3 papers
cs.LG2026
Energy-Balanced Hyperspherical Graph Representation Learning via Structural Binding and Entropic Dispersion
Rui Chen, Junjun Guo, Hongbin Wang +3
Graph Representation Learning (GRL) can be fundamentally modeled as a physical process of seeking an energy equilibrium state for a node system on a latent manifold. However, exist…
cs.CL2026
Consensus-Aligned Neuron Efficient Fine-Tuning Large Language Models for Multi-Domain Machine Translation
Shuting Jiang, Ran Song, Yuxin Huang +4
Multi-domain machine translation (MDMT) aims to build a unified model capable of translating content across diverse domains. Despite the impressive machine translation capabilities…
cs.CL2025
Multilingual Generative Retrieval via Cross-lingual Semantic Compression
Yuxin Huang, Simeng Wu, Ran Song +4
Generative Information Retrieval is an emerging retrieval paradigm that exhibits remarkable performance in monolingual scenarios.However, applying these methods to multilingual ret…