Update README.md

README.md

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 pipeline_tag: conversational
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+---
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+# COMEDY: COmpressive Memory-Enhanced Dialogue sYstems framework.
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+Github: https://github.com/nuochenpku/COMEDY
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+
+### Task: Long-Term Conversation Dialogue Generation
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+Different from previous retrieval-based methods, COMEDY doesn't rely on any **retrieval module or database**. 
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+Instead, COMEDY adopts a groundbreaking ''**One-for-All**'' approach, utilizing a single, unified model to manage the entire process from memory generation, compression to final response generation for long-term memory dialogue generation.
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+ - COMEDY firstly involves distilling session-specific memory from past dialogues, encompassing fine-grained session summaries, including event recaps, and detailed user and bot portraits; 
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+ - In a break from traditional systems, COMEDY eschews the use of a memory database for storing these insights. Instead, it reprocesses and condenses memories from all past interactions, forming a *Compressive Memory*: The first part is the **concise events** that have occurred throughout all the conversations, creating a historical narrative that the system can draw upon. The second and third parts consist of a **detailed user profile** and the **dynamic relationship changes** between the user and chatbot across sessions, both derived from past conversational events.
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+- Finally, COMEDY skillfully integrates this compressive memory into ongoing conversations, enabling contextually memory-enhanced interactions.
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+### Training Dataset 
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+**Dolphin**, the biggest Chinese long-term conversation dataset, from actual online user-chatbot interactions. 
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+This dataset contains three tasks: 
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+**Session-Level Memory Summarization**;
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+**Memory Compression**;
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+**Memory-Grounded Response Generation**, 
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+comprising an extensive collection of 100k samples.
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+Dolphin is available at [**Dolphin**](https://huggingface.co/datasets/Nuo97/Dolphin-DPO)
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+### Training Strategy
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+Our training strategies include two stages: Mixed-task training and DPO Alignment.
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+<br>
+<div align="center">
+  <img src="training_strategy.png" width="90%" title="Introduction Figure">
+</div>
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