Papers with Response Selection

2 papers
Do LLMs suffer from Multi-Party Hangover? A Diagnostic Approach to Addressee Recognition and Response Selection in Conversations (2024.emnlp-main)

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Challenge: Conventional evaluation methods often overlook variances in model behavior across different levels of structural complexity on interaction graphs.
Approach: They propose a methodological pipeline to investigate model performance across structural attributes of conversations.
Outcome: The proposed method analyzes the performance of an LLM to classify multi-party conversations . it shows that response selection relies more on the textual content of conversations compared to addressee recognition .
Injecting Domain Knowledge in Language Models for Task-oriented Dialogue Systems (2022.emnlp-main)

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Challenge: Pre-trained language models lack domain-specific knowledge that does not naturally occur in pre-training data.
Approach: They propose to inject domain-specific knowledge prior to fine-tuning on TOD tasks by using adapters that can be easily integrated with PLMs.
Outcome: The proposed methods show that they can inject domain-specific knowledge prior to fine-tuning on TOD tasks.

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