Shelby Heinecke
16 papers · 2021–2025 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (43) π£ Hot Topic Early Bird π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π€ Dynamic Duo (14)
π
Keyword Champion
(2)
π
Trend Setter
π
Renaissance Researcher
(7)
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(95)
Venues
Top co-authors
Research topics
Artificial Intelligence
(15)
Core AI
(13)
Machine Learning
(9)
Deep Learning
(4)
Natural Language Processing
(4)
Learning Types Β· Machine Learning
(4)
Learning Types Β· Deep Learning
(4)
Optimization & Theory
(4)
Mathematics & Optimization
(3)
Application Areas
(3)
Resources & Methods
(3)
Core Methods
(2)
Learning Paradigms
(2)
Optimization
(2)
Computer Science
(1)
Keywords
autonomous agent
(3)
agent system
(3)
llm agent
(2)
multi-agent system
(2)
causal discovery
(2)
ai agent
(2)
large language model
(2)
agent training
(2)
collaborative ai
(2)
large action model
(2)
data generation
(2)
model aggregation
(1)
text generation
(1)
synthetic data generation
(1)
natural language understanding
(1)
task-oriented dialogue
(1)
question answering
(1)
distributed learning
(1)
performance metric
(1)
pac learning
(1)
Papers
ActionStudio: A Lightweight Framework for Data and Training of Large Action Models
EMNLP 2025
Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents
ICLR 2025
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
MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models
EMNLP 2025
PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data
ACL 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
APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets
NeurIPS 2024
Causal Layering via Conditional Entropy
CLeaR 2024
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI
EACL 2024
On the Unlikelihood of D-Separation
PGM 2024
PRACT: Optimizing Principled Reasoning and Acting of LLM Agent
CoNLL 2024
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization
ICLR 2024
Tackling Data Heterogeneity in Federated Learning with Class Prototypes
AAAI 2023
Communication-Aware Collaborative Learning
AAAI 2021