Papers
Retrieval Models Aren’t Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models
Zhengliang Shi, Yuhan Wang, Lingyong Yan et al.
Retrieve to Explain: Evidence-driven Predictions for Explainable Drug Target Identification
Ravi Patel, Angus Brayne, Rogier Hintzen et al.
Retrieving Argument Graphs Using Vision Transformers
Kilian Bartz, Mirko Lenz, Ralph Bergmann
Retrofitting Large Language Models with Dynamic Tokenization
Darius Feher, Ivan Vulić, Benjamin Minixhofer
RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation
Xiaoxi Li, Jiajie Jin, Yujia Zhou et al.
Retrospective Learning from Interactions
Zizhao Chen, Mustafa Omer Gul, Yiwei Chen et al.
RETUYT-INCO at BEA 2025 Shared Task: How Far Can Lightweight Models Go in AI-powered Tutor Evaluation?
Santiago Góngora, Ignacio Sastre, Santiago Robaina et al.
Revealing and Mitigating the Local Pattern Shortcuts of Mamba
WangJie You, Zecheng Tang, Juntao Li et al.
Revealing Hidden Mechanisms of Cross-Country Content Moderation with Natural Language Processing
Neemesh Yadav, Jiarui Liu, Francesco Ortu et al.
Revealing the Deceptiveness of Knowledge Editing: A Mechanistic Analysis of Superficial Editing
Jiakuan Xie, Pengfei Cao, Yubo Chen et al.
Revealing the Unwritten: Visual Investigation of Beam Search Trees to Address Language Model Prompting Challenges
Thilo Spinner, Rita Sevastjanova, Rebecca Kehlbeck et al.
Reversal of Thought: Enhancing Large Language Models with Preference-Guided Reverse Reasoning Warm-up
Jiahao Yuan, Dehui Du, Hao Zhang et al.
Reverse Preference Optimization for Complex Instruction Following
Xiang Huang, Ting-En Lin, Feiteng Fang et al.
Review-Instruct: A Review-Driven Multi-Turn Conversations Generation Method for Large Language Models
Jiangxu Wu, Cong Wang, TianHuang Su et al.
REVISE: A Framework for Revising OCRed text in Practical Information Systems with Data Contamination Strategy
Gyuho Shim, Seongtae Hong, Heuiseok Lim
Revisiting 3D LLM Benchmarks: Are We Really Testing 3D Capabilities?
Jiahe Jin, Yanheng He, Mingyan Yang
Revisiting Classical Chinese Event Extraction with Ancient Literature Information
Xiaoyi Bao, Zhongqing Wang, Jinghang Gu et al.
Revisiting Common Assumptions about Arabic Dialects in NLP
Amr Keleg, Sharon Goldwater, Walid Magdy
Revisiting Compositional Generalization Capability of Large Language Models Considering Instruction Following Ability
Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe
Revisiting Epistemic Markers in Confidence Estimation: Can Markers Accurately Reflect Large Language Models’ Uncertainty?
Jiayu Liu, Qing Zong, Weiqi Wang et al.
Revisiting In-Context Learning with Long Context Language Models
Jinheon Baek, Sun Jae Lee, Prakhar Gupta et al.
Revisiting LLMs as Zero-Shot Time Series Forecasters: Small Noise Can Break Large Models
Junwoo Park, Hyuck Lee, Dohyun Lee et al.
Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps
Jiashun Cheng, Aochuan Chen, Nuo Chen et al.
Revisiting Scaling Laws for Language Models: The Role of Data Quality and Training Strategies
Zhengyu Chen, Siqi Wang, Teng Xiao et al.