most citedLeveraging Large Language Models in Conversational Recommender Systems

22 citations · 65 across the 9 of their papers we have counts for

collaborators
Showing cs.CLShow all

5 papers · 1 filter

cs.CL202315 cited

PolyLM: An Open Source Polyglot Large Language Model

Xiangpeng Wei, Haoran Wei, Huan Lin +15

Large language models (LLMs) demonstrate remarkable ability to comprehend, reason, and generate following nature language instructions. However, the development of LLMs has been pr…

cs.CL20231 cited

Bridging the Domain Gaps in Context Representations for k-Nearest Neighbor Neural Machine Translation

Zhiwei Cao, Baosong Yang, Huan Lin +6

-Nearest neighbor machine translation (NN-MT) has attracted increasing attention due to its ability to non-parametrically adapt to new translation domains. By using an upstre…

cs.CL202321 cited

From Statistical Methods to Deep Learning, Automatic Keyphrase Prediction: A Survey

Binbin Xie, Jia Song, Liangying Shao +6

Keyphrase prediction aims to generate phrases (keyphrases) that highly summarizes a given document. Recently, researchers have conducted in-depth studies on this task from various…

cs.CL20231 cited

Towards Fine-Grained Information: Identifying the Type and Location of Translation Errors

Keqin Bao, Yu Wan, Dayiheng Liu +5

Fine-grained information on translation errors is helpful for the translation evaluation community. Existing approaches can not synchronously consider error position and type, fail…

cs.CL20212 cited

Regularizing End-to-End Speech Translation with Triangular Decomposition Agreement

Yichao Du, Zhirui Zhang, Weizhi Wang +3

End-to-end speech-to-text translation (E2E-ST) is becoming increasingly popular due to the potential of its less error propagation, lower latency, and fewer parameters. Given the t…