2 code implementations • 28 Sep 2023 • Mingqi Yuan, Zequn Zhang, Yang Xu, Shihao Luo, Bo Li, Xin Jin, Wenjun Zeng
We present RLLTE: a long-term evolution, extremely modular, and open-source framework for reinforcement learning (RL) research and application.
no code implementations • 11 Aug 2023 • Fanglong Yao, Changyuan Tian, Jintao Liu, Zequn Zhang, Qing Liu, Li Jin, Shuchao Li, Xiaoyu Li, Xian Sun
Inspired by this, this paper innovatively proposes a multimodal Hypergraph-of-Thought (HoT) reasoning paradigm, which enables the foundation models to possess the expert-level ability of high-order multi-hop reasoning and multimodal comparative judgement.
1 code implementation • ICCV 2023 • Baao Xie, Bohan Li, Zequn Zhang, Junting Dong, Xin Jin, Jingyu Yang, Wenjun Zeng
They are complementary -- the outer navigation is to identify global-view semantic directions, and the inner refinement dedicates to fine-grained attributes.
no code implementations • 27 Feb 2023 • Linhao Zhang, Li Jin, Xian Sun, Guangluan Xu, Zequn Zhang, Xiaoyu Li, Nayu Liu, Qing Liu, Shiyao Yan
Multimodal hate detection, which aims to identify harmful content online such as memes, is crucial for building a wholesome internet environment.
1 code implementation • 27 Apr 2022 • Yuqi Chen, Keming Chen, Xian Sun, Zequn Zhang
Aspect Sentiment Triplet Extraction (ASTE) is a new fine-grained sentiment analysis task that aims to extract triplets of aspect terms, sentiments, and opinion terms from review sentences.
Ranked #1 on Aspect Sentiment Triplet Extraction on ASTE-Data-V2
no code implementations • ACL 2021 • Kaiwen Wei, Xian Sun, Zequn Zhang, Jingyuan Zhang, Guo Zhi, Li Jin
Implicit Event Argument Extraction seeks to identify arguments that play direct or implicit roles in a given event.
no code implementations • 20 Apr 2021 • Shiyao Yan, Zequn Zhang, Xian Sun, Guangluan Xu, Li Jin, Shuchao Li
Link Prediction, addressing the issue of completing KGs with missing facts, has been broadly studied.