Kyomin Jung
75 papers · 2007–2026 · 15 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (16) π Interdisciplinary Bridge π Renaissance Researcher (6) π£ Hot Topic Early Bird
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Interdisciplinary Bridge
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Keyword Pioneer
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Taxonomy Completionist
(16)
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Conference Loyalist
(23)
π€
Dynamic Duo
(19)
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Keyword Champion
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Grand Slam
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Topic Evolution
ποΈ
Keyword Collector
(348)
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Conference Pioneer
β‘
Prolific Year
(7)
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Unstoppable
(8)
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The Questioner
(4)
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Century Club
(69)
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Trend Setter
Conferences
EMNLP (23)
ACL (13)
NAACL (13)
AAAI (6)
EACL (3)
IJCNLP (3)
SEMEVAL (3)
COLING (2)
ICLR (2)
NIPS (2)
AACL (1)
ACML (1)
AISTATS (1)
ICML (1)
INTERSPEECH (1)
Top co-authors
Research topics
Keywords
large language model
(13)
vision-language model
(5)
multimodal learning
(5)
text generation
(5)
language model
(5)
contrastive learning
(5)
question answering
(4)
evaluation metric
(4)
text classification
(4)
prompt engineering
(3)
zero-shot reasoning
(3)
dialogue system
(3)
source-free domain adaptation
(3)
neural network
(3)
semantic similarity
(3)
adversarial attack
(3)
sequence labeling
(3)
image captioning
(3)
question generation
(3)
multi-task learning
(2)
Papers
Donβt Judge Code by Its Cover: Exploring Biases in LLM Judges for Code Evaluation
EACL 2026
Confidence-Guided Stepwise Model Routing for Cost-Efficient Reasoning
AAAI 2026
Persona Switch: Mixing Distinct Perspectives in Decoding Time
EACL 2026
Evaluating Visual Narrative Coherence in Story Visualization via Diversified Storylines
ACL 2026
How Training Data Shapes the Use of Parametric and In-Context Knowledge in Language Models
ACL 2026
Fooling the LVLM Judges: Visual Biases in LVLM-Based Evaluation
EMNLP 2025
Harmful Prompt Laundering: Jailbreaking LLMs with Abductive Styles and Symbolic Encoding
EMNLP 2025
ReflAct: World-Grounded Decision Making in LLM Agents via Goal-State Reflection
EMNLP 2025
Drift: Decoding-time Personalized Alignments with Implicit User Preferences
EMNLP 2025
Generating Diverse Hypotheses for Inductive Reasoning
NAACL 2025
Persona is a Double-Edged Sword: Rethinking the Impact of Role-play Prompts in Zero-shot Reasoning Tasks
AACL 2025
LLMs can be easily Confused by Instructional Distractions
ACL 2025
A Character-Centric Creative Story Generation via Imagination
ACL 2025
AdvisorQA: Towards Helpful and Harmless Advice-seeking Question Answering with Collective Intelligence
NAACL 2025
VLind-Bench: Measuring Language Priors in Large Vision-Language Models
NAACL 2025
Are LLM-Judges Robust to Expressions of Uncertainty? Investigating the effect of Epistemic Markers on LLM-based Evaluation
NAACL 2025
Avoidance Decoding for Diverse Multi-Branch Story Generation
EMNLP 2025
Conditional [MASK] Discrete Diffusion Language Model
EMNLP 2025
FaithUn: Toward Faithful Forgetting in Language Models by Investigating the Interconnectedness of Knowledge
EMNLP 2025
Return of EM: Entity-driven Answer Set Expansion for QA Evaluation
COLING 2025
Persona is a Double-Edged Sword: Rethinking the Impact of Role-play Prompts in Zero-shot Reasoning Tasks
IJCNLP 2025
Guaranteed Generation from Large Language Models
ICLR 2025
Public Data Assisted Differentially Private In-Context Learning
EMNLP 2025
Can You Trick the Grader? Adversarial Persuasion of LLM Judges
EMNLP 2025
Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding
NAACL 2025
SWITCH: Studying with Teacher for Knowledge Distillation of Large Language Models
NAACL 2025
LifeTox: Unveiling Implicit Toxicity in Life Advice
NAACL 2024
Kosmic: Korean Text Similarity Metric Reflecting Honorific Distinctions
COLING 2024
MP2D: An Automated Topic Shift Dialogue Generation Framework Leveraging Knowledge Graphs
