16 citations · 22 across the 10 of their papers we have counts for
10 papers · 1 filter
IESR:Efficient MCTS-Based Modular Reasoning for Text-to-SQL with Large Language Models
Tao Liu, Jiafan Lu, Bohan Yu +11
Text-to-SQL is a key natural language processing task that maps natural language questions to SQL queries, enabling intuitive interaction with web-based databases. Although current…
BiasFilter: An Inference-Time Debiasing Framework for Large Language Models
Xiaoqing Cheng, Ruizhe Chen, Hongying Zan +2
Mitigating social bias in large language models (LLMs) has become an increasingly important research objective. However, existing debiasing methods often incur high human and compu…
SILC-EFSA: Self-aware In-context Learning Correction for Entity-level Financial Sentiment Analysis
Senbin Zhu, Chenyuan He, Hongde Liu +6
In recent years, fine-grained sentiment analysis in finance has gained significant attention, but the scarcity of entity-level datasets remains a key challenge. To address this, we…
LaiDA: Linguistics-aware In-context Learning with Data Augmentation for Metaphor Components Identification
Hongde Liu, Chenyuan He, Feiyang Meng +2
Metaphor Components Identification (MCI) contributes to enhancing machine understanding of metaphors, thereby advancing downstream natural language processing tasks. However, the c…
ZZU-NLP at SIGHAN-2024 dimABSA Task: Aspect-Based Sentiment Analysis with Coarse-to-Fine In-context Learning
Senbin Zhu, Hanjie Zhao, Xingren Wang +3
The DimABSA task requires fine-grained sentiment intensity prediction for restaurant reviews, including scores for Valence and Arousal dimensions for each Aspect Term. In this stud…
MRC-based Nested Medical NER with Co-prediction and Adaptive Pre-training
Xiaojing Du, Hanjie Zhao, Danyan Xing +2
In medical information extraction, medical Named Entity Recognition (NER) is indispensable, playing a crucial role in developing medical knowledge graphs, enhancing medical questio…
FaiMA: Feature-aware In-context Learning for Multi-domain Aspect-based Sentiment Analysis
Songhua Yang, Xinke Jiang, Hanjie Zhao +3
Multi-domain aspect-based sentiment analysis (ABSA) seeks to capture fine-grained sentiment across diverse domains. While existing research narrowly focuses on single-domain applic…
A Corpus for Named Entity Recognition in Chinese Novels with Multi-genres
Hanjie Zhao, Jinge Xie, Yuchen Yan +3
Entities like person, location, organization are important for literary text analysis. The lack of annotated data hinders the progress of named entity recognition (NER) in literary…
Knowledge-injected Prompt Learning for Chinese Biomedical Entity Normalization
Songhua Yang, Chenghao Zhang, Hongfei Xu +1
The Biomedical Entity Normalization (BEN) task aims to align raw, unstructured medical entities to standard entities, thus promoting data coherence and facilitating better downstre…
Zhongjing: Enhancing the Chinese Medical Capabilities of Large Language Model through Expert Feedback and Real-world Multi-turn Dialogue
Songhua Yang, Hanjie Zhao, Senbin Zhu +4
Recent advances in Large Language Models (LLMs) have achieved remarkable breakthroughs in understanding and responding to user intents. However, their performance lag behind genera…