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Dilara Soylu

2 accepted papers

2026

GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning

ICLR 2026oral

Large language models (LLMs) are increasingly adapted to downstream tasks via reinforcement learning (RL) methods like Group Relative Policy Optimization (GRPO), which often require thousands of rollouts to learn new tasks. We argue that the interpretable nature of language often provides a much ric…

Cited by 0SourcecodeScholar
2024

Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together

EMNLP 2024main

Natural Language Processing (NLP) systems are increasingly taking the form of sophisticated modular pipelines, e.g., Retrieval Augmented Generation (RAG), where each module may involve a distinct Language Model (LM) and an associated prompt template. These compound systems often lack intermediate la…

Cited by 14SourcePDFScholar