EMNLP 2024
Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination
ACL 2024
IterCQR: Iterative Conversational Query Reformulation with Retrieval Guidance
NAACL 2024
Fine-grained Gender Control in Machine Translation with Large Language Models
NAACL 2024
Can LLMs Recognize Toxicity? A Structured Investigation Framework and Toxicity Metric
EMNLP 2024
DPP-TTS: Diversifying prosodic features of speech via determinantal point processes
EMNLP 2023
BREAK: Breaking the Dialogue State Tracking Barrier with Beam Search and Re-ranking
ACL 2023
Injecting Comparison Skills in Task-Oriented Dialogue Systems for Database Search Results Disambiguation
ACL 2023
Critic-Guided Decoding for Controlled Text Generation
ACL 2023
Task-specific Compression for Multi-task Language Models using Attribution-based Pruning
EACL 2023
Weakly Supervised Semantic Parsing with Execution-based Spurious Program Filtering
EMNLP 2023
Dialogizer: Context-aware Conversational-QA Dataset Generation from Textual Sources
EMNLP 2023
Target-Agnostic Gender-Aware Contrastive Learning for Mitigating Bias in Multilingual Machine Translation
EMNLP 2023
Asking Clarification Questions to Handle Ambiguity in Open-Domain QA
EMNLP 2023
PR-MCS: Perturbation Robust Metric for MultiLingual Image Captioning
EMNLP 2023
MILAB at PragTag-2023: Enhancing Cross-Domain Generalization through Data Augmentation with Reduced Uncertainty
EMNLP 2023
Factual Error Correction for Abstractive Summaries Using Entity Retrieval
EMNLP 2022
Improving Multiple Documents Grounded Goal-Oriented Dialog Systems via Diverse Knowledge Enhanced Pretrained Language Model
ACL 2022
Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking
NAACL 2022
Contrastive Learning for Context-aware Neural Machine Translation Using Coreference Information
EMNLP 2021
UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning
IJCNLP 2021
Self-Adapter at SemEval-2021 Task 10: Entropy-based Pseudo-Labeler for Source-free Domain Adaptation
IJCNLP 2021
QACE: Asking Questions to Evaluate an Image Caption
EMNLP 2021
Self-Adapter at SemEval-2021 Task 10: Entropy-based Pseudo-Labeler for Source-free Domain Adaptation
ACL 2021
KPQA: A Metric for Generative Question Answering Using Keyphrase Weights
NAACL 2021
Learning to Select Question-Relevant Relations for Visual Question Answering
NAACL 2021
Neural Sequence-to-grid Module for Learning Symbolic Rules
AAAI 2021
UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning
ACL 2021
Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech
ICLR 2021
Self-Adapter at SemEval-2021 Task 10: Entropy-based Pseudo-Labeler for Source-free Domain Adaptation
SEMEVAL 2021
Improving Context-Aware Neural Machine Translation Using Self-Attentive Sentence Embedding
AAAI 2020
Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning
ACL 2020
Multimodal Speech Emotion Recognition Using Cross Attention with Aligned Audio and Text
INTERSPEECH 2020
ViLBERTScore: Evaluating Image Caption Using Vision-and-Language BERT
EMNLP 2020
Detecting Incongruity between News Headline and Body Text via a Deep Hierarchical Encoder
AAAI 2019
Effective Sentence Scoring Method Using BERT for Speech Recognition
ACML 2019
Surf at MEDIQA 2019: Improving Performance of Natural Language Inference in the Clinical Domain by Adopting Pre-trained Language Model
ACL 2019
MILAB at SemEval-2019 Task 3: Multi-View Turn-by-Turn Model for Context-Aware Sentiment Analysis
SEMEVAL 2019
Improving Neural Question Generation Using Answer Separation
AAAI 2019
Number Sequence Prediction Problems for Evaluating Computational Powers of Neural Networks
AAAI 2019
Comparative Studies of Detecting Abusive Language on Twitter
EMNLP 2018
Multi-scale Nystrom Method
AISTATS 2018
Learning to Rank Question-Answer Pairs Using Hierarchical Recurrent Encoder with Latent Topic Clustering
NAACL 2018
AttnConvnet at SemEval-2018 Task 1: Attention-based Convolutional Neural Networks for Multi-label Emotion Classification
SEMEVAL 2018
Double NystrΓΆm Method: An Efficient and Accurate NystrΓΆm Scheme for Large-Scale Data Sets
ICML 2015
Local Rules for Global MAP: When Do They Work ?
NIPS 2009
Local Algorithms for Approximate Inference in Minor-Excluded Graphs
NIPS 2007