Papers
QSpell 250K: A Large-Scale, Practical Dataset for Chinese Search Query Spell Correction
Dezhi Ye, Haomei Jia, Junwei Hu et al.
QuaLLM: An LLM-based Framework to Extract Quantitative Insights from Online Forums
Varun Nagaraj Rao, Eesha Agarwal, Samantha Dalal et al.
Quantifying Semantic Functional Specialization in the Brain Using Encoding Models of Natural Language
Jiaqi Chen, Richard Antonello, Kaavya Chaparala et al.
Query-focused Referentiability Learning for Zero-shot Retrieval
Jaeyoung Kim, Dohyeon Lee, Seung-won Hwang
QueryShield: A Platform to Mitigate Enterprise Data Leakage in Queries to External LLMs
Nitin Ramrakhiyani, Delton Myalil, Sachin Pawar et al.
Query Variant Detection Using Retriever as Environment
Minji Seo, Youngwon Lee, Seung-won Hwang et al.
Racing Thoughts: Explaining Contextualization Errors in Large Language Models
Michael A. Lepori, Michael Curtis Mozer, Asma Ghandeharioun
RAD-Bench: Evaluating Large Language Models’ Capabilities in Retrieval Augmented Dialogues
Tzu-Lin Kuo, FengTing Liao, Mu-Wei Hsieh et al.
RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models
Bang An, Shiyue Zhang, Mark Dredze
RAG-Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and Refinement
Jinhao Jiang, Jiayi Chen, Junyi Li et al.
Rainbow-Teaming for the Polish Language: A Reproducibility Study
Aleksandra Krasnodębska, Maciej Chrabaszcz, Wojciech Kusa
RAMQA: A Unified Framework for Retrieval-Augmented Multi-Modal Question Answering
Yang Bai, Christan Grant, Daisy Zhe Wang
RankAdaptor: Hierarchical Rank Allocation for Efficient Fine-Tuning Pruned LLMs via Performance Model
Changhai Zhou, Shijie Han, Lining Yang et al.
RAP: A Metric for Balancing Repetition and Performance in Open-Source Large Language Models
Donghao Huang, Thanh-Son Nguyen, Fiona Liausvia et al.
RATHAN@DravidianLangTech 2025: Annaparavai - Separate the Authentic Human Reviews from AI-generated one
Jubeerathan Thevakumar, Luheerathan Thevakumar
Rationale Behind Essay Scores: Enhancing S-LLM’s Multi-Trait Essay Scoring with Rationale Generated by LLMs
SeongYeub Chu, Jong Woo Kim, Bryan Wong et al.
Rationale-Guided Retrieval Augmented Generation for Medical Question Answering
Jiwoong Sohn, Yein Park, Chanwoong Yoon et al.
RATSD: Retrieval Augmented Truthfulness Stance Detection from Social Media Posts Toward Factual Claims
Zhengyuan Zhu, Zeyu Zhang, Haiqi Zhang et al.
ReachAgent: Enhancing Mobile Agent via Page Reaching and Operation
Qinzhuo Wu, Wei Liu, Jian Luan et al.
ReadCtrl: Personalizing text generation with readability-controlled instruction learning
Hieu Tran, Zonghai Yao, Lingxi Li et al.
Reading between the Lines: Can LLMs Identify Cross-Cultural Communication Gaps?
Sougata Saha, Saurabh Kumar Pandey, Harshit Gupta et al.
Reasoning Aware Self-Consistency: Leveraging Reasoning Paths for Efficient LLM Sampling
Guangya Wan, Yuqi Wu, Jie Chen et al.
ReasoningRec: Bridging Personalized Recommendations and Human-Interpretable Explanations through LLM Reasoning
Millennium Bismay, Xiangjue Dong, James Caverlee
Reassessing Graph Linearization for Sequence-to-sequence AMR Parsing: On the Advantages and Limitations of Triple-Based
Jeongwoo Kang, Maximin Coavoux, Didier Schwab et al.