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Dialogue Evaluation

Papers

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Showing 1–50 of 97 papers

TitleStatusHype
DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation—0
MEDAL: A Framework for Benchmarking LLMs as Multilingual Open-Domain Chatbots and Dialogue EvaluatorsCode0
MARS-Bench: A Multi-turn Athletic Real-world Scenario Benchmark for Dialogue Evaluation—0
LeCoDe: A Benchmark Dataset for Interactive Legal Consultation Dialogue Evaluation—0
Methods for Recognizing Nested TermsCode0
RuOpinionNE-2024: Extraction of Opinion Tuples from Russian News TextsCode0
Beyond Single-Turn: A Survey on Multi-Turn Interactions with Large Language ModelsCode2
BoK: Introducing Bag-of-Keywords Loss for Interpretable Dialogue Response GenerationCode0
Measuring the Robustness of Reference-Free Dialogue Evaluation SystemsCode0
Dialogue You Can Trust: Human and AI Perspectives on Generated Conversations—0
Soda-Eval: Open-Domain Dialogue Evaluation in the age of LLMsCode0
ECoh: Turn-level Coherence Evaluation for Multilingual DialoguesCode0
On the Benchmarking of LLMs for Open-Domain Dialogue Evaluation—0
Leveraging LLMs for Dialogue Quality Measurement—0
LLM as a Scorer: The Impact of Output Order on Dialogue Evaluation—0
SLIDE: A Framework Integrating Small and Large Language Models for Open-Domain Dialogues EvaluationCode0
Emphasising Structured Information: Integrating Abstract Meaning Representation into LLMs for Enhanced Open-Domain Dialogue EvaluationCode0
PairEval: Open-domain Dialogue Evaluation with Pairwise ComparisonCode0
CodingTeachLLM: Empowering LLM's Coding Ability via AST Prior Knowledge—0
A Comprehensive Analysis of the Effectiveness of Large Language Models as Automatic Dialogue EvaluatorsCode0
DialogBench: Evaluating LLMs as Human-like Dialogue SystemsCode1
xDial-Eval: A Multilingual Open-Domain Dialogue Evaluation BenchmarkCode0
RADE: Reference-Assisted Dialogue Evaluation for Open-Domain Dialogue—0
Exploring the Impact of Human Evaluator Group on Chat-Oriented Dialogue EvaluationCode0
Simple LLM Prompting is State-of-the-Art for Robust and Multilingual Dialogue EvaluationCode0
Towards Multilingual Automatic Dialogue EvaluationCode0
C-PMI: Conditional Pointwise Mutual Information for Turn-level Dialogue EvaluationCode0
How to Choose How to Choose Your Chatbot: A Massively Multi-System MultiReference Data Set for Dialog Metric Evaluation—0
DEnsity: Open-domain Dialogue Evaluation Metric using Density EstimationCode1
U-NEED: A Fine-grained Dataset for User Needs-Centric E-commerce Conversational Recommendation—0
Pragmatically Appropriate Diversity for Dialogue Evaluation—0
GLM-Dialog: Noise-tolerant Pre-training for Knowledge-grounded Dialogue GenerationCode1
Improving Open-Domain Dialogue Evaluation with a Causal Inference Model—0
Don't Forget Your ABC's: Evaluating the State-of-the-Art in Chat-Oriented Dialogue SystemsCode1
PoE: a Panel of Experts for Generalized Automatic Dialogue Assessment—0
FineD-Eval: Fine-grained Automatic Dialogue-Level EvaluationCode1
Joint Goal Segmentation and Goal Success Prediction on Multi-Domain Conversations—0
Dialogue Evaluation with Offline Reinforcement Learning—0
SelF-Eval: Self-supervised Fine-grained Dialogue EvaluationCode0
Explaining Dialogue Evaluation Metrics using Adversarial Behavioral Analysis—0
MME-CRS: Multi-Metric Evaluation Based on Correlation Re-Scaling for Evaluating Open-Domain Dialogue—0
Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in RussianCode1
InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction TuningCode1
RuNNE-2022 Shared Task: Recognizing Nested Named EntitiesCode1
AdaCoach: A Virtual Coach for Training Customer Service Agents—0
What is wrong with you?: Leveraging User Sentiment for Automatic Dialog EvaluationCode0
Report from the NSF Future Directions Workshop on Automatic Evaluation of Dialog: Research Directions and Challenges—0
DEAM: Dialogue Coherence Evaluation using AMR-based Semantic ManipulationsCode0
Achieving Reliable Human Assessment of Open-Domain Dialogue SystemsCode0
FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows—0
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Benchmark Results

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