Skill Issue: Are Skills Language-Invariant in LLMs?
Large language models access knowledge inconsistently across languages, but to what extent do they differ in their skill sets when interacting with different languages? This work quantifies cross-lingual skill inconsistency orthogonally from knowledge and general benchmark performance. We do this via multilingual self-play: two instances of the same model compete in a text-based game, each interacting through a different language interface. Since the model, opponent, rules, state space, and available actions remain fixed, this setting isolates the effect of language on the model's realized beh
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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- PossiblePossibly related (embedding) · 52%Capable language models can outgrow the benefits of collaboration →
- PossiblePossibly related (embedding) · 49%The Large Language Model (LLM) understands the world through human texts. A world model is needed f.. - 매일경제 →
- FuzzyOverlapping authors or contributors · 62%modular/modular →
“Shared author/contributor keys: liu”
- FuzzyOverlapping authors or contributors · 62%DietrichGebert/ponytail →
“Shared author/contributor keys: cheng”
- FuzzySimilar title/name (fuzzy) · 59%virgiliojr94/book-to-skill →
“Fuzzy title match (0.73): “Skill Issue: Are Skills Language-Invariant in LLMs?” ≈ “virgiliojr94/book-to-skill””
- FuzzySimilar title/name (fuzzy) · 59%KKKKhazix/khazix-skills →
“Fuzzy title match (0.73): “Skill Issue: Are Skills Language-Invariant in LLMs?” ≈ “KKKKhazix/khazix-skills””
- LinkedLinked via arxiv author · 85%Bobby Cheng →
“Skill Issue: Are Skills Language-Invariant in LLMs?”
- LinkedLinked via arxiv author · 85%Adam Gaber →
“Skill Issue: Are Skills Language-Invariant in LLMs?”