activity
20232026
most citedLow-code LLM: Graphical User Interface over Large Language Models

23 citations · 31 across the 10 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.AI2026

ExecCritic: Learn to Test, Test to Improve for Coding Agents

Leitian Tao, Baolin Peng, Haorui Wang +7

Execution feedback can guide coding agents toward correct repository repairs, but only when the tests capture the behavior requested by the issue. Agent-generated tests can encode…

cs.LG2026

TRACE: Turn-level Reward Assignment via Credit Estimation for Long-Horizon Agents

Leitian Tao, Baolin Peng, Wenlin Yao +5

Multi-turn agents solve complex tasks through extended sequences of tool interactions before producing a final answer, making credit assignment a fundamental challenge during post-…

cs.IR2026

LEDGER: Scaling Agentic Document Editing with Dependency-aware Graph Retrieval

Mike Hang Wang, Utkarsh Garg, Reza Davari +5

We introduce LEDGER to tackle the novel context engineering challenge of agentic document editing, where localized edits to long, structured documents must be applied efficiently w…

cs.AI2026

Orchard: An Open-Source Agentic Modeling Framework

Baolin Peng, Wenlin Yao, Qianhui Wu +11

Agentic modeling aims to transform LLMs into autonomous agents capable of solving complex tasks through planning, reasoning, tool use, and multi-turn interaction with external envi…

cs.AI2026

Synthetic Computers at Scale for Long-Horizon Productivity Simulation

Tao Ge, Baolin Peng, Hao Cheng +1

Realistic long-horizon productivity work is strongly conditioned on user-specific computer environments, where much of the work context is stored and organized through directory st…