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CMU Researchers Release Pangea-7B: A Fully Open Multimodal Large Language Models MLLMs for 39 Languages

Marktechpost

A team of researchers from Carnegie Mellon University introduced PANGEA, a multilingual multimodal LLM designed to bridge linguistic and cultural gaps in visual understanding tasks. PANGEA represents a significant step forward in creating inclusive and robust multilingual multimodal LLMs. Don’t Forget to join our 50k+ ML SubReddit.

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Open Artificial Knowledge (OAK) Dataset: A Large-Scale Resource for AI Research Derived from Wikipedia’s Main Categories

Marktechpost

However, acquiring such datasets presents significant challenges, including data scarcity, privacy concerns, and high data collection and annotation costs. Artificial (synthetic) data has emerged as a promising solution to these challenges, offering a way to generate data that mimics real-world patterns and characteristics.

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VulScribeR: A Large Language Model-Based Approach for Generating Diverse and Realistic Vulnerable Code Samples

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The Mutation strategy prompts the LLM to modify vulnerable code samples, ensuring that the changes do not alter the code’s original functionality. The Injection strategy involves retrieving similar vulnerable and clean code samples, with the LLM injecting the vulnerable logic into the clean code to create new samples.

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Bytedance Researchers Present Cross Language Agent – Simultaneous Interpretation (CLASI): A High-Quality And Human-Like Simultaneous Speech Translation (SiST) System

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LLMs are suggested to complete the SiST task because of their enormous success with machine and spoken translation. Starting with the read-write policy, which requires LLM only to offer partial translation for input speech, integrating LLM into the SiST takes work. If you like our work, you will love our newsletter.

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Advancing Test-Time Computing: Scaling System-2 Thinking for Robust and Cognitive AI

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While deep learning’s scaling effects have driven advancements in AI, particularly in LLMs like GPT, further scaling during training faces limitations due to data scarcity and computational constraints. Also,dont forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

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Small but Mighty: The Enduring Relevance of Small Language Models in the Age of LLMs

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This surprising trend highlights the continued relevance of SLMs and raises important questions about their role in the LLM era, a topic previously overlooked in research. This study examines the role of SMs in the LLM era from two perspectives: collaboration with LLMs and competition against them.

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