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20242026
most citedVHM: Versatile and Honest Vision Language Model for Remote Sensing Image Analysis

4 citations · 6 across the 47 of their papers we have counts for

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Showing 2026 · cs.AIShow all

10 papers · 2 filters

cs.AI2026

SKILLER: Language-Level Reinforcement Learning for Reusable Skill Extraction in Small Language Models

Chenhao Dang, Siyuan Xiong, Conghui He +1

Agent skills represent a standardized format for packaging procedural knowledge and domain expertise, serving within agent harness systems as an essential mechanism to continually…

cs.AI2026

Reinforcement Learning for Evidence-Seeking Diagnostic Reasoning with Large Language Models

Shengyi Hua, Kangzhe Hu, Conghui He +2

Recent reasoning-centric Large Language Models (LLMs) have made significant strides, yet they predominantly operate on a passive-inference pattern that assumes complete information…

cs.AI2026

PAGER: Bridging the Semantic-Execution Gap in Point-Precise Geometric GUI Control

Jingxuan Wei, Xi Bai, Shan Liu +8

Large vision-language models have significantly advanced GUI agents, enabling executable interaction across web, mobile, and desktop interfaces. Yet these gains largely rely on a f…

cs.AI2026

NanoResearch: Co-Evolving Skills, Memory, and Policy for Personalized Research Automation

Jinhang Xu, Qiyuan Zhu, Yujun Wu +11

LLM-powered multi-agent systems can now automate the full research pipeline from ideation to paper writing, but a fundamental question remains: automation for whom? Researchers ope…

cs.AI2026

Respecting Self-Uncertainty in On-Policy Self-Distillation for Efficient LLM Reasoning

Junlong Ke, Zichen Wen, Weijia Li +2

On-policy self-distillation trains a reasoning model on its own rollouts while a teacher, often the same model conditioned on privileged context, provides dense token-level supervi…

cs.AI2026

PaperFit: Vision-in-the-Loop Typesetting Optimization for Scientific Documents

Bihui Yu, Xinglong Xu, Junjie Jiang +6

A LaTeX manuscript that compiles without error is not necessarily publication-ready. The resulting PDFs frequently suffer from misplaced floats, overflowing equations, inconsistent…

cs.AI2026

MolRecBench-Wild: A Real-World Benchmark for Optical Chemical Structure Recognition

Haote Yang, Hui Wang, Chen Zhu +14

Optical Chemical Structure Recognition (OCSR) aims to translate molecular diagrams in scientific literature into machine-readable formats, but current systems remain unreliable on…

cs.AI2026

Intern-Atlas: A Methodological Evolution Graph as Research Infrastructure for AI Scientists

Yujun Wu, Dongxu Zhang, Xinchen Li +11

Existing research infrastructure is fundamentally document-centric, providing citation links between papers but lacking explicit representations of methodological evolution. In par…

cs.AI2026

Tracing the Roots: A Multi-Agent Framework for Uncovering Data Lineage in Post-Training LLMs

Yu Li, Xiaoran Shang, Qizhi Pei +11

Post-training data plays a pivotal role in shaping the capabilities of Large Language Models (LLMs), yet datasets are often treated as isolated artifacts, overlooking the systemic…

cs.AI2026

LRAS: Advanced Legal Reasoning with Agentic Search

Yujin Zhou, Chuxue Cao, Jinluan Yang +4

While Large Reasoning Models (LRMs) have demonstrated exceptional logical capabilities in mathematical domains, their application to the legal field remains hindered by the strict…