19 citations · 20 across the 6 of their papers we have counts for
6 papers
Explaining and Tuning Transformer-based LLMs in Arithmetic Tasks with Human Strategies
Luyu Qiu, Jianing Li, Hwanhee Kim +4
Transformer-based large language models (LLMs) continue to achieve state-of-the-art performance across various natural language processing tasks. However, their subpar performance…
TravelEval: A Comprehensive Benchmarking Framework for Evaluating LLM-Powered Travel Planning Agents
Weiyi Chen, Shuaixiong Wang, Ziyun Gao +5
The development of Large Language Models (LLMs) has significantly improved travel planning applications, yet evaluating such models is limited by existing benchmarks' limitations:…
Dissecting Multiplication in Transformers: Insights into LLMs
Luyu Qiu, Jianing Li, Chi Su +2
Transformer-based large language models have achieved remarkable performance across various natural language processing tasks. However, they often struggle with seemingly easy task…
XPose: eXplainable Human Pose Estimation
Luyu Qiu, Jianing Li, Lei Wen +4
Current approaches in pose estimation primarily concentrate on enhancing model architectures, often overlooking the importance of comprehensively understanding the rationale behind…
BoostER: Leveraging Large Language Models for Enhancing Entity Resolution
Huahang Li, Shuangyin Li, Fei Hao +3
Entity resolution, which involves identifying and merging records that refer to the same real-world entity, is a crucial task in areas like Web data integration. This importance is…
Similarity-driven and Task-driven Models for Diversity of Opinion in Crowdsourcing Markets
Chen Jason Zhang, Yunrui Liu, Pengcheng Zeng +4
The recent boom in crowdsourcing has opened up a new avenue for utilizing human intelligence in the realm of data analysis. This innovative approach provides a powerful means for c…