Summary of Large Language Models Are Null-shot Learners, by Pittawat Taveekitworachai et al.
Large Language Models are Null-Shot Learnersby Pittawat Taveekitworachai, Febri Abdullah, Ruck ThawonmasFirst submitted to arxiv…
Summary of The Unreasonable Effectiveness Of Easy Training Data For Hard Tasks, by Peter Hase et al.
The Unreasonable Effectiveness of Easy Training Data for Hard Tasksby Peter Hase, Mohit Bansal, Peter…
Summary of Autoact: Automatic Agent Learning From Scratch For Qa Via Self-planning, by Shuofei Qiao et al.
AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planningby Shuofei Qiao, Ningyu Zhang, Runnan…
Summary of We Need to Talk About Classification Evaluation Metrics in Nlp, by Peter Vickers et al.
We Need to Talk About Classification Evaluation Metrics in NLPby Peter Vickers, Loïc Barrault, Emilio…
Summary of Laffi: Leveraging Hybrid Natural Language Feedback For Fine-tuning Language Models, by Qianxi Li et al.
LaFFi: Leveraging Hybrid Natural Language Feedback for Fine-tuning Language Modelsby Qianxi Li, Yingyue Cao, Jikun…
Summary of Unifying Large Language Models and Knowledge Graphs: a Roadmap, by Shirui Pan et al.
Unifying Large Language Models and Knowledge Graphs: A Roadmapby Shirui Pan, Linhao Luo, Yufei Wang,…
Summary of Bridging the Language Gap: Dynamic Learning Strategies For Improving Multilingual Performance in Llms, by Somnath Kumar et al.
Bridging the Language Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMsby Somnath Kumar,…