1 citations · 1 across the 5 of their papers we have counts for
5 papers
TELLER: Dual-Path Iterative Preference Optimization for Table Entity Linking
Yixin Peng, Kehao Li, Stefan Decker
Entity linking in tables matches short and ambiguous cell mentions to their corresponding knowledge-base entities. Existing approaches typically rely on data preprocessing pipeline…
Squeezing Capacity from Multimodal Large Language Models for Subject-driven Generation
Shuhong Zheng, Aashish Kumar Misraa, Yu-Teng Li +2
Subject-driven image generation aims to synthesize new images that preserve the identity of the given subject while following textual instructions. Existing approaches often encode…
UniFusion: Vision-Language Model as Unified Encoder in Image Generation
Kevin Li, Manuel Brack, Sudeep Katakol +2
Although recent advances in visual generation have been remarkable, most existing architectures still depend on distinct encoders for images and text. This separation constrains di…
Hyperbolic Active Learning for Semantic Segmentation under Domain Shift
Luca Franco, Paolo Mandica, Konstantinos Kallidromitis +4
We introduce a hyperbolic neural network approach to pixel-level active learning for semantic segmentation. Analysis of the data statistics leads to a novel interpretation of the h…
Neighboring State-based Exploration for Reinforcement Learning
Yu-Teng Li, Justin Lin, Jeffery Cheng +1
Reinforcement Learning is a powerful tool to model decision-making processes. However, it relies on an exploration-exploitation trade-off that remains an open challenge for many ta…