activity
20192026
most citedChronos: Learning the Language of Time Series

61 citations · 114 across the 16 of their papers we have counts for

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5 papers · 1 filter

cs.CL2026

MCGA: A Multi-task Classical Chinese Literary Genre Audio Corpus

Yexing Du, Kaiyuan Liu, Bihe Zhang +9

With the rapid advancement of Multimodal Large Language Models (MLLMs), their potential has gained significant attention in Chinese Classical Studies (CCS). While existing research…

cs.CL2025

When Does Multimodality Lead to Better Time Series Forecasting?

Xiyuan Zhang, Boran Han, Haoyang Fang +11

Recently, there has been growing interest in incorporating textual information into foundation models for time series forecasting. However, it remains unclear whether and under wha…

cs.CL2025★ 1 cited

Baichuan4-Finance Technical Report

Hanyu Zhang, Boyu Qiu, Yuhao Feng +6

Large language models (LLMs) have demonstrated strong capabilities in language understanding, generation, and reasoning, yet their potential in finance remains underexplored due to…

cs.CL2021★ 3 cited

TOD-DA: Towards Boosting the Robustness of Task-oriented Dialogue Modeling on Spoken Conversations

Xin Tian, Xinxian Huang, Dongfeng He +11

Task-oriented dialogue systems have been plagued by the difficulties of obtaining large-scale and high-quality annotated conversations. Furthermore, most of the publicly available…

cs.CL2019★ 40 cited

Proactive Human-Machine Conversation with Explicit Conversation Goals

Wenquan Wu, Zhen Guo, Xiangyang Zhou +4

Though great progress has been made for human-machine conversation, current dialogue system is still in its infancy: it usually converses passively and utters words more as a matte…