no code implementations • EACL (BEA) 2021 • Mengyu Zhang, Weiqi Wang, Shuqiao Sun, Weiwei Sun
We build a neural NSR system, which achieves a new state-of-the-art accuracy on English benchmark data.
2 code implementations • 22 Apr 2024 • Zheye Deng, Chunkit Chan, Weiqi Wang, Yuxi Sun, Wei Fan, Tianshi Zheng, Yauwai Yim, Yangqiu Song
The task of condensing large chunks of textual information into concise and structured tables has gained attention recently due to the emergence of Large Language Models (LLMs) and their potential benefit for downstream tasks, such as text summarization and text mining.
no code implementations • 21 Apr 2024 • Chunkit Chan, Cheng Jiayang, Yauwai Yim, Zheye Deng, Wei Fan, Haoran Li, Xin Liu, Hongming Zhang, Weiqi Wang, Yangqiu Song
Large Language Models (LLMs) have sparked substantial interest and debate concerning their potential emergence of Theory of Mind (ToM) ability.
no code implementations • 7 Mar 2024 • Chen Li, Weiqi Wang, Jingcheng Hu, Yixuan Wei, Nanning Zheng, Han Hu, Zheng Zhang, Houwen Peng
This paper shows that the LLaMA-2 7B model with common pre-training already exhibits strong mathematical abilities, as evidenced by its impressive accuracy of 97. 7% and 72. 0% on the GSM8K and MATH benchmarks, respectively, when selecting the best response from 256 random generations.
no code implementations • 28 Feb 2024 • Feihong Lu, Weiqi Wang, Yangyifei Luo, Ziqin Zhu, Qingyun Sun, Baixuan Xu, Haochen Shi, Shiqi Gao, Qian Li, Yangqiu Song, JianXin Li
However, understanding the intention behind social media posts remains challenging due to the implicitness of intentions in social media posts, the need for cross-modality understanding of both text and images, and the presence of noisy information such as hashtags, misspelled words, and complicated abbreviations.
no code implementations • 15 Feb 2024 • Ying Su, Tianqing Fang, Huiru Xiao, Weiqi Wang, Yangqiu Song, Tong Zhang, Lei Chen
In this paper, we propose to adopt textual entailment to find implicit entailment relations between CSKG nodes, to effectively densify the subgraph connecting nodes within the same conceptual class, which indicates a similar level of plausibility.
1 code implementation • 14 Jan 2024 • Weiqi Wang, Tianqing Fang, Chunyang Li, Haochen Shi, Wenxuan Ding, Baixuan Xu, Zhaowei Wang, Jiaxin Bai, Xin Liu, Jiayang Cheng, Chunkit Chan, Yangqiu Song
The sequential process of conceptualization and instantiation is essential to generalizable commonsense reasoning as it allows the application of existing knowledge to unfamiliar scenarios.
1 code implementation • 15 Nov 2023 • Zhaowei Wang, Haochen Shi, Weiqi Wang, Tianqing Fang, Hongming Zhang, Sehyun Choi, Xin Liu, Yangqiu Song
Cognitive research indicates that abstraction ability is essential in human intelligence, which remains under-explored in language models.
1 code implementation • 27 Oct 2023 • Wei Fan, Weijia Zhang, Weiqi Wang, Yangqiu Song, Hao liu
Conversational Recommender Systems (CRS) illuminate user preferences via multi-round interactive dialogues, ultimately navigating towards precise and satisfactory recommendations.
1 code implementation • 19 Oct 2023 • Cheng Jiayang, Lin Qiu, Tsz Ho Chan, Tianqing Fang, Weiqi Wang, Chunkit Chan, Dongyu Ru, Qipeng Guo, Hongming Zhang, Yangqiu Song, Yue Zhang, Zheng Zhang
Analogy-making between narratives is crucial for human reasoning.
1 code implementation • 18 Oct 2023 • Zheye Deng, Weiqi Wang, Zhaowei Wang, Xin Liu, Yangqiu Song
Commonsense Knowledge Graphs (CSKGs) are crucial for commonsense reasoning, yet constructing them through human annotations can be costly.
1 code implementation • 17 Oct 2023 • Haochen Shi, Weiqi Wang, Tianqing Fang, Baixuan Xu, Wenxuan Ding, Xin Liu, Yangqiu Song
Zero-shot commonsense Question-Answering (QA) requires models to reason about general situations beyond specific benchmarks.
1 code implementation • 8 Oct 2023 • Qing Zong, Zhaowei Wang, Baixuan Xu, Tianshi Zheng, Haochen Shi, Weiqi Wang, Yangqiu Song, Ginny Y. Wong, Simon See
A main goal of Argument Mining (AM) is to analyze an author's stance.
