Papers
A Critical Study of What Code-LLMs (Do Not) Learn
Abhinav Anand, Shweta Verma, Krishna Narasimhan et al.
Defending LLMs against Jailbreaking Attacks via Backtranslation
Yihan Wang, Zhouxing Shi, Andrew Bai et al.
Ask LLMs Directly, “What shapes your bias?”: Measuring Social Bias in Large Language Models
Jisu Shin, Hoyun Song, Huije Lee et al.
Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning
Ming Li, Lichang Chen, Jiuhai Chen et al.
Selective Prompting Tuning for Personalized Conversations with LLMs
Qiushi Huang, Xubo Liu, Tom Ko et al.
mBLIP: Efficient Bootstrapping of Multilingual Vision-LLMs
Gregor Geigle, Abhay Jain, Radu Timofte et al.
Synthetic Arabic Medical Dialogues Using Advanced Multi-Agent LLM Techniques
Mariam ALMutairi, Lulwah AlKulaib, Melike Aktas et al.
John vs. Ahmed: Debate-Induced Bias in Multilingual LLMs
Anastasiia Demidova, Hanin Atwany, Nour Rabih et al.
Qalam: A Multimodal LLM for Arabic Optical Character and Handwriting Recognition
Gagan Bhatia, El Moatez Billah Nagoudi, Fakhraddin Alwajih et al.
AlexUNLP-MZ at ArAIEval Shared Task: Contrastive Learning, LLM Features Extraction and Multi-Objective Optimization for Arabic Multi-Modal Meme Propaganda Detection
Mohamed Zaytoon, Nagwa El-Makky, Marwan Torki
Arabic Train at NADI 2024 shared task: LLMs’ Ability to Translate Arabic Dialects into Modern Standard Arabic
Anastasiia Demidova, Hanin Atwany, Nour Rabih et al.
SMASH at StanceEval 2024: Prompt Engineering LLMs for Arabic Stance Detection
Youssef Al Hariri, Ibrahim Abu Farha
DRU at WojoodNER 2024: ICL LLM for Arabic NER
Nancy Hamdan, Hadi Hamoud, Chadi Abou Chakra et al.
Turiya at DialAM-2024: Inference Anchoring Theory Based LLM Parsers
Sougata Saha, Rohini Srihari
Sövereign at The Perspective Argument Retrieval Shared Task 2024: Using LLMs with Argument Mining
Robert Günzler, Özge Sevgili, Steffen Remus et al.
Open (Clinical) LLMs are Sensitive to Instruction Phrasings
Alberto Mario Ceballos-Arroyo, Monica Munnangi, Jiuding Sun et al.
Can Rule-Based Insights Enhance LLMs for Radiology Report Classification? Introducing the RadPrompt Methodology.
Panagiotis Fytas, Anna Breger, Ian Selby et al.
Get the Best out of 1B LLMs: Insights from Information Extraction on Clinical Documents
Saeed Farzi, Soumitra Ghosh, Alberto Lavelli et al.
Generation and De-Identification of Indian Clinical Discharge Summaries using LLMs
Sanjeet Singh, Shreya Gupta, Niralee Gupta et al.
Leveraging LLMs and Web-based Visualizations for Profiling Bacterial Host Organisms and Genetic Toolboxes
Gilchan Park, Vivek Mutalik, Christopher Neely et al.
QUB-Cirdan at “Discharge Me!”: Zero shot discharge letter generation by open-source LLM
Rui Guo, Greg Farnan, Niall McLaughlin et al.
EPFL-MAKE at “Discharge Me!”: An LLM System for Automatically Generating Discharge Summaries of Clinical Electronic Health Record
Haotian Wu, Paul Boulenger, Antonin Faure et al.
Conformity, Confabulation, and Impersonation: Persona Inconstancy in Multi-Agent LLM Collaboration
Razan Baltaji, Babak Hemmatian, Lav Varshney
Using LLMs to Build a Database of Climate Extreme Impacts
Ni Li, Shorouq Zahra, Mariana Brito et al.
Structuring Sustainability Reports for Environmental Standards with LLMs guided by Ontology
Aida Usmanova, Ricardo Usbeck