Papers
QUB-Cirdan at “Discharge Me!”: Zero shot discharge letter generation by open-source LLM
Rui Guo, Greg Farnan, Niall McLaughlin et al.
QueryAgent: A Reliable and Efficient Reasoning Framework with Environmental Feedback based Self-Correction
Xiang Huang, Sitao Cheng, Shanshan Huang et al.
QUESPA Submission for the IWSLT 2024 Dialectal and Low-resource Speech Translation Task
John E. Ortega, Rodolfo Joel Zevallos, Ibrahim Said Ahmad et al.
Question-Analysis Prompting Improves LLM Performance in Reasoning Tasks
Dharunish Yugeswardeenoo, Kevin Zhu, Sean O’Brien
Question-Instructed Visual Descriptions for Zero-Shot Video Answering
David Mogrovejo, Thamar Solorio
Question Translation Training for Better Multilingual Reasoning
Wenhao Zhu, Shujian Huang, Fei Yuan et al.
Raccoon: Prompt Extraction Benchmark of LLM-Integrated Applications
Junlin Wang, Tianyi Yang, Roy Xie et al.
RaDA: Retrieval-augmented Web Agent Planning with LLMs
Minsoo Kim, Victor Bursztyn, Eunyee Koh et al.
RadGraph-XL: A Large-Scale Expert-Annotated Dataset for Entity and Relation Extraction from Radiology Reports
Jean-Benoit Delbrouck, Pierre Chambon, Zhihong Chen et al.
RAG-RLRC-LaySum at BioLaySumm: Integrating Retrieval-Augmented Generation and Readability Control for Layman Summarization of Biomedical Texts
Yuelyu Ji, Zhuochun Li, Rui Meng et al.
RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models
Cheng Niu, Yuanhao Wu, Juno Zhu et al.
RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors
Liam Dugan, Alyssa Hwang, Filip Trhlík et al.
RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-Feedback
Yanming Liu, Xinyue Peng, Xuhong Zhang et al.
RA-LoRA: Rank-Adaptive Parameter-Efficient Fine-Tuning for Accurate 2-bit Quantized Large Language Models
Minsoo Kim, Sihwa Lee, Wonyong Sung et al.
RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records
Ran Xu, Wenqi Shi, Yue Yu et al.
Ranking Entities along Conceptual Space Dimensions with LLMs: An Analysis of Fine-Tuning Strategies
Nitesh Kumar, Usashi Chatterjee, Steven Schockaert
Ranking Large Language Models without Ground Truth
Amit Dhurandhar, Rahul Nair, Moninder Singh et al.
RankMean: Module-Level Importance Score for Merging Fine-tuned LLM Models
Gabriel Perin, Xuxi Chen, Shusen Liu et al.
RAP: Efficient Text-Video Retrieval with Sparse-and-Correlated Adapter
Meng Cao, Haoran Tang, Jinfa Huang et al.
Rasid at StanceEval: Fine-tuning MARBERT for Arabic Stance Detection
Nouf AlShenaifi, Nourah Alangari, Hadeel Al-Negheimish
Rationales for Answers to Simple Math Word Problems Confuse Large Language Models
Yidan Zhang, Mingfeng Xue, Dayiheng Liu et al.
RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations
Jing Huang, Zhengxuan Wu, Christopher Potts et al.
RDRec: Rationale Distillation for LLM-based Recommendation
Xinfeng Wang, Jin Cui, Yoshimi Suzuki et al.
Re3: A Holistic Framework and Dataset for Modeling Collaborative Document Revision
Qian Ruan, Ilia Kuznetsov, Iryna Gurevych
ReactXT: Understanding Molecular “Reaction-ship” via Reaction-Contextualized Molecule-Text Pretraining
Zhiyuan Liu, Yaorui Shi, An Zhang et al.