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Xinxin Li

3 accepted papers

2025

LLMs Can Also Do Well! Breaking Barriers in Semantic Role Labeling via Large Language Models

ACL 2025finding

Semantic role labeling (SRL) is a crucial task of natural language processing (NLP). Although generative decoder-based large language models (LLMs) have achieved remarkable success across various NLP tasks, they still lag behind state-of-the-art encoder-decoder (BERT-like) models in SRL. In this wor…

2024

Semantic Role Labeling from Chinese Speech via End-to-End Learning

ACL 2024findings

Semantic Role Labeling (SRL), crucial for understanding semantic relationships in sentences, has traditionally focused on text-based input. However, the increasing use of voice assistants and the need for hands-free interaction have highlighted the importance of SRL from speech.SRL from speech can b…

2021

Load Sharing Design of a Multi-legged Adaptable Gripper With Gecko-Inspired Controllable Adhesion

RA-L 2021

Gecko-inspired controllable dry adhesion has promising applications in various fields such as transfer printing, advanced robotics, and space technology. In this study, we proposed a multi-legged self-adaptive gripper based on gecko-inspired controllable adhesion to manipulate both flat and curved o

Cited by 16SourceScholar