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Query-Efficient Correlation Clustering with Noisy Oracle
Two key features make correlation clustering quite suitable in real-world applications.
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Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space
A new framework is proposed in this paper to address these issues.
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Chain of Agents: Large Language Models Collaborating on Long-Context Tasks
Input reduction reduces the length of the input context before feeding to downstream LLMs.
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RK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases Shirley Wu
However, many previous works studied textual and relational retrieval tasks as separate topics.
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MEQA: A Benchmark for Multi-hop Event-centric Question Answering with Explanations
However, there's a lack of insight into how these models perform in terms
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