4 citations · 4 across the 4 of their papers we have counts for
6 papers
Human-AI Collaboration in Science at Scale: A Global Large-scale Randomized Field Experiment
Binglu Wang, Weixin Liang, Jiahui Xue +4
Collaboration is the defining mode of modern science, yet its core mechanism -- feedback -- remains hard to observe, difficult to scale, and unequally distributed. Here we test whe…
Closing the Modality Gap for Mixed Modality Search
Binxu Li, Yuhui Zhang, Xiaohan Wang +3
Mixed modality search -- retrieving information across a heterogeneous corpus composed of images, texts, and multimodal documents -- is an important yet underexplored real-world ap…
ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code
Tianyu Hua, Harper Hua, Violet Xiang +5
Large language models (LLMs) have shown promise in transforming machine learning research, yet their capability to faithfully implement novel ideas from recent research papers-idea…
Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems
Weixin Liang
Large language models (LLMs) have shown significant potential to change how we write, communicate, and create, leading to rapid adoption across society. This dissertation examines…
From Replication to Redesign: Exploring Pairwise Comparisons for LLM-Based Peer Review
Yaohui Zhang, Haijing Zhang, Wenlong Ji +4
The advent of large language models (LLMs) offers unprecedented opportunities to reimagine peer review beyond the constraints of traditional workflows. Despite these opportunities,…
Lomics: Generation of Pathways and Gene Sets using Large Language Models for Transcriptomic Analysis
Chun-Ka Wong, Ali Choo, Eugene C. C. Cheng +11
Interrogation of biological pathways is an integral part of omics data analysis. Large language models (LLMs) enable the generation of custom pathways and gene sets tailored to spe…