Papers
GPT-4 as a Homework Tutor Can Improve Student Engagement and Learning Outcomes
Alessandro Vanzo, Sankalan Pal Chowdhury, Mrinmaya Sachan
GQC: LLM-Based Grouped QA Consolidation for Open-Domain Fact Verification at AVeriTeC
Dongzhuoran Zhou, Roxana Pop, Yuqicheng Zhu et al.
GRACE: A Granular Benchmark for Evaluating Model Calibration against Human Calibration
Yoo Yeon Sung, Eve Fleisig, Yu Hou et al.
Gradient-Adaptive Policy Optimization: Towards Multi-Objective Alignment of Large Language Models
Chengao Li, Hanyu Zhang, Yunkun Xu et al.
Gradient Flush at Slavic NLP 2025 Task: Leveraging Slavic BERT and Translation for Persuasion Techniques Classification
Sergey Senichev, Aleksandr Boriskin, Nikita Krayko et al.
GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models
Kai Yao, Zhaorui Tan, Penglei Gao et al.
GRAF: Graph Retrieval Augmented by Facts for Romanian Legal Multi-Choice Question Answering
Cristian-George Craciun, Răzvan-Alexandru Smădu, Dumitru-Clementin Cercel et al.
GRAM: Generative Recommendation via Semantic-aware Multi-granular Late Fusion
Sunkyung Lee, Minjin Choi, Eunseong Choi et al.
GrammaMT: Improving Machine Translation with Grammar-Informed In-Context Learning
Rita Ramos, Everlyn Asiko Chimoto, Maartje Ter Hoeve et al.
Grammar-Based Code Representation: Is It a Worthy Pursuit for LLMs?
Qingyuan Liang, Zhao Zhang, Zeyu Sun et al.
Grammar-Constrained Decoding Makes Large Language Models Better Logical Parsers
Federico Raspanti, Tanir Ozcelebi, Mike Holenderski
GRAMMAR-LLM: Grammar-Constrained Natural Language Generation
Gabriele Tuccio, Luana Bulla, Maria Madonia et al.
Grammatical Error Correction via Sequence Tagging for Russian
Regina Nasyrova, Alexey Sorokin
GRaMPa: Subword Regularisation by Skewing Uniform Segmentation Distributions with an Efficient Path-counting Markov Model
Thomas Bauwens, David Kaczér, Miryam de Lhoneux
Graph-Assisted Culturally Adaptable Idiomatic Translation for Indic languages
Pratik Rakesh Singh, Kritarth Prasad, Mohammadi Zaki et al.
GraphCheck: Breaking Long-Term Text Barriers with Extracted Knowledge Graph-Powered Fact-Checking
Yingjian Chen, Haoran Liu, Yinhong Liu et al.
Graph Counselor: Adaptive Graph Exploration via Multi-Agent Synergy to Enhance LLM Reasoning
Junqi Gao, Xiang Zou, Ying Ai et al.
Graph-guided Cross-composition Feature Disentanglement for Compositional Zero-shot Learning
Yuxia Geng, Runkai Zhu, Jiaoyan Chen et al.
Graphically Speaking: Unmasking Abuse in Social Media with Conversation Insights
Célia Nouri, Jean-Philippe Cointet, Chloé Clavel
GraphInsight: Unlocking Insights in Large Language Models for Graph Structure Understanding
Yukun Cao, Shuo Han, Zengyi Gao et al.
Graph-Linguistic Fusion: Using Language Models for Wikidata Vandalism Detection
Mykola Trokhymovych, Lydia Pintscher, Ricardo Baeza-Yates et al.
GraphNarrator: Generating Textual Explanations for Graph Neural Networks
Bo Pan, Zhen Xiong, Guanchen Wu et al.
Graph of Attacks with Pruning: Optimizing Stealthy Jailbreak Prompt. Generation for Enhanced LLM Content Moderation
Daniel Schwarz, Dmitriy Bespalov, Zhe Wang et al.
Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with Graphs
Haozhen Zhang, Tao Feng, Jiaxuan You
Graph-of-Thoughts for Fact-Checking with Large Language Models
Sascha Rolinger, Jin Liu