· ai
[Paper] Jina-VLM: Small Multilingual Vision Language Model
We present Jina-VLM, a 2.4B parameter vision-language model that achieves state-of-the-art multilingual visual question answering among open 2B-scale VLMs. The ...
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[Paper] Teaching Old Tokenizers New Words: Efficient Tokenizer Adaptation for Pre-trained Models
Tokenizer adaptation plays an important role in transferring pre-trained language models to new domains or languages. In this work, we address two complementary...
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[Paper] Is Lying Only Sinful in Islam? Exploring Religious Bias in Multilingual Large Language Models Across Major Religions
While recent developments in large language models have improved bias detection and classification, sensitive subjects like religion still present challenges be...
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[Paper] Reconstructing KV Caches with Cross-layer Fusion For Enhanced Transformers
Transformer decoders have achieved strong results across tasks, but the memory required for the KV cache becomes prohibitive at long sequence lengths. Although ...
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[Paper] Training and Evaluation of Guideline-Based Medical Reasoning in LLMs
Machine learning for early prediction in medicine has recently shown breakthrough performance, however, the focus on improving prediction accuracy has led to a ...
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[Paper] Is Vibe Coding Safe? Benchmarking Vulnerability of Agent-Generated Code in Real-World Tasks
Vibe coding is a new programming paradigm in which human engineers instruct large language model (LLM) agents to complete complex coding tasks with little super...
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[Paper] The Moral Consistency Pipeline: Continuous Ethical Evaluation for Large Language Models
The rapid advancement and adaptability of Large Language Models (LLMs) highlight the need for moral consistency, the capacity to maintain ethically coherent rea...
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[Paper] LORE: A Large Generative Model for Search Relevance
Achievement. We introduce LORE, a systematic framework for Large Generative Model-based relevance in e-commerce search. Deployed and iterated over three years, ...
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[Paper] Fine-Tuned Large Language Models for Logical Translation: Reducing Hallucinations with Lang2Logic
Recent advances in natural language processing (NLP), particularly large language models (LLMs), have motivated the automatic translation of natural language st...
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[Paper] Contextual Image Attack: How Visual Context Exposes Multimodal Safety Vulnerabilities
While Multimodal Large Language Models (MLLMs) show remarkable capabilities, their safety alignments are susceptible to jailbreak attacks. Existing attack metho...
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[Paper] AutoNeural: Co-Designing Vision-Language Models for NPU Inference
While Neural Processing Units (NPUs) offer high theoretical efficiency for edge AI, state-of-the-art Vision--Language Models (VLMs) tailored for GPUs often falt...
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[Paper] Martingale Score: An Unsupervised Metric for Bayesian Rationality in LLM Reasoning
Recent advances in reasoning techniques have substantially improved the performance of large language models (LLMs), raising expectations for their ability to p...