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Found 4 papers, 1 papers with code
Query-OPT: Optimizing Inference of Large Language Models via Multi-Query Instructions in Meeting Summarization
This work focuses on the task of query-based meeting summarization in which the summary of a context (meeting transcript) is generated in response to a specific query.
Tiny Titans: Can Smaller Large Language Models Punch Above Their Weight in the Real World for Meeting Summarization?
In this paper, we investigate whether smaller, compact LLMs are a good alternative to the comparatively Larger LLMs2 to address significant costs associated with utilizing LLMs in the real world.
Developing a Production System for Purpose of Call Detection in Business Phone Conversations
In this paper we describe our implementation of a commercial system to detect Purpose of Call statements in English business call transcripts in real time.
Creating a Corpus for Russian Data-to-Text Generation Using Neural Machine Translation and Post-Editing
In this paper, we propose an approach for semi-automatically creating a data-to-text (D2T) corpus for Russian that can be used to learn a D2T natural language generation model.
