24 citations · 35 across the 6 of their papers we have counts for
7 papers
An Analysis and Mitigation of the Reversal Curse
Ang Lv, Kaiyi Zhang, Shufang Xie +4
Recent research observed a noteworthy phenomenon in large language models (LLMs), referred to as the ``reversal curse.'' The reversal curse is that when dealing with two entities,…
FABind: Fast and Accurate Protein-Ligand Binding
Qizhi Pei, Kaiyuan Gao, Lijun Wu +7
Modeling the interaction between proteins and ligands and accurately predicting their binding structures is a critical yet challenging task in drug discovery. Recent advancements i…
Retrosynthesis Prediction with Local Template Retrieval
Shufang Xie, Rui Yan, Junliang Guo +3
Retrosynthesis, which predicts the reactants of a given target molecule, is an essential task for drug discovery. In recent years, the machine learing based retrosynthesis methods…
GETMusic: Generating Any Music Tracks with a Unified Representation and Diffusion Framework
Ang Lv, Xu Tan, Peiling Lu +4
Symbolic music generation aims to create musical notes, which can help users compose music, such as generating target instrument tracks based on provided source tracks. In practica…
ResiDual: Transformer with Dual Residual Connections
Shufang Xie, Huishuai Zhang, Junliang Guo +6
Transformer networks have become the preferred architecture for many tasks due to their state-of-the-art performance. However, the optimal way to implement residual connections in…
Re-creation of Creations: A New Paradigm for Lyric-to-Melody Generation
Ang Lv, Xu Tan, Tao Qin +2
Lyric-to-melody generation is an important task in songwriting, and is also quite challenging due to its unique characteristics: the generated melodies should not only follow good…
RetroGraph: Retrosynthetic Planning with Graph Search
Shufang Xie, Rui Yan, Peng Han +5
Retrosynthetic planning, which aims to find a reaction pathway to synthesize a target molecule, plays an important role in chemistry and drug discovery. This task is usually modele…