Papers by Yucheng Cai

2 papers
Entriever: Energy-based Retriever for Knowledge-Grounded Dialog Systems (2025.findings-acl)

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Challenge: Existing knowledge retrieval methods fail to account for interrelationship between knowledge pieces . however, current methods fail in a situation where multiple knowledge pieces are relevant .
Approach: They propose an energy-based retriever that directly models the candidate retrieval results as a whole instead of modeling the knowledge pieces separately.
Outcome: The proposed retriever outperforms the baseline energy-based retriever in knowledge retrieval tasks.
UniPCM: Universal Pre-trained Conversation Model with Task-aware Automatic Prompt (2024.lrec-main)

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Challenge: Recent studies have shown that multi-task instruction tuning after pre-training greatly improves the model’s robustness and transfer ability, which is crucial for building a high-quality dialog system.
Approach: They propose to use Task-aware Automatic Prompt generation (TAP) to automatically generate high-quality prompts from 15 dialog-related tasks.
Outcome: The proposed model is robust to input prompts and capable of various dialog-related tasks.

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