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As the industry moves from simple Large Language Model (LLM) inference toward autonomous agentic systems, the challenge for devs have...
arXiv:2602.22658v1 Announce Type: cross Abstract: Deepfake speech utterances can be forged by replacing one or more words in a bona...
arXiv:2602.22698v1 Announce Type: new Abstract: Leveraging Large Language Models (LLMs) for Knowledge Graph Completion (KGC) is promising but hindered by...
arXiv:2602.21262v2 Announce Type: replace Abstract: With increasing integration of Large Language Models (LLMs) into areas of high-stakes human decision-making, it...
arXiv:2602.22897v1 Announce Type: cross Abstract: Human intelligence naturally intertwines omni-modal perception — spanning vision, audio, and language — with complex...
arXiv:2602.22647v1 Announce Type: cross Abstract: Generative retrieval has emerged as a powerful paradigm for LLM-based recommendation. However, industrial recommender systems...
arXiv:2602.22723v1 Announce Type: new Abstract: There is growing recognition that many NLP tasks lack a single ground truth, as human...
arXiv:2602.22225v1 Announce Type: cross Abstract: Retrieval-augmented generation (RAG) has strong potential for producing accurate and factual outputs by combining language...
arXiv:2602.23070v1 Announce Type: cross Abstract: Although Automatic Speech Recognition (ASR) in Bengali has seen significant progress, processing long-duration audio and...




