Naacl 2024 Industry Track . Welcome to the openreview homepage for naacl 2024 industry track. Our paper on efficiently distilling large language models got accepted at naacl 2024 (industry track).
Bibliographic details on proceedings of the 2024 conference of the north american chapter of the association for computational linguistics: A quick introduction to submitting to naacl 2024:
Naacl 2024 Industry Track Images References :
Source: aclanthology.org
Optimizing LLM Based Retrieval Augmented Generation Pipelines in the , Proceedings of the 2024 conference of the north american chapter of the association for computational linguistics:
Source: aclanthology.org
Reducing hallucination in structured outputs via RetrievalAugmented , Bibliographic details on proceedings of the 2024 conference of the north american chapter of the association for computational linguistics:
Source: aclanthology.org
Leveraging Customer Feedback for Multimodal Insight Extraction ACL , Mert inan, katherine atwell, anthony sicilia, lorna quandt, malihe alikhani.
Source: aclanthology.org
An Automatic Prompt Generation System for Tabular Data Tasks ACL , Our paper on efficiently distilling large language models got accepted at naacl 2024 (industry track).
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Scaling Up Authorship Attribution ACL Anthology , Call for industry track papers is out:
Source: www.cambridge.org
NAACL 2024 Cambridge University Press , Human language technologies (volume 6:.
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Multimodal Contextual Dialogue Breakdown Detection for Conversational , Can smaller large language models punch above their weight in the real world for meeting summarization?
Source: novaessentials.net
NAACL Industry track offers reality checks, new directions Discover , Our paper on efficiently distilling large language models got accepted at naacl 2024 (industry track).
Source: aclanthology.org
Automating the Generation of a Functional Semantic Types Ontology with , Human language technologies (volume 6:.
Source: aclanthology.org
REXEL An Endtoend Model for DocumentLevel Relation Extraction and , Human language technologies (volume 6:.