activity
20202026
most citedDouble Graph Based Reasoning for Document-level Relation Extraction

12 citations · 25 across the 7 of their papers we have counts for

collaborators

9 papers

cs.LG2026

MileGPO: Milestone Inference with Local Evidence for Graph-Based Policy Optimization of Long-Horizon LLM Agents

Bo Qian, Yuting Wu, Shuang Zeng +3

Credit assignment is challenging in long-horizon agentic reinforcement learning, where supervision often comes only from final rewards. Existing methods refine trajectory-level sig…

cs.CL2025

Incorporating Self-Rewriting into Large Language Model Reasoning Reinforcement

Jiashu Yao, Heyan Huang, Shuang Zeng +6

Through reinforcement learning (RL) with outcome correctness rewards, large reasoning models (LRMs) with scaled inference computation have demonstrated substantial success on compl…

cs.CL2022

A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction

Runxin Xu, Peiyi Wang, Tianyu Liu +3

Most previous studies aim at extracting events from a single sentence, while document-level event extraction still remains under-explored. In this paper, we focus on extracting eve…

cs.AI20221 cited

DISK: Domain-constrained Instance Sketch for Math Word Problem Generation

Tianyang Cao, Shuang Zeng, Xiaodan Xu +2

A math word problem (MWP) is a coherent narrative which reflects the underlying logic of math equations. Successful MWP generation can automate the writing of mathematics questions…

cs.CL20218 cited

SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction

Shuang Zeng, Yuting Wu, Baobao Chang

Document-level relation extraction has attracted much attention in recent years. It is usually formulated as a classification problem that predicts relations for all entity pairs i…

cs.CL2020

Generating Math Word Problems from Equations with Topic Controlling and Commonsense Enforcement

Tianyang Cao, Shuang Zeng, Songge Zhao +2

Recent years have seen significant advancement in text generation tasks with the help of neural language models. However, there exists a challenging task: generating math problem t…