Papers
176,624 papers found
ALiiCE: Evaluating Positional Fine-grained Citation Generation
Yilong Xu, Jinhua Gao, Xiaoming Yu et al.
A Linear N-Point Solver for Structure and Motion from Asynchronous Tracks
Hang Su, Yunlong Feng, Daniel Gehrig et al.
ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Party LLM Data Valuation
Yanzhou Pan, Huawei Lin, Yide Ran et al.
A Linguistically Motivated Analysis of Intonational Phrasing in Text-to-Speech Systems: Revealing Gaps in Syntactic Sensitivity
Charlotte Pouw, Afra Alishahi, Willem Zuidema
A Linguistically Motivated Analysis of Intonational Phrasing in Text-to-Speech Systems: Revealing Gaps in Syntactic Sensitivity
Charlotte Pouw, Afra Alishahi, Willem Zuidema
ALIS: Aligned LLM Instruction Security Strategy for Unsafe Input Prompt
Xinhao Song, Sufeng Duan, Gongshen Liu
A Little Human Data Goes A Long Way
Dhananjay Ashok, Jonathan May
A Little Subsidy Ensures MMS Allocation for Three Agents
Xiaowei Wu, Quan Xue, Shengwei Zhou
ALLabel: Three-stage Active Learning for LLM-based Entity Recognition using Demonstration Retrieval
Zihan Chen, Lei Shi, Weize Wu et al.
All-Day Multi-Camera Multi-Target Tracking
Huijie Fan, Yu Qiao, Yihao Zhen et al.
All-directional Disparity Estimation for Real-world QPD Images
Hongtao Yu, Shaohui Song, Lihu Sun et al.
All Entities are Not Created Equal: Examining the Long Tail for Ultra-Fine Entity Typing
Advait Deshmukh, Ashwin Umadi, Dananjay Srinivas et al.
Alleviate and Mining: Rethinking Unsupervised Domain Adaptation for Mitochondria Segmentation from Pseudo-Label Perspective
Yujia Chen, Rui Sun, Wangkai Li et al.
Alleviating Distribution Shift in Synthetic Data for Machine Translation Quality Estimation
Xiang Geng, Zhejian Lai, Jiajun Chen et al.
Alleviating Dual Biases in Recommendation (Student Abstract)
Sijin Lu, Fangyuan Luo, Jun Wu
Alleviating Hallucinations from Knowledge Misalignment in Large Language Models via Selective Abstention Learning
Lei Huang, Xiaocheng Feng, Weitao Ma et al.
Alleviating Hallucinations in Large Language Models via Truthfulness-driven Rank-adaptive LoRA
Jiahao Li, Zhendong Mao, Quan Wang
Alleviating Hallucinations of Large Language Models through Induced Hallucinations
Yue Zhang, Leyang Cui, Wei Bi et al.
Alleviating Performance Degradation Caused by Out-of-Distribution Issues in Embedding-Based Retrieval
Haotong Bao, Jianjin Zhang, Qi Chen et al.
Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution
Songran Bai, Yuheng Ji, Yue Liu et al.
Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning
Shihan Dou, Yan Liu, Enyu Zhou et al.
Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation
Shuchang Ye, Usman Naseem, Mingyuan Meng et al.
All for One: LLMs Solve Mental Math at the Last Token With Information Transferred From Other Tokens
Siddarth Mamidanna, Daking Rai, Ziyu Yao et al.
AllGCD: Leveraging All Unlabeled Data for Generalized Category Discovery
Xinzi Cao, Ke Chen, Feidiao Yang et al.
Alligators All Around: Mitigating Lexical Confusion in Low-resource Machine Translation
Elizabeth Nielsen, Isaac Rayburn Caswell, Jiaming Luo et al.