SOTAVerified

Dialogue Evaluation

Papers

Showing 2650 of 97 papers

TitleStatusHype
Achieving Reliable Human Assessment of Open-Domain Dialogue SystemsCode0
A Comprehensive Analysis of the Effectiveness of Large Language Models as Automatic Dialogue EvaluatorsCode0
Adversarial Learning for Neural Dialogue GenerationCode0
A Human-machine Collaborative Framework for Evaluating Malevolence in DialoguesCode0
An Adversarially-Learned Turing Test for Dialog Generation ModelsCode0
Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog SystemsCode0
BoK: Introducing Bag-of-Keywords Loss for Interpretable Dialogue Response GenerationCode0
C-PMI: Conditional Pointwise Mutual Information for Turn-level Dialogue EvaluationCode0
DEAM: Dialogue Coherence Evaluation using AMR-based Semantic ManipulationsCode0
Deconstruct to Reconstruct a Configurable Evaluation Metric for Open-Domain Dialogue SystemsCode0
ECoh: Turn-level Coherence Evaluation for Multilingual DialoguesCode0
Evaluating Coherence in Dialogue Systems using EntailmentCode0
Exploring the Impact of Human Evaluator Group on Chat-Oriented Dialogue EvaluationCode0
GCDF1: A Goal- and Context- Driven F-Score for Evaluating User ModelsCode0
Generating Negative Samples by Manipulating Golden Responses for Unsupervised Learning of a Response Evaluation ModelCode0
Improving Automated Evaluation of Open Domain Dialog via Diverse Reference AugmentationCode0
Investigating Evaluation of Open-Domain Dialogue Systems With Human Generated Multiple ReferencesCode0
MDD-Eval: Self-Training on Augmented Data for Multi-Domain Dialogue EvaluationCode0
Measuring the Robustness of Reference-Free Dialogue Evaluation SystemsCode0
MEDAL: A Framework for Benchmarking LLMs as Multilingual Open-Domain Chatbots and Dialogue EvaluatorsCode0
Methods for Recognizing Nested TermsCode0
PairEval: Open-domain Dialogue Evaluation with Pairwise ComparisonCode0
Predictive Engagement: An Efficient Metric For Automatic Evaluation of Open-Domain Dialogue SystemsCode0
Proxy Indicators for the Quality of Open-domain DialoguesCode0
RuOpinionNE-2024: Extraction of Opinion Tuples from Russian News TextsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MDD-EvalSpearman Correlation0.51Unverified
2Lin-Reg (all)Spearman Correlation0.49Unverified
3USRSpearman Correlation0.42Unverified
4USR - DR (x = c)Spearman Correlation0.32Unverified
5USR - MLMSpearman Correlation0.31Unverified
6USR - DR (x = f)Spearman Correlation0.14Unverified
#ModelMetricClaimedVerifiedStatus
1Lin-Reg (all)Spearman Correlation0.54Unverified
2USR - DR (x = c)Spearman Correlation0.48Unverified
3USRSpearman Correlation0.47Unverified
4USR - MLMSpearman Correlation0.08Unverified
5USR - DR (x = f)Spearman Correlation-0.05Unverified