Papers
176,624 papers found
Awes, Laws, and Flaws From Today’s LLM Research
Adrian de Wynter
A Wiener Process Perspective on Local Intrinsic Dimension Estimation Methods
Piotr Tempczyk, Łukasz Garncarek, Dominik Filipiak et al.
A Word-Splitting Approach to Kannada Sanskrit Sandhi Words Useful in Effective English Translation
Shanta Kallur, Basavaraj S. Anami
A Word-Splitting Approach to Kannada Sanskrit Sandhi Words Useful in Effective English Translation
Shanta Kallur, Basavaraj S. Anami
AWRaCLe: All-Weather Image Restoration Using Visual In-Context Learning
Sudarshan Rajagopalan, Vishal M. Patel
AXIS: Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents
Junting Lu, Zhiyang Zhang, Fangkai Yang et al.
Axis-level Symmetry Detection with Group-Equivariant Representation
Wongyun Yu, Ahyun Seo, Minsu Cho
A Zero-Shot Neuro-Symbolic Approach for Complex Knowledge Graph Question Answering
Prerna Agarwal, Srikanta Bedathur
A Zero-Shot Open-Vocabulary Pipeline for Dialogue Understanding
Abdulfattah Safa, Gözde Gül Şahin
B2Opt: Learning to Optimize Black-box Optimization with Little Budget
Xiaobin Li, Kai Wu, Xiaoyu Zhang et al.
B4: A Black-Box Scrubbing Attack on LLM Watermarks
Baizhou Huang, Xiao Pu, Xiaojun Wan
BabelEdits: A Benchmark and a Modular Approach for Robust Cross-lingual Knowledge Editing of Large Language Models
Tommaso Green, Félix Gaschi, Fabian David Schmidt et al.
Babies Learn to Look Ahead: Multi-Token Prediction in Small LMs
Ansar Aynetdinov, Alan Akbik
BabyLM’s First Constructions: Causal interventions provide a signal of learning
Joshua Rozner, Leonie Weissweiler, Cory Shain
BabyLM’s First Words: Word Segmentation as a Phonological Probing Task
Zébulon Goriely, Paula Buttery
BabyLM’s First Words: Word Segmentation as a Phonological Probing Task
Zébulon Goriely, Paula Buttery
BabyLMs for isiXhosa: Data-Efficient Language Modelling in a Low-Resource Context
Alexis Matzopoulos, Charl Hendriks, Hishaam Mahomed et al.
Babysit A Language Model From Scratch: Interactive Language Learning by Trials and Demonstrations
Ziqiao Ma, Zekun Wang, Joyce Chai
BabyVLM: Data-Efficient Pretraining of VLMs Inspired by Infant Learning
Shengao Wang, Arjun Chandra, Aoming Liu et al.
Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models
Zeping Yu, Yonatan Belinkov, Sophia Ananiadou
Backdoor Attack on Propagation-based Rumor Detectors
Di Jin, Yujun Zhang, Bingdao Feng et al.
Backdoor Attack on Vertical Federated Graph Neural Network Learning
Jirui Yang, Peng Chen, Zhihui Lu et al.
Backdoor Attacks Against No-Reference Image Quality Assessment Models via a Scalable Trigger
Yi Yu, Song Xia, Xun Lin et al.
Backdoor Attacks on Neural Networks via One-Bit Flip
Xiang Li, Lannan Luo, Qiang Zeng