1 citations · 1 across the 12 of their papers we have counts for
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FreeFuse: Multi-Subject LoRA Fusion via Adaptive Token-Level Routing at Test Time
Yaoli Liu, Yao-Xiang Ding, Kun Zhou
This paper proposes FreeFuse, a training-free framework for multi-subject text-to-image generation through automatic fusion of multiple subject LoRAs. In contrast to prior studies…
Abductive Logical Rule Induction by Bridging Inductive Logic Programming and Multimodal Large Language Models
Yifei Peng, Yaoli Liu, Enbo Xia +5
We propose ILP-CoT, a method that bridges Inductive Logic Programming (ILP) and Multimodal Large Language Models (MLLMs) for abductive logical rule induction. The task involves bot…
Motion-example-controlled Co-speech Gesture Generation Leveraging Large Language Models
Bohong Chen, Yumeng Li, Youyi Zheng +2
The automatic generation of controllable co-speech gestures has recently gained growing attention. While existing systems typically achieve gesture control through predefined categ…
Harnessing the Power of Reinforcement Learning for Language-Model-Based Information Retriever via Query-Document Co-Augmentation
Jingming Liu, Yumeng Li, Wei Shi +3
Recent studies have proposed leveraging Large Language Models (LLMs) as information retrievers through query rewriting. However, for challenging corpora, we argue that enhancing qu…
Pre-Training Meta-Rule Selection Policy for Visual Generative Abductive Learning
Yu Jin, Jingming Liu, Zhexu Luo +5
Visual generative abductive learning studies jointly training symbol-grounded neural visual generator and inducing logic rules from data, such that after learning, the visual gener…