Multilingual Models - Edgentiq

Evaluating Multistep Reasoning in Korean Language Models with Ko-MuSR

Predicting Language Model Adaptation Performance Across Pre-Training Stages

Bridging the Language Gap: LiRA Framework Boosts LLM Performance in Low-Resource Languages

Unequal Acceleration: How Speculative Decoding Impacts Language Model Performance Across Tasks

Jina-Reranker-v3: A New Paradigm for Document Ranking with Integrated Interactions

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Unpacking Dialect Challenges in Large Language Models: The Role of Tokenization and Representation

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Advancing English–Tigrinya Machine Translation with Custom Tokenizers and Refined Evaluation

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CultureScope: A Deeper Look into AI’s Cultural Competence

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Unveiling Language Model Learning: Tracking Linguistic Feature Development During Pretraining

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Bridging the Data Gap: How Pretraining Boosts Speech LLMs for Under-Resourced Languages

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The ‘Lost-in-the-Later’ Effect: A New Look at How LLMs Use Context

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Evaluating Multistep Reasoning in Korean Language Models with Ko-MuSR

October 29, 2025

Predicting Language Model Adaptation Performance Across Pre-Training Stages

October 28, 2025

Bridging the Language Gap: LiRA Framework Boosts LLM Performance in Low-Resource Languages

October 17, 2025