 episodes
• Accuracy — 7× in this paper · explained in 1 episode
• Core — 6× in this paper · explained in 2 episodes
• Relation Classification — 6× in this paper
• Calibration — 5× in this paper · explained in 7 episodes
• Consistency — 5× in this paper · explained in 3 episodes
• Semantic Similarity — 5× in this paper · explained in 2 episodes
• Cosine Similarity — 4× in this paper · explained in 3 episodes
• Verifier — 4× in this paper · explained in 2 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Annotator Agreement — 3× in this paper · explained in 1 episode
• Grounding — 3× in this paper · explained in 3 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Aggregation — 2× in this paper · explained in 1 episode
• Tokenization — 2× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Abstention — 1× in this paper · explained in 1 episode
• Commentary — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Information Asymmetry — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Provenance — 1× in this paper · explained in 3 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• REALM: Retrieval-Augmented Language Model Pre-Training
• Efficient Memory Management for Large Language Model Serving with PagedAttention
• Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
• OpenAI GPT-5 System Card
• FEVER: a large-scale dataset for Fact Extraction and VERification
• Qwen3 Technical Report
• SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

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