conftrace_

Kang Min Yoo

33 papers · 2018–2025 · 10 conferences · across top CS/AI conferences

Achievements

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+14 more ↓ 🐝 Cross-Pollinator (12) 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (7) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (7)
🌈 Renaissance Researcher (7) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (10) 🀝 Dynamic Duo (13) πŸ† Grand Slam πŸ‘₯ Mega-Team (37) 🌱 Topic Pioneer ❓ The Questioner πŸ’Ž Century Club (33) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter ⚑ Prolific Year (8) πŸ—ƒοΈ Keyword Collector (137) πŸ”₯ Unstoppable (8)

Conferences

EMNLP (10) ACL (6) NAACL (4) AAAI (3) NIPS (3) COLING (2) IJCNLP (2) ICLR (1) ICML (1) INTERSPEECH (1)

Papers

Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models ICLR 2025 LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices NAACL 2025 KMMLU: Measuring Massive Multitask Language Understanding in Korean NAACL 2025 ZeroDL: Zero-shot Distribution Learning for Text Clustering via Large Language Models ACL 2025 Peri-LN: Revisiting Normalization Layer in the Transformer Architecture ICML 2025 Aligning Large Language Models by On-Policy Self-Judgment ACL 2024 Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts EMNLP 2024 Aligning Language Models to Explicitly Handle Ambiguity EMNLP 2024 Paralinguistics-Aware Speech-Empowered Large Language Models for Natural Conversation NIPS 2024 Instruction Tuning with Human Curriculum NAACL 2024 Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization NIPS 2023 HyperT5: Towards Compute-Efficient Korean Language Modeling ACL 2023 Critic-Guided Decoding for Controlled Text Generation ACL 2023 Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning ACL 2023 Prompt-Augmented Linear Probing: Scaling beyond the Limit of Few-Shot In-Context Learners AAAI 2023 Mutual Information Divergence: A Unified Metric for Multimodal Generative Models NIPS 2022 Attribute Injection for Pretrained Language Models: A New Benchmark and an Efficient Method COLING 2022 Continuous Decomposition of Granularity for Neural Paraphrase Generation COLING 2022 Generating Information-Seeking Conversations from Unlabeled Documents EMNLP 2022 Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations EMNLP 2022 Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble EMNLP 2022 AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models EMNLP 2022 Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking NAACL 2022 What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers EMNLP 2021 Self-Guided Contrastive Learning for BERT Sentence Representations IJCNLP 2021 Self-Guided Contrastive Learning for BERT Sentence Representations ACL 2021 DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances AAAI 2021 GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation EMNLP 2021 Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation EMNLP 2020 Don’t Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja EMNLP 2019 Don’t Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja IJCNLP 2019 Data Augmentation for Spoken Language Understanding via Joint Variational Generation AAAI 2019 Slot Filling with Delexicalized Sentence Generation INTERSPEECH 2018