Papers
5,479 papers found
Comparing LLM prompting with Cross-lingual transfer performance on Indigenous and Low-resource Brazilian Languages
David Ifeoluwa Adelani, A. Seza Doğruöz, André Coneglian et al.
Applying Linguistic Expertise to LLMs for Educational Material Development in Indigenous Languages
Justin Vasselli, Arturo Martínez Peguero, Junehwan Sung et al.
Exploring Very Low-Resource Translation with LLMs: The University of Edinburgh’s Submission to AmericasNLP 2024 Translation Task
Vivek Iyer, Bhavitvya Malik, Wenhao Zhu et al.
How Good are Modern LLMs in Generating Relevant and High-Quality Questions at Different Bloom’s Skill Levels for Indian High School Social Science Curriculum?
Nicy Scaria, Suma Dharani Chenna, Deepak Subramani
Evaluating Vocabulary Usage in LLMs
Matthew Durward, Christopher Thomson
Exploring LLM Prompting Strategies for Joint Essay Scoring and Feedback Generation
Maja Stahl, Leon Biermann, Andreas Nehring et al.
LLMs in Short Answer Scoring: Limitations and Promise of Zero-Shot and Few-Shot Approaches
Imran Chamieh, Torsten Zesch, Klaus Giebermann
Anna Karenina Strikes Again: Pre-Trained LLM Embeddings May Favor High-Performing Learners
Abigail Gurin Schleifer, Beata Beigman Klebanov, Moriah Ariely et al.
UnibucLLM: Harnessing LLMs for Automated Prediction of Item Difficulty and Response Time for Multiple-Choice Questions
Ana-Cristina Rogoz, Radu Tudor Ionescu
UPN-ICC at BEA 2024 Shared Task: Leveraging LLMs for Multiple-Choice Questions Difficulty Prediction
George Duenas, Sergio Jimenez, Geral Mateus Ferro
Can LLMs Correct Physicians, Yet? Investigating Effective Interaction Methods in the Medical Domain
Burcu Sayin, Pasquale Minervini, Jacopo Staiano et al.
ERD: A Framework for Improving LLM Reasoning for Cognitive Distortion Classification
Sehee Lim, Yejin Kim, Chi-Hyun Choi et al.
PromptMind Team at EHRSQL-2024: Improving Reliability of SQL Generation using Ensemble LLMs
Satya Gundabathula, Sriram Kolar
PromptMind Team at MEDIQA-CORR 2024: Improving Clinical Text Correction with Error Categorization and LLM Ensembles
Satya Gundabathula, Sriram Kolar
Maven at MEDIQA-CORR 2024: Leveraging RAG and Medical LLM for Error Detection and Correction in Medical Notes
Suramya Jadhav, Abhay Shanbhag, Sumedh Joshi et al.
Lexicans at Chemotimelines 2024: Chemotimeline Chronicles - Leveraging Large Language Models (LLMs) for Temporal Relations Extraction in Oncological Electronic Health Records
Vishakha Sharma, Andres Fernandez, Andrei Ioanovici et al.
Team NLPeers at Chemotimelines 2024: Evaluation of two timeline extraction methods, can generative LLM do it all or is smaller model fine-tuning still relevant ?
Nesrine Bannour, Judith Jeyafreeda Andrew, Marc Vincent
IKIM at MEDIQA-M3G 2024: Multilingual Visual Question-Answering for Dermatology through VLM Fine-tuning and LLM Translations
Marie Bauer, Constantin Seibold, Jens Kleesiek et al.
Saama Technologies at EHRSQL 2024: SQL Generation through Classification Answer Selector by LLM
Mohammed Jabir, Kamal Kanakarajan, Malaikannan Sankarasubbu
Towards Optimizing and Evaluating a Retrieval Augmented QA Chatbot using LLMs with Human-in-the-Loop
Anum Afzal, Alexander Kowsik, Rajna Fani et al.
Mini-DA: Improving Your Model Performance through Minimal Data Augmentation using LLM
Shuangtao Yang, Xiaoyi Liu, Xiaozheng Dong et al.
This Reference Does Not Exist: An Exploration of LLM Citation Accuracy and Relevance
Courtni Byun, Piper Vasicek, Kevin Seppi
LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools and Self-Explanations
Qianli Wang, Tatiana Anikina, Nils Feldhus et al.
Harnessing the Power of Multiple Minds: Lessons Learned from LLM Routing
Kv Aditya Srivatsa, Kaushal Maurya, Ekaterina Kochmar
The Paradox of Preference: A Study on LLM Alignment Algorithms and Data Acquisition Methods
Rishikesh Devanathan, Varun Nathan, Ayush Kumar