1 citations · 1 across the 6 of their papers we have counts for
Showing 2024 · cs.CLShow all
3 papers · 2 filters
cs.CL2024
Your Co-Workers Matter: Evaluating Collaborative Capabilities of Language Models in Blocks World
Guande Wu, Chen Zhao, Claudio Silva +1
Language agents that interact with the world on their own have great potential for automating digital tasks. While large language model (LLM) agents have made progress in understan…
cs.CL2024
Parallel Structures in Pre-training Data Yield In-Context Learning
Yanda Chen, Chen Zhao, Zhou Yu +2
Pre-trained language models (LMs) are capable of in-context learning (ICL): they can adapt to a task with only a few examples given in the prompt without any parameter update. Howe…
cs.CL2024★ 1 cited
Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuning
Yanda Chen, Chandan Singh, Xiaodong Liu +4
Large language models (LLMs) often generate convincing, fluent explanations. However, different from humans, they often generate inconsistent explanations on different inputs. For…