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Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors
Paper • 2305.11159 • Published • 1 -
CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors
Paper • 2305.05711 • Published • 2 -
Improving Continual Relation Extraction through Prototypical Contrastive Learning
Paper • 2210.04513 • Published • 1
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Zero-Shot Cross-Lingual Summarization via Large Language Models
Paper • 2302.14229 • Published • 1 -
Towards Unifying Multi-Lingual and Cross-Lingual Summarization
Paper • 2305.09220 • Published • 2 -
GPT Self-Supervision for a Better Data Annotator
Paper • 2306.04349 • Published • 1 -
Few-shot training LLMs for project-specific code-summarization
Paper • 2207.04237 • Published • 1
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Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors
Paper • 2305.11159 • Published • 1 -
CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors
Paper • 2305.05711 • Published • 2 -
Improving Continual Relation Extraction through Prototypical Contrastive Learning
Paper • 2210.04513 • Published • 1
-
Zero-Shot Cross-Lingual Summarization via Large Language Models
Paper • 2302.14229 • Published • 1 -
Towards Unifying Multi-Lingual and Cross-Lingual Summarization
Paper • 2305.09220 • Published • 2 -
GPT Self-Supervision for a Better Data Annotator
Paper • 2306.04349 • Published • 1 -
Few-shot training LLMs for project-specific code-summarization
Paper • 2207.04237 • Published • 1