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20162024
most citedChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning

53 citations · 62 across the 14 of their papers we have counts for

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8 papers · 1 filter

cs.CL2024

Domain-specific Question Answering with Hybrid Search

Dewang Sultania, Zhaoyu Lu, Twisha Naik +11

Domain specific question answering is an evolving field that requires specialized solutions to address unique challenges. In this paper, we show that a hybrid approach combining a…

cs.CL2024

VSP: Assessing the dual challenges of perception and reasoning in spatial planning tasks for VLMs

Qiucheng Wu, Handong Zhao, Michael Saxon +4

Vision language models (VLMs) are an exciting emerging class of language models (LMs) that have merged classic LM capabilities with those of image processing systems. However, the…

cs.CL20231 cited

Aspect-based Meeting Transcript Summarization: A Two-Stage Approach with Weak Supervision on Sentence Classification

Zhongfen Deng, Seunghyun Yoon, Trung Bui +7

Aspect-based meeting transcript summarization aims to produce multiple summaries, each focusing on one aspect of content in a meeting transcript. It is challenging as sentences rel…

cs.CL2023

Multilingual Sentence-Level Semantic Search using Meta-Distillation Learning

Meryem M'hamdi, Jonathan May, Franck Dernoncourt +2

Multilingual semantic search is the task of retrieving relevant contents to a query expressed in different language combinations. This requires a better semantic understanding of t…

cs.CL2023

Boosting Punctuation Restoration with Data Generation and Reinforcement Learning

Viet Dac Lai, Abel Salinas, Hao Tan +6

Punctuation restoration is an important task in automatic speech recognition (ASR) which aim to restore the syntactic structure of generated ASR texts to improve readability. While…

cs.CL202353 cited

ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning

Viet Dac Lai, Nghia Trung Ngo, Amir Pouran Ben Veyseh +4

Over the last few years, large language models (LLMs) have emerged as the most important breakthroughs in natural language processing (NLP) that fundamentally transform research an…