Papers with ground-truth reasoning rationales
Agent Lumos: Unified and Modular Training for Open-Source Language Agents (2024.acl-long)
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Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin
| Challenge: | Lumos is a framework for training open-source agents on complex interactive tasks. |
| Approach: | They propose a framework for training open-source LLM-based agents called Lumos . Lumos features a learnable, unified and modular architecture with a planning module that learns high-level subgoal generation and a grounding module trained to translate these into the actions using various tools in the execution module. |
| Outcome: | The framework outperforms open-source agents on QA and web tasks. |