Search Results for author: Qintong Li

Found 13 papers, 11 papers with code

GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers

1 code implementation29 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.

GSM8K Math +1

Collaborative Evaluation: Exploring the Synergy of Large Language Models and Humans for Open-ended Generation Evaluation

1 code implementation30 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.

Text Generation

Deepfake Text Detection in the Wild

1 code implementation22 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.

Face Swapping Story Generation +1

A Cognitive Stimulation Dialogue System with Multi-source Knowledge Fusion for Elders with Cognitive Impairment

no code implementations14 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.

Retrieved Sequence Augmentation for Protein Representation Learning

1 code implementation24 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.

Property Prediction Representation Learning +1

Explanation Regeneration via Information Bottleneck

1 code implementation19 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.

Explanation Generation Language Modelling +2

Event Transition Planning for Open-ended Text 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.

Dialogue Generation Story Completion

ZeroGen: Efficient Zero-shot Learning via Dataset Generation

3 code implementations16 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).

Knowledge Distillation Natural Language Inference +5

Abstractive Opinion Tagging

1 code implementation18 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.

Sentence

EmpDG: Multi-resolution Interactive Empathetic Dialogue Generation

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.

Dialogue Generation

Knowledge Bridging for Empathetic Dialogue Generation

1 code implementation21 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.

Dialogue Generation

EmpDG: Multiresolution Interactive Empathetic Dialogue Generation

1 code implementation20 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.

Dialogue Generation

Cannot find the paper you are looking for? You can Submit a new open access paper.