10 citations · 28 across the 8 of their papers we have counts for
8 papers
Can Retrievers Find the Same Paper from Different Aspects? A Multi-Aspect Full-Paper Scientific Retrieval Benchmark
Yiyang Wei, Fang Guo, Qiji Zhou +4
Scientific papers contain multiple searchable facets such as background, methods. However, many paper retrieval benchmarks merely evaluate individual query-paper relevance, while o…
Sci-Surf: Navigating Scientific Literature Discovery through Human Feedback and Intelligent Summarization
Fang Guo, Qi Zhu, Rongcan Pei +3
The rapid growth of scientific publications makes it increasingly difficult for researchers to identify relevant new studies and effectively comprehend them. Existing academic disc…
Personality Alignment of Large Language Models
Minjun Zhu, Yixuan Weng, Linyi Yang +1
Aligning large language models (LLMs) typically aim to reflect general human values and behaviors, but they often fail to capture the unique characteristics and preferences of indi…
Human-in-the-loop Robotic Grasping using BERT Scene Representation
Yaoxian Song, Penglei Sun, Pengfei Fang +3
Current NLP techniques have been greatly applied in different domains. In this paper, we propose a human-in-the-loop framework for robotic grasping in cluttered scenes, investigati…
Mere Contrastive Learning for Cross-Domain Sentiment Analysis
Yun Luo, Fang Guo, Zihan Liu +1
Cross-domain sentiment analysis aims to predict the sentiment of texts in the target domain using the model trained on the source domain to cope with the scarcity of labeled data.…
FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition
Linyi Yang, Lifan Yuan, Leyang Cui +2
Few-shot Named Entity Recognition (NER) is imperative for entity tagging in limited resource domains and thus received proper attention in recent years. Existing approaches for few…
A Survey on Open Information Extraction from Rule-based Model to Large Language Model
Pai Liu, Wenyang Gao, Wenjie Dong +7
Open Information Extraction (OpenIE) represents a crucial NLP task aimed at deriving structured information from unstructured text, unrestricted by relation type or domain. This su…
Challenges for Open-domain Targeted Sentiment Analysis
Yun Luo, Hongjie Cai, Linyi Yang +3
Since previous studies on open-domain targeted sentiment analysis are limited in dataset domain variety and sentence level, we propose a novel dataset consisting of 6,013 human-lab…