Fine-Grained Detection of Context-Grounded Hallucinations Using LLMs Paper • 2509.22582 • Published Sep 26 • 10
TabSTAR: A Foundation Tabular Model With Semantically Target-Aware Representations Paper • 2505.18125 • Published May 23 • 112
Decoding Open-Ended Information Seeking Goals from Eye Movements in Reading Paper • 2505.02872 • Published May 4 • 17 • 2
Decoding Open-Ended Information Seeking Goals from Eye Movements in Reading Paper • 2505.02872 • Published May 4 • 17
Decoding Open-Ended Information Seeking Goals from Eye Movements in Reading Paper • 2505.02872 • Published May 4 • 17 • 2
Follow the Flow: On Information Flow Across Textual Tokens in Text-to-Image Models Paper • 2504.01137 • Published Apr 1 • 21
AdaptiVocab: Enhancing LLM Efficiency in Focused Domains through Lightweight Vocabulary Adaptation Paper • 2503.19693 • Published Mar 25 • 76
Padding Tone: A Mechanistic Analysis of Padding Tokens in T2I Models Paper • 2501.06751 • Published Jan 12 • 32
Fine-Grained Prediction of Reading Comprehension from Eye Movements Paper • 2410.04484 • Published Oct 6, 2024 • 1 • 2
Are LLMs Better than Reported? Detecting Label Errors and Mitigating Their Effect on Model Performance Paper • 2410.18889 • Published Oct 24, 2024 • 15
Fine-Grained Prediction of Reading Comprehension from Eye Movements Paper • 2410.04484 • Published Oct 6, 2024 • 1
Fine-Grained Prediction of Reading Comprehension from Eye Movements Paper • 2410.04484 • Published Oct 6, 2024 • 1
GLEE: A Unified Framework and Benchmark for Language-based Economic Environments Paper • 2410.05254 • Published Oct 7, 2024 • 84
Sleeping 5 5 DiffusionLens 🔍 Generate images from text prompts using intermediate layers of text encoders