activity
20242026
most citedGemma 4 Technical Report

3 citations · 5 across the 6 of their papers we have counts for

collaborators

7 papers

cs.AI2026

Component-Aware Feedback for Self-Evolving Programs

Ethan Lin, Jinming Nian, Yi Fang

LLM-guided evolutionary search can discover complex programs, but existing methods mostly only save candidate programs and fitness scores while discarding which component edits pro…

cs.CV2026

WildFin: An In-the-Wild Dataset for Fish Behavioral Recognition

Abigail G. Grassick, Jerome Tze-Hou Hsu, Ethan Lin +10

Recent advances in field technology have led to a massive influx of in-the-wild video data for ecological science. The primary bottleneck in leveraging this data is the high cost o…

cs.CL2026★ 3 cited

Gemma 4 Technical Report

Gemma Team, Sherif El Abd, Vaibhav Aggarwal +320

We introduce Gemma 4, a new generation of open-weight, natively multimodal language models in the Gemma model family. Designed to advance compute efficiency and reasoning, the Gemm…

cs.AI2026

A case study of evaluating AI agents on a neuroscience data-to-discovery pipeline

Kai A. Horstmann, Ethan Lin, Alice A. Robie +2

Agentic AI offers a promising path to automating software development bottlenecks in scientific research pipelines, particularly for stages that take domain experts days to months…

cs.CV2025

Simple Agents Outperform Experts in Biomedical Imaging Workflow Optimization

Xuefei, Wang, Kai A. Horstmann +9

Adapting production-level computer vision tools to bespoke scientific datasets is a critical "last mile" bottleneck. Current solutions are impractical: fine-tuning requires large a…

cs.CV2025

Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor

Ethan Lin, Linxi Zhao, Atharva Sehgal +1

Text-based visual descriptors--ranging from simple class names to more descriptive phrases--are widely used in visual concept discovery and image classification with vision-languag…

cs.CL2024★ 2 cited

Evaluating and Enhancing Large Language Models for Novelty Assessment in Scholarly Publications

Ethan Lin, Zhiyuan Peng, Yi Fang

Recent studies have evaluated the creativity/novelty of large language models (LLMs) primarily from a semantic perspective, using benchmarks from cognitive science. However, access…