works on

From the 1 of 5 linked papers with an AI index.

most citedAccelerating scientific discovery with Co-Scientist

76 citations · 76 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CL2026

FinanceHarness: Autonomous Financial Deep Research Framework

Yijia Xiao, Rujun Han, Yanfei Chen +8

The paper introduces FinanceHarness, a framework that uses large language models and autonomous agents to automate end‑to‑end financial deep research, and presents FinanceGym, a be…

cs.AI202676 cited

Accelerating scientific discovery with Co-Scientist

Juraj Gottweis, Wei-Hung Weng, Alexander Daryin +48

Scientific discovery is driven by scientists generating novel hypotheses for complex problems that undergo rigorous experimental validation. To augment this process, we introduce C…

cs.AI2026

LEAP: Supercharging LLMs for Formal Mathematics with Agentic Frameworks

Po-Nien Kung, Linfeng Song, Dawsen Hwang +10

Large Language Models (LLMs) exhibit strong informal mathematical reasoning but struggle to generate mechanically verifiable proofs in formal languages like Lean. We present LEAP,…

cs.AI2026

ScientistOne: Towards Human-Level Autonomous Research via Chain-of-Evidence

Rui Meng, Bhavana Dalvi Mishra, Jiefeng Chen +10

Autonomous research agents produce competitive solutions and professional-looking manuscripts, yet their outputs contain verifiability failures undetectable by surface-level evalua…

cs.LG2026

Co-RedTeam: Orchestrated Security Discovery and Exploitation with LLM Agents

Pengfei He, Ash Fox, Lesly Miculicich +7

Large language models (LLMs) have shown promise in assisting cybersecurity tasks, yet existing approaches struggle with automatic vulnerability discovery and exploitation due to li…