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20232026
most citedA Survey of Vibe Coding with Large Language Models

4 citations · 6 across the 10 of their papers we have counts for

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5 papers · 1 filter

cs.CL2026

DeepInstructor: An Agentic AI Instructor for Experience-Driven Idea Evaluation

Rongcan Pei, Fang Guo, Qinglin Qi +7

As automated scientific discovery advances, Large Language Models (LLMs) can now generate research ideas at an unprecedented scale, shifting the bottleneck from idea generation to…

cs.CL2026

Narrative Knowledge Weaver: Narrative-Centric Retrieval-Augmented Reasoning for Long-Form Text Understanding

Qiuyu Tian, Fengyi Chen, Yiding Li +9

Long-form narrative QA requires reasoning over evolving story worlds rather than isolated passages: answers may depend on earlier goals, changing character states, social relations…

cs.AI2026

AiraXiv: An AI-Driven Open-Access Platform for Human and AI Scientists

Junshu Pan, Panzhong Lu, Yixuan Weng +5

Recent advances in artificial intelligence (AI) have accelerated the growth of both human-authored and AI-generated research outputs, placing increasing strain on traditional acade…

cs.CV2026

AutoFigure-Edit: Generating Editable Scientific Illustration

Zhen Lin, Qiujie Xie, Minjun Zhu +10

High-quality scientific illustrations are essential for communicating complex scientific and technical concepts, yet existing automated systems remain limited in editability, styli…

cs.CV2026

VERA: Identifying and Leveraging Visual Evidence Retrieval Heads in Long-Context Understanding

Rongcan Pei, Huan Li, Fang Guo +1

While Vision-Language Models (VLMs) have shown promise in textual understanding, they face significant challenges when handling long context and complex reasoning tasks. In this pa…