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pro vyhledávání: '"Tamber, Manveer Singh"'
Autor:
Bao, Forrest Sheng, Li, Miaoran, Qu, Renyi, Luo, Ge, Wan, Erana, Tang, Yujia, Fan, Weisi, Tamber, Manveer Singh, Kazi, Suleman, Sourabh, Vivek, Qi, Mike, Tu, Ruixuan, Xu, Chenyu, Gonzales, Matthew, Mendelevitch, Ofer, Ahmad, Amin
Summarization is one of the most common tasks performed by large language models (LLMs), especially in applications like Retrieval-Augmented Generation (RAG). However, existing evaluations of hallucinations in LLM-generated summaries, and evaluations
Externí odkaz:
http://arxiv.org/abs/2410.13210
Embedding models that generate representation vectors from natural language text are widely used, reflect substantial investments, and carry significant commercial value. Companies such as OpenAI and Cohere have developed competing embedding models a
Externí odkaz:
http://arxiv.org/abs/2406.09355
Scaling Down, LiTting Up: Efficient Zero-Shot Listwise Reranking with Seq2seq Encoder-Decoder Models
Recent work in zero-shot listwise reranking using LLMs has achieved state-of-the-art results. However, these methods are not without drawbacks. The proposed methods rely on large LLMs with billions of parameters and limited context sizes. This paper
Externí odkaz:
http://arxiv.org/abs/2312.16098
Akademický článek
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Autor:
Jaap Kamps, Lorraine Goeuriot, Fabio Crestani, Maria Maistro, Hideo Joho, Brian Davis, Cathal Gurrin, Udo Kruschwitz, Annalina Caputo
The three-volume set LNCS 13980, 13981 and 13982 constitutes the refereed proceedings of the 45th European Conference on IR Research, ECIR 2023, held in Dublin, Ireland, during April 2-6, 2023. The 65 full papers, 41 short papers, 19 demonstration pa