Papers
QDTSynth: Quality-Driven Formal Theorem Synthesis for Enhancing Proving Performance of LLMs
Lei Wang, Ruobing Zuo, Gaolei He et al.
QG-SMS: Enhancing Test Item Analysis via Student Modeling and Simulation
Bang Nguyen, Tingting Du, Mengxia Yu et al.
QGuard:Question-based Zero-shot Guard for Multi-modal LLM Safety
Taegyeong Lee, Jeonghwa Yoo, Hyoungseo Cho et al.
QiMeng-Attention: SOTA Attention Operator is generated by SOTA Attention Algorithm
Qirui Zhou, Shaohui Peng, Weiqiang Xiong et al.
QiMP at SemEval-2025 Task 11: Optimizing Text-based Emotion Classification in English Beyond Traditional Methods
Mariia Bogatyreva, Pascal Gaertner, Quim Ribas et al.
QleverAnswering-PUCRS at SemEval-2025 Task 8: Exploring LLM agents, code generation and correction for Table Question Answering
André Bergmann Lisboa, Lucas Cardoso Azevedo, Lucas Rafael Costella Pessutto
QM-AI at SemEval-2025 Task 6: an Ensemble of BERT Models for Promise Identification in ESG Context
Zihang Sun, Filip Sobczak
Q-Mamba: Towards more efficient Mamba models via post-training quantization
Chen Tianqi, Yuanteng Chen, Peisong Wang et al.
QMUL at SemEval-2025 Task 11: Explicit Emotion Detection with EmoLex, Feature Engineering, and Threshold-Optimized Multi-Label Classification
Angeline Wang, Aditya Gupta, Iran Roman et al.
QoLAS: A Reddit Corpus of Health-Related Quality of Life Aspects of Mental Disorders
Lynn Greschner, Amelie Wührl, Roman Klinger
Qorǵau: Evaluating Safety in Kazakh-Russian Bilingual Contexts
Maiya Goloburda, Nurkhan Laiyk, Diana Turmakhan et al.
QQSUM: A Novel Task and Model of Quantitative Query-Focused Summarization for Review-based Product Question Answering
An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh et al.
Q-STRUM Debate: Query-Driven Contrastive Summarization for Recommendation Comparison
George-Kirollos Saad, Scott Sanner
QualiSpeech: A Speech Quality Assessment Dataset with Natural Language Reasoning and Descriptions
Siyin Wang, Wenyi Yu, Xianzhao Chen et al.
Quality-Aware Decoding: Unifying Quality Estimation and Decoding
Sai Koneru, Matthias Huck, Miriam Exel et al.
Quantification of Large Language Model Distillation
Sunbowen Lee, Junting Zhou, Chang Ao et al.
Quantifying Lexical Semantic Shift via Unbalanced Optimal Transport
Ryo Kishino, Hiroaki Yamagiwa, Ryo Nagata et al.
Quantifying Memorization and Parametric Response Rates in Retrieval-Augmented Vision-Language Models
Peter Carragher, Abhinand Jha, Raghav R et al.
Quantifying Memorization in Continual Pre-training with Japanese General or Industry-Specific Corpora
Hiromu Takahashi, Shotaro Ishihara
Quantifying Misattribution Unfairness in Authorship Attribution
Pegah Alipoormolabashi, Ajay Patel, Niranjan Balasubramanian
Quantifying Semantic Emergence in Language Models
Hang Chen, Xinyu Yang, Jiaying Zhu et al.
Quantifying the Influence of Irrelevant Contexts on Political Opinions Produced by LLMs
Samuele D’Avenia, Valerio Basile
Quantile Regression with Large Language Models for Price Prediction
Nikhita Vedula, Dushyanta Dhyani, Laleh Jalali et al.
Quantized Can Still Be Calibrated: A Unified Framework to Calibration in Quantized Large Language Models
Mingyu Zhong, Guanchu Wang, Yu-Neng Chuang et al.