Weiran Yao
17 papers · 2022–2025 · 9 venues · across top CS/AI venues
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Artificial Intelligence
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(5)
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(3)
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causal discovery
(4)
causal inference
(3)
agent system
(3)
autonomous agent
(3)
latent variable
(2)
ai agent
(2)
large language model
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llm agent
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collaborative ai
(2)
multi-agent system
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optimal transport
(1)
conditional entropy
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distributed training
(1)
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reinforcement learning
(1)
synthetic data generation
(1)
disentangled representation
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prompt learning
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policy gradient
(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
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
CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process
ICML 2024
Causal Layering via Conditional Entropy
CLeaR 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
PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
ICLR 2023
Temporally Disentangled Representation Learning under Unknown Nonstationarity
NeurIPS 2023
Learning Temporally Causal Latent Processes from General Temporal Data
ICLR 2022
Partial disentanglement for domain adaptation
ICML 2022
Temporally Disentangled Representation Learning
NeurIPS 2022