5 citations · 10 across the 7 of their papers we have counts for
8 papers
Learning 3D Anisotropic Noise Distributions Improves Molecular Force Field Modeling
Xixian Liu, Rui Jiao, Zhiyuan Liu +6
Coordinate denoising has emerged as a promising method for 3D molecular pretraining due to its theoretical connection to learning molecular force field. However, existing denoising…
Toward Minimum Graphic Parity Networks
Yixin Cao, Yiren Lu, Junhong Nie +2
Quantum circuits composed of CNOT and are fundamental building blocks of many quantum algorithms, so optimizing the synthesis of such quantum circuits is crucial. We address…
ChartifyText: Automated Chart Generation from Data-Involved Texts via LLM
Songheng Zhang, Lei Wang, Toby Jia-Jun Li +3
Text documents with numerical values involved are widely used in various applications such as scientific research, economy, public health and journalism. However, it is difficult f…
Recognizing Everything from All Modalities at Once: Grounded Multimodal Universal Information Extraction
Meishan Zhang, Hao Fei, Bin Wang +4
In the field of information extraction (IE), tasks across a wide range of modalities and their combinations have been traditionally studied in isolation, leaving a gap in deeply re…
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing
Jiangshu Du, Yibo Wang, Wenting Zhao +37
This work is motivated by two key trends. On one hand, large language models (LLMs) have shown remarkable versatility in various generative tasks such as writing, drawing, and ques…
Combinatorial Approximations for Cluster Deletion: Simpler, Faster, and Better
Vicente Balmaseda, Ying Xu, Yixin Cao +1
Cluster deletion is an NP-hard graph clustering objective with applications in computational biology and social network analysis, where the goal is to delete a minimum number of ed…
Switching Classes: Characterization and Computation
Dhanyamol Antony, Yixin Cao, Sagartanu Pal +1
In a graph, the switching operation reverses adjacencies between a subset of vertices and the others. For a hereditary graph class , we are concerned with the maximum…
To be or not to be? an exploration of continuously controllable prompt engineering
Yuhan Sun, Mukai Li, Yixin Cao +4
As the use of large language models becomes more widespread, techniques like parameter-efficient fine-tuning and other methods for controlled generation are gaining traction for cu…