Shelby Heinecke
- Papers
- 15
Cite
Notes
Only stored in your browser.
Authored papers
15Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey
arXiv 2026
ActionStudio: A Lightweight Framework for Data and Training of Large Action Models
arXiv 2025
LoCoBench: A Benchmark for Long-Context Large Language Models in Complex Software Engineering
arXiv 2025
LoCoBench-Agent: An Interactive Benchmark for LLM Agents in Long-Context Software Engineering
arXiv 2025
Promptomatix: An Automatic Prompt Optimization Framework for Large Language Models
arXiv 2025
MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models
arXiv 2025
UserRL: Training Interactive User-Centric Agent via Reinforcement Learning
arXiv 2025
UserBench: An Interactive Gym Environment for User-Centric Agents
arXiv 2025
CoDA: Coding LM via Diffusion Adaptation
arXiv 2025
AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning
arXiv 2024
TACO: Learning Multi-modal Action Models with Synthetic Chains-of-Thought-and-Action
arXiv 2024
AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System
arXiv 2024
BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents
arXiv 2023
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization
arXiv 2023
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI
arXiv 2023
Affiliations
Frequent co-authors
10from 15 papers