activity
20192025
most citedSenSeNet: Neural Keyphrase Generation with Document Structure

9 citations · 21 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CL2025

Amplify Adjacent Token Differences: Enhancing Long Chain-of-Thought Reasoning with Shift-FFN

Yao Xu, Mingyu Xu, Fangyu Lei +7

Recently, models such as OpenAI-o1 and DeepSeek-R1 have demonstrated remarkable performance on complex reasoning tasks through Long Chain-of-Thought (Long-CoT) reasoning. Although…

cs.CL2024

LLaSA: Large Language and Structured Data Assistant

Yao Xu, Shizhu He, Jiabei Chen +5

Structured data, such as tables, graphs, and databases, play a critical role in plentiful NLP tasks such as question answering and dialogue system. Recently, inspired by Vision-Lan…

cs.IR2023

T2Ranking: A large-scale Chinese Benchmark for Passage Ranking

Xiaohui Xie, Qian Dong, Bingning Wang +8

Passage ranking involves two stages: passage retrieval and passage re-ranking, which are important and challenging topics for both academics and industries in the area of Informati…

cs.CL2022

ChiQA: A Large Scale Image-based Real-World Question Answering Dataset for Multi-Modal Understanding

Bingning Wang, Feiyang Lv, Ting Yao +4

Visual question answering is an important task in both natural language and vision understanding. However, in most of the public visual question answering datasets such as VQA, CLE…

cs.CL2021

ComQA:Compositional Question Answering via Hierarchical Graph Neural Networks

Bingning Wang, Ting Yao, Weipeng Chen +2

With the development of deep learning techniques and large scale datasets, the question answering (QA) systems have been quickly improved, providing more accurate and satisfying an…

cs.CL2020★ 9 cited

SenSeNet: Neural Keyphrase Generation with Document Structure

Yichao Luo, Zhengyan Li, Bingning Wang +3

Keyphrase Generation (KG) is the task of generating central topics from a given document or literary work, which captures the crucial information necessary to understand the conten…