Papers
Optimising LLM-Driven Machine Translation with Context-Aware Sliding Windows
Xinye Yang, Yida Mu, Kalina Bontcheva et al.
Optimized Speculative Sampling for GPU Hardware Accelerators
Dominik Wagner, Seanie Lee, Ilja Baumann et al.
Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs
Wenhua Cheng, Weiwei Zhang, Haihao Shen et al.
Optimizing Chinese Lexical Simplification Across Word Types: A Hybrid Approach
ZiHao Xiao, Jiefu Gong, Shijin Wang et al.
Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models
Rui Li, Qi Liu, Liyang He et al.
Optimizing Entity Resolution in Voice Interfaces: An ASR-Aware Entity Reference Expansion Approach
Jiangning Chen, Ziyun Zhang, Qianli Hu
Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs
Krista Opsahl-Ong, Michael J Ryan, Josh Purtell et al.
Optimizing Instruction Synthesis: Effective Exploration of Evolutionary Space with Tree Search
Chenglin Li, Qianglong Chen, Zhi Li et al.
Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning
Jiahui Li, Hanlin Zhang, Fengda Zhang et al.
Optimizing Rare Word Accuracy in Direct Speech Translation with a Retrieval-and-Demonstration Approach
Siqi Li, Danni Liu, Jan Niehues
Order of Magnitude Speedups for LLM Membership Inference
Rongting Zhang, Martin Andres Bertran, Aaron Roth
Order Up! Micromanaging Inconsistencies in ChatGPT-4o Text Analyses
Erkki Mervaala, Ilona Kousa
ORPO: Monolithic Preference Optimization without Reference Model
Jiwoo Hong, Noah Lee, James Thorne
OtoBERT: Identifying Suffixed Verbal Forms in Modern Hebrew Literature
Avi Shmidman, Shaltiel Shmidman
Ouroboros: Generating Longer Drafts Phrase by Phrase for Faster Speculative Decoding
Weilin Zhao, Yuxiang Huang, Xu Han et al.
Outcome-Constrained Large Language Models for Countering Hate Speech
Lingzi Hong, Pengcheng Luo, Eduardo Blanco et al.
Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression
Aryan Gulati, Xingjian Dong, Carlos Hurtado et al.
Overcome Noise and Bias: Segmentation-Aided Multi-Granularity Denoising and Debiasing for Enhanced Quarduples Extraction in Dialogue
Xianlong Luo, Meng Yang, Yihao Wang
PaCoST: Paired Confidence Significance Testing for Benchmark Contamination Detection in Large Language Models
Huixuan Zhang, Yun Lin, Xiaojun Wan
PairDistill: Pairwise Relevance Distillation for Dense Retrieval
Chao-Wei Huang, Yun-Nung Chen
PALM: Few-Shot Prompt Learning for Audio Language Models
Asif Hanif, Maha Tufail Agro, Mohammad Areeb Qazi et al.
PANDA: Persona Attributes Navigation for Detecting and Alleviating Overuse Problem in Large Language Models
Jinsung Kim, Seonmin Koo, Heuiseok Lim
Parameter-efficient Adaptation of Multilingual Multimodal Models for Low-resource ASR
Abhishek Gupta, Amruta Parulekar, Sameep Chattopadhyay et al.
Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks
Haoyuan Wu, Haisheng Zheng, Zhuolun He et al.
PARA: Parameter-Efficient Fine-tuning with Prompt-Aware Representation Adjustment
Zequan Liu, Yi Zhao, Ming Tan et al.