Papers
3,922 papers found
Representation-Aware Prompting for Zero-Shot Marathi Text Classification: IPA, Romanization, Repetition
Van-Hien Tran, Huy Hien Vu, Hideki Tanaka et al.
Representation Collapse in Machine Translation Through the Lens of Angular Dispersion
Evgeniia Tokarchuk, Maya K. Nachesa, Sergey Troshin et al.
Respecting Temporal-Causal Consistency: Entity-Event Knowledge Graph for Retrieval-Augmented Generation
Ze Yu Zhang, Zitao Li, Yaliang Li et al.
Rethinking Creativity Evaluation: A Critical Analysis of Existing Creativity Evaluations
Li-Chun Lu, Miri Liu, Pin Chun Lu et al.
Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives
Yajiao Liu, Congliang Chen, Junchi Yang et al.
Rethinking Hallucinations: Correctness, Consistency, and Prompt Multiplicity
Prakhar Ganesh, Reza Shokri, Golnoosh Farnadi
Rethinking Metrics for Lexical Semantic Change Detection
Roksana Goworek, Haim Dubossarsky
Rethinking Polarity Detection: When BPE Fails Across Scripts
Manodyna K H, Luc De Nardi
Rethinking Prompt Optimizers: From Prompt Merits to Optimization
Zixiao Zhu, Hanzhang Zhou, Zijian Feng et al.
Rethinking Reading Order: Toward Generalizable Document Understanding with LLM-based Relation Modeling
Weishi Wang, Hengchang Hu, Daniel Dahlmeier
Rethinking Schema Linking: A Context-Aware Bidirectional Retrieval Approach for Text-to-SQL
Md Mahadi Hasan Nahid, Davood Rafiei, Weiwei Zhang et al.
Rethinking the Evaluation of Alignment Methods: Insights into Diversity, Generalisation, and Safety
Denis Janiak, Julia Moska, Dawid Motyka et al.
Retrieval Enhancements for RAG: Insights from a Deployed Customer Support Chatbot
Daniel González Juclà, Mohit Tuteja, Marcos Esteve Casademunt et al.
Revealing Redundant Syntax in Large Language Models through Multi-Hop Dependency Paths
Masaki Sashida, Takeshi Kojima, Yusuke Iwasawa et al.
Revealing the Numeracy Gap: An Empirical Investigation of Text Embedding Models
Ningyuan Deng, Hanyu Duan, Yixuan Tang et al.
Revealing the Truth with ConLLM for Detecting Multi-Modal Deepfakes
Gautam Siddharth Kashyap, Harsh Joshi, Niharika Jain et al.
REVEAL: Retrieval-Enhanced Verification for Multimodal Fact-Checking
Amina Tariq, Yova Kementchedjhieva
Revisiting Generalization Across Difficulty Levels: It’s Not So Easy
Yeganeh Kordi, Nihal V. Nayak, Max Zuo et al.
R-GDA: Reflective Guidance Data Augmentation with Multi-Agent Feedback for Domain-Specific Named Entity Recognition
Hyeonseok Kang, Hyuk Namgoong, Goun Pyeon et al.
RiddleBench: A New Generative Reasoning Benchmark for LLMs
Deepon Halder, Alan Saji, Thanmay Jayakumar et al.
RoD-TAL: A Benchmark for Answering Questions in Romanian Driving License Exams
Andrei Vlad Man, Răzvan-Alexandru Smădu, Cristian-George Craciun et al.
Role-Conditioned Refusals: Evaluating Access Control Reasoning in Large Language Models
Đorđe Klisura, Joseph Khoury, Ashish Kundu et al.
RoSE: Round-robin Synthetic Data Evaluation for Selecting LLM Generators without Human Test Sets
Jan Cegin, Branislav Pecher, Ivan Srba et al.
RotBench: Evaluating Multi-modal Large Language Models on Identifying Image Rotation
Tianyi Niu, Jaemin Cho, Elias Stengel-Eskin et al.
Router-Suggest: Dynamic Routing for Multimodal Auto-Completion in Visually-Grounded Dialogs
Sandeep Mishra, Devichand Budagam, Anubhab Mandal et al.