Deep Learning
HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis
HEST -1k processing enabled the identification of 2.1 million expression-morphology pairs and over 76 million nuclei.
WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models
Where the updated knowledge resides in memories is a fundamental question for model editing.
Flow Snapshot Neurons in Action: Deep Neural Networks Generalize to Biological Motion Perception
Biological motion perception (BMP) refers to humans' ability to perceive and
Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling
Touvron et al., 2023; Jiang et al., 2023) has become a central theme of research.
Unelicitable Backdoors in Language Models via Cryptographic Transformer Circuits
In this paper, we introduce a novel class of backdoors in transformer models, that, in contrast to prior art, are unelicitable in nature.
The State of Data Curation at NeurIPS: An Assessment of Dataset Development Practices in the Datasets and Benchmarks Track The State of Data Curation at NeurIPS: Appendix A. Rubric 2
A Spoken Language Dataset of Descriptions for Speech - Based Gro unded Language Learning.
Autoformalizing Mathematical Statements by Symbolic Equivalence and Semantic Consistency Zenan Li1 Yifan Wu2 Zhaoyu Li3 Xinming Wei 2
This work was partially done during Zenan's and Yifan's internships at MSRA. 38th Conference on Neural Information Processing Systems (NeurIPS 2024).
MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems Bin Lei
Recent advancements in large language models, such as GPT -4, have demonstrated remarkable capabilities in processing standard queries.
