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Papers
AGILE: A Novel Reinforcement Learning Framework of LLM Agents
NeurIPS 2024
An Evaluation Mechanism of LLM-based Agents on Manipulating APIs
EMNLP 2024
ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL
ICML 2024
BLADE: Benchmarking Language Model Agents for Data-Driven Science
EMNLP 2024
ExpeL: LLM Agents Are Experiential Learners
AAAI 2024
Identifying the Risks of LM Agents with an LM-Emulated Sandbox
ICLR 2024
Into the Unknown Unknowns: Engaged Human Learning through Participation in Language Model Agent Conversations
EMNLP 2024
LangSuit·E: Planning, Controlling and Interacting with Large Language Models in Embodied Text Environments
ACL 2024
Probing the Capacity of Language Model Agents to Operationalize Disparate Experiential Context Despite Distraction
EMNLP 2024
Soft Self-Consistency Improves Language Models Agents
ACL 2024
SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering
NeurIPS 2024
Synatra: Turning Indirect Knowledge into Direct Demonstrations for Digital Agents at Scale
NeurIPS 2024
Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven Agents
ACL 2024
VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View
AAAI 2024
Your Co-Workers Matter: Evaluating Collaborative Capabilities of Language Models in Blocks World
ACL 2024