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20242026
most citedData Interpreter: An LLM Agent For Data Science

11 citations · 20 across the 12 of their papers we have counts for

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6 papers · 1 filter

cs.CL2026

JevGPT: Thinking Fast and Slow in Autonomous Research

Yasheng Sun, Yanning Dai, Yimeng Chen +9

Autonomous research agents must acquire and reason over evidence within a limited budget. Yet relevant sources can remain uninspected or unused, leaving a gap between retrieval cov…

cs.AI2026

History Replays Itself: Unleashing Long-Context Capability in Linear Attention

Li Nanbo, Firas Laakom, Yilan Zhang +10

Linear attention promises the efficiency needed for long-context language modelling, yet its fixed-size recurrent state must simultaneously support ongoing computation and preserve…

cs.CL2026

SciDiagramEdit: Learning to Edit Scientific Diagrams from Paper Revisions

Yasheng Sun, Zezi Zeng, Yifan Yang +4

Editing the figures in a research paper is a routine and time-consuming part of everyday research practice: authors relabel components, rearrange panels, and restyle visuals as the…

cs.AI2026

Self-Improvements in Modern Agentic Systems: A Survey

Zhe Ren, Yimeng Chen, Dandan Guo +9

Self-improving autonomous agents are moving from research prototypes to deployed systems. The primary goal is controllable evolution, or adaptation, from experience with minimal or…

cs.LG2026

Neural Computers

Mingchen Zhuge, Changsheng Zhao, Haozhe Liu +16

We propose a new frontier: Neural Computers (NCs) that unify computation, memory, and I/O of traditional computers in a learned runtime state. Our long-term goal is the Completely…

cs.SE2026

Planning to Explore: Curiosity-Driven Planning for LLM Test Generation

Alfonso Amayuelas, Firas Laakom, Piotr Piękos +5

The use of LLMs for code generation has naturally extended to code testing and evaluation. As codebases grow in size and complexity, so does the need for automated test generation.…