#long-form-qa News & Analysis

3 articles tagged with #long-form-qa. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AINeutralarXiv – CS AI · Jun 56/10

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Narrative Knowledge Weaver: Narrative-Centric Retrieval-Augmented Reasoning for Long-Form Text Understanding

Researchers introduce Narrative Knowledge Weaver (NKW), a framework that improves AI's ability to answer questions about long-form narratives by integrating textual evidence, graph structures, and entity profiles to better understand story progression and character dynamics. The system outperforms existing retrieval methods on screenplay-based benchmarks while maintaining competitive performance on passage-focused tasks.

AIBullisharXiv – CS AI · Jun 16/10

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Planner-Centric Reinforcement Learning for Deep Research with Structure-Aware Reward

Researchers introduce DecomposeR, a framework that trains language models to conduct deep research by explicitly representing plans as directed acyclic graphs rather than flat trajectories. The approach separates planning and execution into two distinct reinforcement learning stages, improving long-form answer generation by 5.1-8.0 points over comparable baselines on benchmark datasets.

AINeutralarXiv – CS AI · Mar 26/1015

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LFQA-HP-1M: A Large-Scale Human Preference Dataset for Long-Form Question Answering

Researchers released LFQA-HP-1M, a dataset with 1.3 million human preference annotations for evaluating long-form question answering systems. The study introduces nine quality rubrics and shows that simple linear models can match advanced LLM evaluators while exposing vulnerabilities in current evaluation methods.