18 papers · 1 filter
Scaling Performance and Low-Resource Annotation with Many-Shot In-Context Learning for Named Entity Recognition
Qi Zhang, Fangping Lan, Cornelia Caragea +2
In-context learning (ICL) with large language models (LLMs) has emerged as a powerful alternative to fine-tuning for Named Entity Recognition (NER), achieving strong performance wi…
BLooP: Zero-Shot Abstractive Summarization using Large Language Models with Bigram Lookahead Promotion
Varun Iyer, Cornelia Caragea
Abstractive summarization requires models to generate summaries that convey information in the source document. While large language models can generate summaries without fine-tuni…
MADIAVE: Multi-Agent Debate for Implicit Attribute Value Extraction
Wei-Chieh Huang, Cornelia Caragea
Implicit Attribute Value Extraction (AVE) is essential for accurately representing products in e-commerce, as it infers latent attributes from multimodal data. Despite advances in…
MultiMatch: Multihead Consistency Regularization Matching for Semi-Supervised Text Classification
Iustin Sirbu, Robert-Adrian Popovici, Cornelia Caragea +2
We introduce MultiMatch, a novel semi-supervised learning (SSL) algorithm combining the paradigms of co-training and consistency regularization with pseudo-labeling. At its core, M…
Evaluating Large Language Models for Stance Detection on Financial Targets from SEC Filing Reports and Earnings Call Transcripts
Nikesh Gyawali, Doina Caragea, Alex Vasenkov +1
Financial narratives from U.S. Securities and Exchange Commission (SEC) filing reports and quarterly earnings call transcripts (ECTs) are very important for investors, auditors, an…
Let's Use ChatGPT To Write Our Paper! Benchmarking LLMs To Write the Introduction of a Research Paper
Krishna Garg, Firoz Shaik, Sambaran Bandyopadhyay +1
As researchers increasingly adopt LLMs as writing assistants, generating high-quality research paper introductions remains both challenging and essential. We introduce Scientific I…