AI Paper Atlas

Research map / Large language models / Language, safety and interpretability

CEM: Commonsense-Aware Empathetic Response Generation

AAAI 2022 · Large language models › Language, safety and interpretability · approach: Faithfulness of LLM explanations · 145 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add commonsense-based affective and cognitive context refinementempathetic response generation · EmpatheticDialogues testPPL: 36.93 -> 36.11Helped
Add commonsense-based affective and cognitive context refinementempathetic response generation · EmpatheticDialogues testDist-1: 0.47 -> 0.66Helped
Add commonsense-based affective and cognitive context refinementempathetic response generation · EmpatheticDialogues testDist-2: 2.10 -> 2.99Helped
Add commonsense-based affective and cognitive context refinementempathetic response generation · EmpatheticDialogues testemotion accuracy: 33.57 -> 39.11Helped
Add commonsense-based affective and cognitive context refinementempathetic response generation · EmpatheticDialogues human evaluation vs. MoELinformativeness win rate: 61.0Helped
Add commonsense-based affective and cognitive context refinementempathetic response generation · EmpatheticDialogues human evaluation vs. MIMEinformativeness win rate: 48.6No clear effect
Add the affective and affection-refined encoders (ablation)CEM · EmpatheticDialogues testemotion accuracy: 33.76 -> 39.11Helped
Add the affective and affection-refined encoders (ablation)CEM · EmpatheticDialogues testDist-2: 2.52 -> 2.99Helped
Add the cognitive and cognition-refined encoders (ablation)CEM · EmpatheticDialogues testemotion accuracy: 36.42 -> 39.11Helped
Add the cognitive and cognition-refined encoders (ablation)CEM · EmpatheticDialogues testDist-2: 2.47 -> 2.99Helped
Add the diversity loss (ablation)CEM · EmpatheticDialogues testDist-1: 0.48 -> 0.66Helped
Add the diversity loss (ablation)CEM · EmpatheticDialogues testDist-2: 1.96 -> 2.99Helped

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy