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This paper proposes EGTA, an Evidence-Grounded Terminology Adaptation framework for simultaneous speech translation that selectively uses document-specific terminology to improve translation of rare terms, achieving significant gains in named-entity and acronym recall without full-model fine-tuning.
Jerry Liu discusses building a document context layer for AI agents, covering retrieval evolution, OCR challenges, and future agent-native document formats, based on his talk at AI Engineer World Fair 2026.
Simon Willison updates his OpenAI WebRTC Audio Session tool to support the new GPT-Realtime-2 model and adds document context for conversational audio discussions.
Jerry Liu discusses how AI agents in finance rely on high-quality context engineering from documents, covering use cases like invoice processing and equity research, and shares workshop slides and a repository for building document parsing pipelines with human-in-the-loop review.