2 citations · 3 across the 12 of their papers we have counts for
12 papers
EgoSound: Benchmarking Sound Understanding in Egocentric Videos
Bingwen Zhu, Yuqian Fu, Qiaole Dong +6
Multimodal Large Language Models (MLLMs) have recently achieved remarkable progress in vision-language understanding. Yet, human perception is inherently multisensory, integrating…
A Hybrid Approach for EMF Code Generation:Code Templates Meet Large Language Models
Xiao He, Ru Chen, Zeqing Zhang +2
Template-based and LLM-based code generation are both key enablers of automated software development. The former provides correctness guarantees but are rigid for complex requireme…
Hierarchical Alignment: Block-Level LoRA-DPO for Preference Tuning in Large Language Models
Yukun Zhang, Yishen Chen, Qi Dong
Preference tuning typically distributes adapter updates across every Transformer layer. We study how the placement of a fixed LoRA budget affects Direct Preference Optimization (DP…
LacAIDes: Generative AI-Supported Creative Interactive Circuits Crafting to Enliven Traditional Lacquerware
Yaning Li, Yutong Chen, Yihan Hou +9
Lacquerware, a representative craft of Chinese intangible cultural heritage, is renowned for its layered aesthetics and durability but faces declining engagement. While prior human…
The Amazon Nova Family of Models: Technical Report and Model Card
Amazon AGI, Aaron Langford, Aayush Shah +783
We present Amazon Nova, a new generation of state-of-the-art foundation models that deliver frontier intelligence and industry-leading price performance. Amazon Nova Pro is a highl…
Latent Trajectory Dynamics in Large Language Models: A Manifold Evolution Framework with Empirical Validation
Yukun Zhang, Qi Dong, Mengkang Li
Understanding how latent representations evolve during generation is a central open problem in large language model interpretability. We introduce \textbf{Dynamical Manifold Evolut…
Multi-Scale Manifold Alignment for Interpreting Large Language Models: A Unified Information-Geometric Framework
Yukun Zhang, Qi Dong
We present Multi-Scale Manifold Alignment(MSMA), an information-geometric framework that decomposes LLM representations into local, intermediate, and global manifolds and learns cr…
HF-VTON: High-Fidelity Virtual Try-On via Consistent Geometric and Semantic Alignment
Ming Meng, Qi Dong, Jiajie Li +5
Virtual try-on technology has become increasingly important in the fashion and retail industries, enabling the generation of high-fidelity garment images that adapt seamlessly to t…
Emergent Hierarchical Structure in Large Language Models: An Information-Theoretic Framework for Multi-Scale Representation
Yukin Zhang, Qi Dong, Kemu Xu
Why do language models from different architecture families respond so differently to the same perturbation? We argue that the answer is not scale, but \emph{how architecture shape…
Revenue vs. Welfare: A Comprehensive Analysis of Strategic Trade-offs in Online Food Delivery Systems
Yukun Zhang, Qi Dong
This paper investigates the trade-off between short-term revenue generation and long-term social welfare optimization in online food delivery platforms. We first develop a static m…
Unveiling LLM Mechanisms Through Neural ODEs and Control Theory
Yukun Zhang, Qi Dong
This paper proposes a framework combining Neural Ordinary Differential Equations (Neural ODEs) and robust control theory to enhance the interpretability and control of large langua…
Non-autoregressive Sequence-to-Sequence Vision-Language Models
Kunyu Shi, Qi Dong, Luis Goncalves +2
Sequence-to-sequence vision-language models are showing promise, but their applicability is limited by their inference latency due to their autoregressive way of generating predict…