1 code implementation • 29 Feb 2024 • Qintong Li, Leyang Cui, Xueliang Zhao, Lingpeng Kong, Wei Bi
Large language models (LLMs) have achieved impressive performance across various mathematical reasoning benchmarks.
no code implementations • 21 Feb 2024 • Xueliang Zhao, Xinting Huang, Tingchen Fu, Qintong Li, Shansan Gong, Lemao Liu, Wei Bi, Lingpeng Kong
Multimodal reasoning stands as a pivotal capability for large vision-language models (LVLMs).
1 code implementation • 30 Oct 2023 • Qintong Li, Leyang Cui, Lingpeng Kong, Wei Bi
To explore the synergy between humans and LLM-based evaluators and address the challenges of existing inconsistent evaluation criteria in open-ended NLG tasks, we propose a Collaborative Evaluation pipeline CoEval, involving the design of a checklist of task-specific criteria and the detailed evaluation of texts, in which LLM generates initial ideation, and then humans engage in scrutiny.
1 code implementation • 22 May 2023 • Yafu Li, Qintong Li, Leyang Cui, Wei Bi, Longyue Wang, Linyi Yang, Shuming Shi, Yue Zhang
In practical scenarios, the detector faces texts from various domains or LLMs without knowing their sources.
no code implementations • 14 May 2023 • Jiyue Jiang, Sheng Wang, Qintong Li, Lingpeng Kong, Chuan Wu
In this paper, we propose a multi-source knowledge fusion method for CS dialogue (CSD), to generate open-ended responses guided by the CS principle and emotional support strategy.
1 code implementation • 24 Feb 2023 • Chang Ma, Haiteng Zhao, Lin Zheng, Jiayi Xin, Qintong Li, Lijun Wu, Zhihong Deng, Yang Lu, Qi Liu, Lingpeng Kong
RSA links query protein sequences to a set of sequences with similar structures or properties in the database and combines these sequences for downstream prediction.
1 code implementation • 19 Dec 2022 • Qintong Li, Zhiyong Wu, Lingpeng Kong, Wei Bi
Explaining the black-box predictions of NLP models naturally and accurately is an important open problem in natural language generation.
1 code implementation • Findings (ACL) 2022 • Qintong Li, Piji Li, Wei Bi, Zhaochun Ren, Yuxuan Lai, Lingpeng Kong
Open-ended text generation tasks, such as dialogue generation and story completion, require models to generate a coherent continuation given limited preceding context.
3 code implementations • 16 Feb 2022 • Jiacheng Ye, Jiahui Gao, Qintong Li, Hang Xu, Jiangtao Feng, Zhiyong Wu, Tao Yu, Lingpeng Kong
There is a growing interest in dataset generation recently due to the superior generative capacity of large pre-trained language models (PLMs).
1 code implementation • 18 Jan 2021 • Qintong Li, Piji Li, Xinyi Li, Zhaochun Ren, Zhumin Chen, Maarten de Rijke
In this paper, we propose the abstractive opinion tagging task, where systems have to automatically generate a ranked list of opinion tags that are based on, but need not occur in, a given set of user-generated reviews.
1 code implementation • COLING 2020 • Qintong Li, Hongshen Chen, Zhaochun Ren, Pengjie Ren, Zhaopeng Tu, Zhumin Chen
In response to this problem, we propose a multi-resolution adversarial model {--} EmpDG, to generate more empathetic responses.
1 code implementation • 21 Sep 2020 • Qintong Li, Piji Li, Zhaochun Ren, Pengjie Ren, Zhumin Chen
Finally, to generate the empathetic response, we propose an emotional cross-attention mechanism to learn the emotional dependencies from the emotional context graph.
1 code implementation • 20 Nov 2019 • Qintong Li, Hongshen Chen, Zhaochun Ren, Pengjie Ren, Zhaopeng Tu, Zhumin Chen
In response to this problem, we propose a multi-resolution adversarial model -- EmpDG, to generate more empathetic responses.