Jinyoung Yeo

Orcid: 0000-0003-3847-4917

According to our database1, Jinyoung Yeo authored at least 58 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Evaluating Robustness of Reward Models for Mathematical Reasoning.
CoRR, 2024

YA-TA: Towards Personalized Question-Answering Teaching Assistants using Instructor-Student Dual Retrieval-augmented Knowledge Fusion.
CoRR, 2024

Is Functional Correctness Enough to Evaluate Code Language Models? Exploring Diversity of Generated Codes.
CoRR, 2024

Large Language Models Are Self-Taught Reasoners: Enhancing LLM Applications via Tailored Problem-Solving Demonstrations.
CoRR, 2024

SC-Rec: Enhancing Generative Retrieval with Self-Consistent Reranking for Sequential Recommendation.
CoRR, 2024

Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation.
CoRR, 2024

Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning.
CoRR, 2024

Unsupervised Robust Cross-Lingual Entity Alignment via Joint Modeling of Entity and Relation Texts.
CoRR, 2024

Do LLMs Have Distinct and Consistent Personality? TRAIT: Personality Testset designed for LLMs with Psychometrics.
CoRR, 2024

THEANINE: Revisiting Memory Management in Long-term Conversations with Timeline-augmented Response Generation.
CoRR, 2024

Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models.
CoRR, 2024

Ever-Evolving Memory by Blending and Refining the Past.
CoRR, 2024

Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset.
CoRR, 2024

Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering.
CoRR, 2024

COCOA: CBT-based Conversational Counseling Agent using Memory Specialized in Cognitive Distortions and Dynamic Prompt.
CoRR, 2024

RTSUM: Relation Triple-based Interpretable Summarization with Multi-level Salience Visualization.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations, 2024

Unveiling Implicit Table Knowledge with Question-Then-Pinpoint Reasoner for Insightful Table Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Cactus: Towards Psychological Counseling Conversations using Cognitive Behavioral Theory.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Coffee-Gym: An Environment for Evaluating and Improving Natural Language Feedback on Erroneous Code.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Evidentiality-aware Retrieval for Overcoming Abstractiveness in Open-Domain Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Commonsense-augmented Memory Construction and Management in Long-term Conversations via Context-aware Persona Refinement.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

VerifiNER: Verification-augmented NER via Knowledge-grounded Reasoning with Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Self-Consistent Reasoning-based Aspect-Sentiment Quad Prediction with Extract-Then-Assign Strategy.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Can Large Language Models be Good Emotional Supporter? Mitigating Preference Bias on Emotional Support Conversation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Large Language Models Are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Coffee: Boost Your Code LLMs by Fixing Bugs with Feedback.
CoRR, 2023

RTSUM: Relation Triple-based Interpretable Summarization with Multi-level Salience Visualization.
CoRR, 2023

Evidence-Empowered Transfer Learning for Alzheimer's Disease.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CoTEVer: Chain of Thought Prompting Annotation Toolkit for Explanation Verification.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. EACL 2023, 2023

TUTORING: Instruction-Grounded Conversational Agent for Language Learners.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Modularized Transfer Learning with Multiple Knowledge Graphs for Zero-shot Commonsense Reasoning.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

BotsTalk: Machine-sourced Framework for Automatic Curation of Large-scale Multi-skill Dialogue Datasets.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Mind the Gap! Injecting Commonsense Knowledge for Abstractive Dialogue Summarization.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

TrustAL: Trustworthy Active Learning Using Knowledge Distillation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Dual Task Framework for Improving Persona-Grounded Dialogue Dataset.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Label and Context Augmentation for Response Selection at DSTC8.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

2020
XINA: Explainable Instance Alignment Using Dominance Relationship.
IEEE Trans. Knowl. Data Eng., 2020

Conversion Prediction from Clickstream: Modeling Market Prediction and Customer Predictability.
IEEE Trans. Knowl. Data Eng., 2020

Less is More: Attention Supervision with Counterfactuals for Text Classification.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Label-Efficient Training for Next Response Selection.
Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing, 2020

2019
XINA: Explainable Instance Alignment using Dominance Relationship (Extended Abstract).
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Learning with Limited Data for Multilingual Reading Comprehension.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Soft Representation Learning for Sparse Transfer.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Visual Choice of Plausible Alternatives: An Evaluation of Image-based Commonsense Causal Reasoning.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Machine-Translated Knowledge Transfer for Commonsense Causal Reasoning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Multimodal KB Harvesting for Emerging Spatial Entities.
IEEE Trans. Knowl. Data Eng., 2017

Efficient Keyword-Aware Representative Travel Route Recommendation.
IEEE Trans. Knowl. Data Eng., 2017

Predicting Online Purchase Conversion for Retargeting.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

2016
Browsing2purchase: Online Customer Model for Sales Forecasting in an E-Commerce Site.
Proceedings of the 25th International Conference on World Wide Web, 2016

Purchase Influence Mining: Identifying Top-k Items Attracting Purchase of Target Item.
Proceedings of the 25th International Conference on World Wide Web, 2016

Event Grounding from Multimodal Social Network Fusion.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Understanding Emerging Spatial Entities.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
KSTR: Keyword-Aware Skyline Travel Route Recommendation.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2012
Finding influential products on social domination game.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012


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