Jingjing Xu

Intersection traffic flow detection based on DSL-YOLOv5+DeepSORT area classification detection

2024

In this paper, a DSL-YOLOv5 + DeepSORT area classification detection method is proposed to run on a vehicle detection board to process intersection videos in real time and obtain traffic information required for traffic signal …

Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning

2025 · arXiv (Cornell University)

Chain-of-Thought (CoT) prompting has emerged as a powerful technique for enhancing language model's reasoning capabilities. However, generating long and correct CoT trajectories is challenging. Recent studies have demonstrated that Looped Transformers possess remarkable length generalization …

Diversity-Promoting GAN: A Cross-Entropy Based Generative Adversarial Network for Diversified Text Generation

2018

Existing text generation methods tend to produce repeated and "boring" expressions. To tackle this problem, we propose a new text generation model, called Diversity-Promoting Generative Adversarial Network (DP-GAN). The proposed model assigns low reward for …

Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach

2018

Jingjing Xu, Xu Sun, Qi Zeng, Xiaodong Zhang, Xuancheng Ren, Houfeng Wang, Wenjie Li. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2018.

Asking Clarification Questions in Knowledge-Based Question Answering

2019

Jingjing Xu, Yuechen Wang, Duyu Tang, Nan Duan, Pengcheng Yang, Qi Zeng, Ming Zhou, Xu Sun. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on …

Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering

2020 · Proceedings of the AAAI Conference on Artificial Intelligence

Commonsense question answering aims to answer questions which require background knowledge that is not explicitly expressed in the question. The key challenge is how to obtain evidence from external knowledge and make predictions based on …

A Survey on In-context Learning

2022 · arXiv (Cornell University)

With the increasing capabilities of large language models (LLMs), in-context learning (ICL) has emerged as a new paradigm for natural language processing (NLP), where LLMs make predictions based on contexts augmented with a few examples. …