Papers
Retrieval augmented text-to-SQL generation for epidemiological question answering using electronic health records
Angelo Ziletti, Leonardo DAmbrosi
Retrieval Helps or Hurts? A Deeper Dive into the Efficacy of Retrieval Augmentation to Language Models
Seiji Maekawa, Hayate Iso, Sairam Gurajada et al.
Retrieving Examples from Memory for Retrieval Augmented Neural Machine Translation: A Systematic Comparison
Maxime Bouthors, Josep Crego, François Yvon
Returning to the Start: Generating Narratives with Related Endpoints
Anneliese Brei, Chao Zhao, Snigdha Chaturvedi
RETUYT-INCO at MLSP 2024: Experiments on Language Simplification using Embeddings, Classifiers and Large Language Models
Ignacio Sastre, Leandro Alfonso, Facundo Fleitas et al.
Reverse Chain: A Generic-Rule for LLMs to Master Multi-API Planning
Yinger Zhang, Hui Cai, Xierui Song et al.
Revisiting Clinical Outcome Prediction for MIMIC-IV
Tom Röhr, Alexei Figueroa, Jens-Michalis Papaioannou et al.
Revisiting subword tokenization: A case study on affixal negation in large language models
Thinh Hung Truong, Yulia Otmakhova, Karin Verspoor et al.
Revisiting Zero-Shot Abstractive Summarization in the Era of Large Language Models from the Perspective of Position Bias
Anshuman Chhabra, Hadi Askari, Prasant Mohapatra
REXEL: An End-to-end Model for Document-Level Relation Extraction and Entity Linking
Nacime Bouziani, Shubhi Tyagi, Joseph Fisher et al.
RFBES at SemEval-2024 Task 8: Investigating Syntactic and Semantic Features for Distinguishing AI-Generated and Human-Written Texts
Mohammad Heydari Rad, Farhan Farsi, Shayan Bali et al.
Robust Safety Classifier Against Jailbreaking Attacks: Adversarial Prompt Shield
Jinhwa Kim, Ali Derakhshan, Ian Harris
RobustSentEmbed: Robust Sentence Embeddings Using Adversarial Self-Supervised Contrastive Learning
Javad Rafiei Asl, Prajwal Panzade, Eduardo Blanco et al.
RoDia: A New Dataset for Romanian Dialect Identification from Speech
Codruț Rotaru, Nicolae Cӑtӑlin Ristea, Radu Tudor Ionescu
Role Prompting Guided Domain Adaptation with General Capability Preserve for Large Language Models
Rui Wang, Fei Mi, Yi Chen et al.
ROSHA at SemEval-2024 Task 9: BRAINTEASER A Novel Task Defying Common Sense
Mohammadmostafa Rostamkhani, Shayan Mousavinia, Sauleh Eetemadi
ROUGE-K: Do Your Summaries Have Keywords?
Sotaro Takeshita, Simone Ponzetto, Kai Eckert
Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models
Keming Lu, Hongyi Yuan, Runji Lin et al.
RS-DPO: A Hybrid Rejection Sampling and Direct Preference Optimization Method for Alignment of Large Language Models
Saeed Khaki, JinJin Li, Lan Ma et al.
R-Spin: Efficient Speaker and Noise-invariant Representation Learning with Acoustic Pieces
Heng-Jui Chang, James Glass
RST-LoRA: A Discourse-Aware Low-Rank Adaptation for Long Document Abstractive Summarization
Dongqi Liu, Vera Demberg
RTSUM: Relation Triple-based Interpretable Summarization with Multi-level Salience Visualization
Seonglae Cho, Myungha Jang, Jinyoung Yeo et al.