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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.
MSCE is a training-free framework that organizes LLM agent experience into three memory levels and converts them into reusable skills with evidence links, outperforming existing memory and skill-augmented baselines.
Introduces Knowledgeless Language Models (KLLMs), pretrained on corpora with anonymized entities to suppress parametric recall and enhance evidence-grounded reasoning, achieving substantial improvements on contextual QA, fact verification, and hallucination detection benchmarks.
This paper introduces ResearchStudio-Idea, a reusable research ideation skill suite based on analysis of ML conference papers. It includes Paper-Search, Scoop-Check, and IdeaSpark, generating evidence-supported research ideas using 15 patterns extracted from 1,947 papers.
This paper introduces Data Journalist Agent (Data2Story), a multi-agent framework that automates data journalism by generating evidence-grounded, multimodal news stories while ensuring transparency and verifiability.