ECLeKTic: a Novel Challenge Set for Evaluation of Cross-Lingual Knowledge Transfer
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Abstract (arXiv)
To achieve equitable performance across languages, large language models (LLMs) must be able to abstract knowledge beyond the language in which it was learnt. However, the current literature lacks reliable ways to measure LLMs' capability of such cross-lingual knowledge transfer. To that end, we present ECLeKTic, a multilingual closed-book QA dataset that Evaluates Cross-Lingual Knowledge Transfer in a simple, black-box manner. Concretely, we used the presence and absence of Wikipedia articles in 12 languages to detect pieces of information that were likely available during pre-training in one of the languages but not in the others. We curate ECLeKTic as a set of fact-seeking questions over this kind of information, in all the different languages. Therefore, in order to solve ECLeKTic the model is required to transfer knowledge between languages. We evaluated 8 LLMs and showed that current SOTA models struggle to effectively share knowledge across languages, even if they can predict the answer for questions in the language in which the knowledge was acquired.
Key facts. Cited by 29 papers in the map (data through 14 Oct 2026). Builds on 33 of its 43 references that are in the map. First posted on arXiv 28 Feb 2025.
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33 of 43 references.
References · 33
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- 2023Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Promptingcited by 165
- 2022A Review on Language Models as Knowledge Basescited by 157
- 2024How do Large Language Models Handle Multilingualism?cited by 150
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- 2024Cross-Dialect Information Retrieval: Information Access in Low-Resource and High-Variance Languagescited by 8
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Citing papers per year: 2025: 16; 2026: 13.
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- 2026Why Pretraining Fails to Share Cross-Lingual Knowledge16 Sep 2026
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- 2026Probing Factual Knowledge Transfer with Training Data Interventions1 Sep 2026
- 2026Latent-Space Intervention for Cross-Lingual Factual Consistency: Consistency Improvements without Accuracy Drops28 Aug 2026
- 2026Are Multilingual Models Actually Improving? Isolating True Cross-Lingual Transfer20 Jun 2026
- 2026Language models struggle with compartmentalization19 May 2026
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- 2026Knowledge Localization in Mixture-of-Experts LLMs Using Cross-Lingual Inconsistency17 Mar 2026
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- 2025Language over Content: Tracing Cultural Understanding in Multilingual Large Language Models18 Oct 2025
- 2025Rethinking Cross-lingual Gaps from a Statistical Viewpoint17 Oct 2025
- 2025Searching the Internet for Challenging Benchmarks at Scale30 Sep 2025
- 2025Latent learning: episodic memory complements parametric learning by enabling flexible reuse of experiences19 Sep 2025
- 2025Beyond the Rosetta Stone: Unification Forces in Generalization Dynamics14 Aug 2025
- 2025CUS-QA: Local-Knowledge-Oriented Open-Ended Question Answering Dataset30 Jul 2025
- 2025PropMEND: Hypernetworks for Knowledge Propagation in LLMs10 Jun 2025
- 2025Multilinguality Does not Make Sense: Investigating Factors Behind Zero-Shot Transfer in Sense-Aware Tasks30 May 2025
- 2025WikiGap: Promoting Epistemic Equity by Surfacing Knowledge Gaps Between English Wikipedia and other Language Editions30 May 2025
- 2025OWL: Probing Cross-Lingual Recall of Memorized Texts via World Literature28 May 2025
- 2025Language-Specific Latent Process Hinders Cross-Lingual Performance19 May 2025
- 2025Multilingual Performance Biases of Large Language Models in Education24 Apr 2025
- 2025Localized Cultural Knowledge is Conserved and Controllable in Large Language Models14 Apr 2025
- 2025Gemma 3 Technical Report25 Mar 2025
- 2025Gemma 3 Technical Reportcited by 1,824
- 2025Language-Specific Latent Process Hinders Cross-Lingual Performancecited by 21
- 2025Steering Language Models with Weight Arithmeticcited by 20
- 2025Latent learning: episodic memory complements parametric learning by enabling flexible reuse of experiencescited by 15
- 2025Multilingual Performance Biases of Large Language Models in Educationcited by 9
- 2025OWL: Probing Cross-Lingual Recall of Memorized Texts via World Literaturecited by 4
- 2025CUS-QA: Local-Knowledge-Oriented Open-Ended Question Answering Datasetcited by 4
- 2026Location Not Found: Exposing Implicit Local and Global Biases in Multilingual LLMscited by 4
- 2025WikiGap: Promoting Epistemic Equity by Surfacing Knowledge Gaps Between English Wikipedia and other Language Editionscited by 3
- 2025PropMEND: Hypernetworks for Knowledge Propagation in LLMscited by 3
- 2025Beyond the Rosetta Stone: Unification Forces in Generalization Dynamicscited by 3
- 2025Searching the Internet for Challenging Benchmarks at Scalecited by 2
12 most cited of 23 All 23 (JSON)
- 2026Where's Waldo? Query-language Preference under Cross-lingual Knowledge Disparities30 Sep 2026
- 2026Large-scale factor analysis shows machine intelligence is only partially interpretable29 Sep 2026
- 2026Why Pretraining Fails to Share Cross-Lingual Knowledge16 Sep 2026
- 2026Probing Factual Knowledge Transfer with Training Data Interventions1 Sep 2026
- 2026Latent-Space Intervention for Cross-Lingual Factual Consistency: Consistency Improvements without Accuracy Drops28 Aug 2026
- 2026Are Multilingual Models Actually Improving? Isolating True Cross-Lingual Transfer20 Jun 2026
- 2026Language models struggle with compartmentalization19 May 2026
- 2026Location Not Found: Exposing Implicit Local and Global Biases in Multilingual LLMs21 Apr 2026
- 2026Information Asymmetry across Language Varieties: A Case Study on Cantonese-Mandarin and Bavarian-German QA16 Mar 2026
- 2025Steering Language Models with Weight Arithmetic7 Nov 2025
- 2025A Diagnostic Benchmark for Sweden-Related Factual Knowledge24 Oct 2025
- 2025Language over Content: Tracing Cultural Understanding in Multilingual Large Language Models18 Oct 2025
12 newest of 23 All 23 (JSON)