Shelby Heinecke
17 papers · 2021–2025 · 10 conferences · across top CS/AI conferences
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agent system
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llm agent
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large language model
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language model
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action principle
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ai agent
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data generation
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trajectory learning
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large action model
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Papers
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback
ACL 2025
LATTE: Learning to Think with Vision Specialists
EMNLP 2025
ActionStudio: A Lightweight Framework for Data and Training of Large Action Models
EMNLP 2025
MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models
EMNLP 2025
SlackAgents: Scalable Collaboration of AI Agents in Workspaces
EMNLP 2025
xLAM: A Family of Large Action Models to Empower AI Agent Systems
NAACL 2025
Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents
ICLR 2025
PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data
ACL 2025
On the Unlikelihood of D-Separation
PGM 2024
Causal Layering via Conditional Entropy
CLEAR 2024
PRACT: Optimizing Principled Reasoning and Acting of LLM Agent
CONLL 2024
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI
EACL 2024
PRACT: Optimizing Principled Reasoning and Acting of LLM Agent
EMNLP 2024
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization
ICLR 2024
APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets
NIPS 2024
Tackling Data Heterogeneity in Federated Learning with Class Prototypes
AAAI 2023
Communication-Aware Collaborative Learning
AAAI 2021