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Found 7 papers, 1 papers with code
Constructing Emotional Consensus and Utilizing Unpaired Data for Empathetic Dialogue Generation
To address the above issues, we propose a dual-generative model, Dual-Emp, to simultaneously construct the emotional consensus and utilize some external unpaired data.
Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues
Existing methods target instructions from real instruction dialogues as a learning goal and fine-tune a user simulator for posing instructions.
Enhancing Role-playing Systems through Aggressive Queries: Evaluation and Improvement
Experiments on models improved by RoleAD indicate that our adversarial dataset ameliorates this deficiency, with the improvements demonstrating a degree of generalizability in ordinary scenarios.
DialogBench: Evaluating LLMs as Human-like Dialogue Systems
In this paper, we propose DialogBench, a dialogue evaluation benchmark that contains 12 dialogue tasks to probe the capabilities of LLMs as human-like dialogue systems should have.
Counterfactual Data Augmentation via Perspective Transition for Open-Domain Dialogues
The dialogue data admits a wide variety of responses for a given dialogue history, especially responses with different semantics.
Constructing Emotion Consensus and Utilizing Unpaired Data for Empathetic Dialogue Generation
To address the above issues, we propose a dual-generative model, Dual-Emp, to simultaneously construct the emotion consensus and utilize some external unpaired data.
SE-DAE: Style-Enhanced Denoising Auto-Encoder for Unsupervised Text Style Transfer
Moreover, to alleviate the conflict between the targets of the conventional denoising procedure and the style transfer task, we propose another novel style denoising mechanism, which is more compatible with the target of the style transfer task.
