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Found 6 papers, 1 papers with code
Knowledge Informed Semantic Parsing for Conversational Question Answering
Specially, neural semantic parsers (NSPs) effectively translate natural questions to logical forms, which execute on KB and give desirable answers.
Simultaneously Self-Attending to Text and Entities for Knowledge-Informed Text Representations
In this work, we aim at directly learning text representations which leverage structured knowledge about entities mentioned in the text.
Atomic Self-Consistency for Better Long Form Generations
In this paper, we introduce Atomic Self-Consistency (ASC), a technique for improving the recall of relevant information in an LLM response.
Calibrating Long-form Generations from Large Language Models
Addressing this gap, we introduce a unified calibration framework, in which both the correctness of the LLMs' responses and their associated confidence levels are treated as distributions across a range of scores.
Longtonotes: OntoNotes with Longer Coreference Chains
Ontonotes has served as the most important benchmark for coreference resolution.