1 code implementation • NeurIPS 2023 • Jiaxin Bai, Xin Liu, Weiqi Wang, Chen Luo, Yangqiu Song
Traditional neural complex query answering (CQA) approaches mostly work on entity-centric KGs.
1 code implementation • 24 May 2023 • Weiqi Wang, Tianqing Fang, Wenxuan Ding, Baixuan Xu, Xin Liu, Yangqiu Song, Antoine Bosselut
The task of zero-shot commonsense question answering evaluates models on their capacity to reason about general scenarios beyond those presented in specific datasets.
1 code implementation • 9 May 2023 • Zhaowei Wang, Quyet V. Do, Hongming Zhang, Jiayao Zhang, Weiqi Wang, Tianqing Fang, Yangqiu Song, Ginny Y. Wong, Simon See
This paper proposes a new task to detect commonsense causation between two events in an event sequence (i. e., context), called contextualized commonsense causal reasoning.
2 code implementations • 8 May 2023 • Weiqi Wang, Tianqing Fang, Baixuan Xu, Chun Yi Louis Bo, Yangqiu Song, Lei Chen
Commonsense reasoning, aiming at endowing machines with a human-like ability to make situational presumptions, is extremely challenging to generalize.
no code implementations • 28 Apr 2023 • Chunkit Chan, Jiayang Cheng, Weiqi Wang, Yuxin Jiang, Tianqing Fang, Xin Liu, Yangqiu Song
This paper aims to quantitatively evaluate the performance of ChatGPT, an interactive large language model, on inter-sentential relations such as temporal relations, causal relations, and discourse relations.
1 code implementation • 20 Apr 2023 • Tianqing Fang, Quyet V. Do, Sehyun Choi, Weiqi Wang, Yangqiu Song
Populating Commonsense Knowledge Bases (CSKB) is an important yet hard task in NLP, as it tackles knowledge from external sources with unseen events and entities.
no code implementations • 10 Mar 2023 • Weiqi Wang, Zihang Zhao, Ziyuan Jiao, Yixin Zhu, Song-Chun Zhu, Hangxin Liu
We present an optimization-based framework for rearranging indoor furniture to accommodate human-robot co-activities better.
1 code implementation • 15 Nov 2022 • Changlong Yu, Weiqi Wang, Xin Liu, Jiaxin Bai, Yangqiu Song, Zheng Li, Yifan Gao, Tianyu Cao, Bing Yin
Understanding users' intentions in e-commerce platforms requires commonsense knowledge.
no code implementations • 30 Jun 2022 • Zeyu Zhang, Ziyuan Jiao, Weiqi Wang, Yixin Zhu, Song-Chun Zhu, Hangxin Liu
We present a robot learning and planning framework that produces an effective tool-use strategy with the least joint efforts, capable of handling objects different from training.
1 code implementation • 3 Jun 2022 • Mutian He, Tianqing Fang, Weiqi Wang, Yangqiu Song
Conceptualization, or viewing entities and situations as instances of abstract concepts in mind and making inferences based on that, is a vital component in human intelligence for commonsense reasoning.
no code implementations • 2 Jun 2022 • Weiqi Wang, Simone Brugiapaglia
We also present numerical experiments that illustrate the accuracy and stability of the method for the approximation of sparse and compressible solutions.
no code implementations • 21 May 2022 • Jin Xu, Weiqi Wang, Zheming Gao, Haochen Luo, Qian Wu
We then propose a delay prediction model based on non-homogeneous Markov chains.
2 code implementations • EMNLP 2021 • Tianqing Fang, Weiqi Wang, Sehyun Choi, Shibo Hao, Hongming Zhang, Yangqiu Song, Bin He
Experimental results show that generalizing commonsense reasoning on unseen assertions is inherently a hard task.
1 code implementation • 1 Jan 2021 • Tianqing Fang, Hongming Zhang, Weiqi Wang, Yangqiu Song, Bin He
On the other hand, generation models have the potential to automatically generate more knowledge.
no code implementations • 10 Feb 2020 • Weiqi Wang, Brian J. Spencer
The resulting boundary integral equations are solved numerically using a Chebyshev collocation method which is augmented by a fractional power term, derived by asymptotic analysis of the corner region, to resolve stress singularities at corners of the hole.
Analysis of PDEs Numerical Analysis Numerical Analysis
1 code implementation • ACL 2019 • Shamil Chollampatt, Weiqi Wang, Hwee Tou Ng
Automatic grammatical error correction (GEC) research has made remarkable progress in the past decade.