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Human Language Technology Center of Excellence, Johns Hopkins University
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Every team in the generation task produced at least one report deemed the best by human annotators, highlighting a leap in multimodal generation quality.
ColBERTSaR shrinks the index size by up to 70% without sacrificing retrieval performance, revolutionizing the efficiency of neural retrieval systems.
Forget just finding relevant documents – CoveR boosts the *diversity* of retrieved information by 10%, a critical step for comprehensive long-form RAG.
Stop blindly optimizing for retrieval relevance in RAG pipelines: coverage-based retrieval metrics are better early indicators of the final generated response's information coverage.
