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Delayed Fusion: Integrating Large Language Models into First-Pass Decoding in End-to-end Speech Recognition Apple Machine Learning Research

This paper presents an efficient decoding approach for end-to-end automatic speech recognition (E2E-ASR) with large language models (LLMs). Although shallow fusion is the most common approach to incorporate language models into E2E-ASR decoding, we face two practical problems with LLMs. (1) LLM inference is computationally… Read More »Delayed Fusion: Integrating Large Language Models into First-Pass Decoding in End-to-end Speech Recognition Apple Machine Learning Research

[[{“value”:” Chemical reasoning involves intricate, multi-step processes requiring precise calculations, where small errors can lead to significant issues. LLMs often struggle with domain-specific challenges, such as accurately handling chemical formulas, reasoning through complex steps, and integrating code effectively. Despite advancements in scientific reasoning, benchmarks like… Read More »ChemAgent: Enhancing Large Language Models for Complex Chemical Reasoning with Dynamic Memory Frameworks Sana Hassan Artificial Intelligence Category – MarkTechPost

[[{“value”:” Multimodal large language models (MLLMs) bridge vision and language, enabling effective interpretation of visual content. However, achieving precise and scalable region-level comprehension for static images and dynamic videos remains challenging. Temporal inconsistencies, scaling inefficiencies, and limited video comprehension hinder progress, particularly in maintaining consistent… Read More »NVIDIA AI Introduces Omni-RGPT: A Unified Multimodal Large Language Model for Seamless Region-level Understanding in Images and Videos Asif Razzaq Artificial Intelligence Category – MarkTechPost

[[{“value”:” Enabling artificial intelligence to navigate and retrieve contextually rich, multi-faceted information from the internet is important in enhancing AI functionalities. Traditional search engines are limited to superficial results, failing to capture the nuances required to investigate profoundly integrated content across a network of related… Read More »This AI Paper from Alibaba Unveils WebWalker: A Multi-Agent Framework for Benchmarking Multistep Reasoning in Web Traversal Aswin Ak Artificial Intelligence Category – MarkTechPost

Machine learning (ML) is now a part of our daily lives, from the voice assistants on our mobiles to advanced robots performing tasks similar to humans. Machine learning (ML) is now a part of our daily lives, from the voice assistants on our mobiles to advanced… Read More »The Roadmap for Mastering Machine Learning in 2025 Kanwal Mehreen MachineLearningMastery.com

[[{“value”:” Large Language Models (LLMs) have become integral to various artificial intelligence applications, demonstrating capabilities in natural language processing, decision-making, and creative tasks. However, critical challenges remain in understanding and predicting their behaviors. Treating LLMs as black boxes complicates efforts to assess their reliability, particularly… Read More »CMU Researchers Propose QueRE: An AI Approach to Extract Useful Features from a LLM Sajjad Ansari Artificial Intelligence Category – MarkTechPost

[[{“value”:” Large language models (LLMs) have become central to natural language processing (NLP), excelling in tasks such as text generation, comprehension, and reasoning. However, their ability to handle longer input sequences is limited by significant computational challenges, particularly memory overhead during inference caused by key-value… Read More »Meet Tensor Product Attention (TPA): Revolutionizing Memory Efficiency in Language Models Aswin Ak Artificial Intelligence Category – MarkTechPost

[[{“value”:” LLMs are essential in industries such as education, healthcare, and customer service, where natural language understanding plays a crucial role. Though highly versatile, LLMs’ challenge is adapting to new tasks. Most fine-tuning methods are resource and time-consuming. Moreover, the fine-tuning approach often results in… Read More »Sakana AI Introduces Transformer²: A Machine Learning System that Dynamically Adjusts Its Weights for Various Tasks Nikhil Artificial Intelligence Category – MarkTechPost

[[{“value”:” With AI Agents being the Talk of the Town, CopilotKit is an open-source framework designed to give you a holistic exposure to that experience. It facilitates the integration of AI copilots into applications, enabling developers to create interactive AI-driven functionalities easily. It provides a… Read More »CoAgents: A Frontend Framework Reshaping Human-in-the-Loop AI Agents for Building Next-Generation Interactive Applications with Agent UI and LangGraph Integration Asif Razzaq Artificial Intelligence Category – MarkTechPost

[[{“value”:” LLMs have significantly advanced natural language processing, excelling in tasks like open-domain question answering, summarization, and conversational AI. However, their growing size and computational demands highlight inefficiencies in managing extensive contexts, particularly in functions requiring complex reasoning and retrieving specific information. To address this,… Read More »Enhancing Retrieval-Augmented Generation: Efficient Quote Extraction for Scalable and Accurate NLP Systems Sana Hassan Artificial Intelligence Category – MarkTechPost