Papers
Rationale-Aware Answer Verification by Pairwise Self-Evaluation
Akira Kawabata, Saku Sugawara
Rationalizing Transformer Predictions via End-To-End Differentiable Self-Training
Marc Brinner, Sina Zarrieß
Read Anywhere Pointed: Layout-aware GUI Screen Reading with Tree-of-Lens Grounding
Yue Fan, Lei Ding, Ching-Chen Kuo et al.
ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment
Tarek Naous, Michael J Ryan, Anton Lavrouk et al.
README: Bridging Medical Jargon and Lay Understanding for Patient Education through Data-Centric NLP
Zonghai Yao, Nandyala Siddharth Kantu, Guanghao Wei et al.
RealVul: Can We Detect Vulnerabilities in Web Applications with LLM?
Di Cao, Yong Liao, Xiuwei Shang
Reap the Wild Wind: Detecting Media Storms in Large-Scale News Corpora
Dror Kris Markus, Effi Levi, Tamir Sheafer et al.
REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering
Yuhao Wang, Ruiyang Ren, Junyi Li et al.
Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies
Junlin Wang, Siddhartha Jain, Dejiao Zhang et al.
Reasoning or a Semblance of it? A Diagnostic Study of Transitive Reasoning in LLMs
Houman Mehrafarin, Arash Eshghi, Ioannis Konstas
Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths
Yew Ken Chia, Guizhen Chen, Weiwen Xu et al.
Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models
Yuan-Hong Liao, Rafid Mahmood, Sanja Fidler et al.
Reasoning with Natural Language Explanations
Marco Valentino, André Freitas
Rebuilding ROME : Resolving Model Collapse during Sequential Model Editing
Akshat Gupta, Sidharth Baskaran, Gopala Anumanchipalli
ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods
Roy Xie, Junlin Wang, Ruomin Huang et al.
RECANTFormer: Referring Expression Comprehension with Varying Numbers of Targets
Bhathiya Hemanthage, Hakan Bilen, Phil Bartie et al.
Recent Advances in Online Hate Speech Moderation: Multimodality and the Role of Large Models
Ming Shan Hee, Shivam Sharma, Rui Cao et al.
Recent Trends in Linear Text Segmentation: A Survey
Iacopo Ghinassi, Lin Wang, Chris Newell et al.
Recipe for Zero-shot POS Tagging: Is It Useful in Realistic Scenarios?
Zeno Vandenbulcke, Lukas Vermeire, Miryam de Lhoneux
RecomMind: Movie Recommendation Dialogue with Seeker’s Internal State
Takashi Kodama, Hirokazu Kiyomaru, Yin Jou Huang et al.
Reconfidencing LLMs from the Grouping Loss Perspective
Lihu Chen, Alexandre Perez-Lebel, Fabian M. Suchanek et al.
Reconsidering Sentence-Level Sign Language Translation
Garrett Tanzer, Maximus Shengelia, Ken Harrenstien et al.
Reconstruct Your Previous Conversations! Comprehensively Investigating Privacy Leakage Risks in Conversations with GPT Models
Junjie Chu, Zeyang Sha, Michael Backes et al.
Recurrent Alignment with Hard Attention for Hierarchical Text Rating
Chenxi Lin, Ren Jiayu, Guoxiu He et al.
Recurrent Neural Networks Learn to Store and Generate Sequences using Non-Linear Representations
Róbert Csordás, Christopher Potts, Christopher D Manning et al.