Papers
QDyLoRA: Quantized Dynamic Low-Rank Adaptation for Efficient Large Language Model Tuning
Hossein Rajabzadeh, Mojtaba Valipour, Tianshu Zhu et al.
QEFT: Quantization for Efficient Fine-Tuning of LLMs
Changhun Lee, Jun-gyu Jin, YoungHyun Cho et al.
QGEval: Benchmarking Multi-dimensional Evaluation for Question Generation
Weiping Fu, Bifan Wei, Jianxiang Hu et al.
QPaug: Question and Passage Augmentation for Open-Domain Question Answering of LLMs
Minsang Kim, Cheoneum Park, Seung Jun Baek
QRMeM: Unleash the Length Limitation through Question then Reflection Memory Mechanism
Bo Wang, Heyan Huang, Yixin Cao et al.
Quality Matters: Evaluating Synthetic Data for Tool-Using LLMs
Shadi Iskander, Sofia Tolmach, Ori Shapira et al.
Quality or Quantity? On Data Scale and Diversity in Adapting Large Language Models for Low-Resource Translation
Vivek Iyer, Bhavitvya Malik, Pavel Stepachev et al.
Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective
Meiqi Chen, Yixin Cao, Yan Zhang et al.
Quantifying Generative Media Bias with a Corpus of Real-world and Generated News Articles
Filip Trhlík, Pontus Stenetorp
Quantifying the Gaps Between Translation and Native Perception in Training for Multimodal, Multilingual Retrieval
Kyle Buettner, Adriana Kovashka
Quantum Recurrent Architectures for Text Classification
Wenduan Xu, Stephen Clark, Douglas Brown et al.
QuBE: Question-based Belief Enhancement for Agentic LLM Reasoning
Minsoo Kim, Jongyoon Kim, Jihyuk Kim et al.
QUDSELECT: Selective Decoding for Questions Under Discussion Parsing
Ashima Suvarna, Xiao Liu, Tanmay Parekh et al.
Quebec Automobile Insurance Question-Answering With Retrieval-Augmented Generation
David Beauchemin, Richard Khoury, Zachary Gagnon
Query-based Cross-Modal Projector Bolstering Mamba Multimodal LLM
SooHwan Eom, Jay Shim, Gwanhyeong Koo et al.
Query-OPT: Optimizing Inference of Large Language Models via Multi-Query Instructions in Meeting Summarization
Md Tahmid Rahman Laskar, Elena Khasanova, Xue-Yong Fu et al.
Query Routing for Homogeneous Tools: An Instantiation in the RAG Scenario
Feiteng Mu, Yong Jiang, Liwen Zhang et al.
QUEST: Efficient Extreme Multi-Label Text Classification with Large Language Models on Commodity Hardware
Chuang Zhou, Junnan Dong, Xiao Huang et al.
Question-Based Retrieval using Atomic Units for Enterprise RAG
Vatsal Raina, Mark Gales
Question-guided Knowledge Graph Re-scoring and Injection for Knowledge Graph Question Answering
Yu Zhang, Kehai Chen, Xuefeng Bai et al.
QUIK: Towards End-to-end 4-Bit Inference on Generative Large Language Models
Saleh Ashkboos, Ilia Markov, Elias Frantar et al.
‘Quis custodiet ipsos custodes?’ Who will watch the watchmen? On Detecting AI-generated peer-reviews
Sandeep Kumar, Mohit Sahu, Vardhan Gacche et al.
QUIS: Question-guided Insights Generation for Automated Exploratory Data Analysis
Abhijit Manatkar, Ashlesha Akella, Parthivi Gupta et al.
QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios
Timo Pierre Schrader, Lukas Lange, Simon Razniewski et al.
R2AG: Incorporating Retrieval Information into Retrieval Augmented Generation
Fuda Ye, Shuangyin Li, Yongqi Zhang et al.