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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.03317 |
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| _version_ | 1866910040008425472 |
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| author | Kogan, David Nguyen, Sam Suzuki, Masanori Chen, Feiyang |
| author_facet | Kogan, David Nguyen, Sam Suzuki, Masanori Chen, Feiyang |
| contents | Recent advances in Large Language Models (LLMs) allow agents to execute complex natural language tasks. Many LLM applications, such as support agents, teaching assistants, and interactive bots, involve multi-turn conversations. However, it remains challenging to control LLMs in the context of such interactions, particularly when the LLM behavior needs to be adjustable over the course of the conversation. In this paper, we present Retcon, a few-shot prompting technique designed to provide turn-level control over LLMs in conversations. We then demonstrate that it performs significantly better than zero-shot and traditional few-shot prompting. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_03317 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Retcon -- a Prompt-Based Technique for Precise Control of LLMs in Conversations Kogan, David Nguyen, Sam Suzuki, Masanori Chen, Feiyang Computation and Language Recent advances in Large Language Models (LLMs) allow agents to execute complex natural language tasks. Many LLM applications, such as support agents, teaching assistants, and interactive bots, involve multi-turn conversations. However, it remains challenging to control LLMs in the context of such interactions, particularly when the LLM behavior needs to be adjustable over the course of the conversation. In this paper, we present Retcon, a few-shot prompting technique designed to provide turn-level control over LLMs in conversations. We then demonstrate that it performs significantly better than zero-shot and traditional few-shot prompting. |
| title | Retcon -- a Prompt-Based Technique for Precise Control of LLMs in Conversations |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2603.03317 |