Yoon Kim

LLM as a Risk Manager: LLM Semantic Filtering for Lead–Lag Trading in Prediction Markets ACL 2026 Implicit Representations of Grammaticality in Language Models ACL 2026 The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities ICLR 2025 On the Same Wavelength? Evaluating Pragmatic Reasoning in Language Models across Broad Concepts EMNLP 2025 reWordBench: Benchmarking and Improving the Robustness of Reward Models with Transformed Inputs EMNLP 2025 Position: Retrieval-augmented systems can be dangerous medical communicators ICML 2025 On the Duality between Gradient Transformations and Adapters ICML 2025 Vision-Language Models Do Not Understand Negation CVPR 2025 The Surprising Effectiveness of Test-Time Training for Few-Shot Learning ICML 2025 Ladder-Residual: Parallelism-Aware Architecture for Accelerating Large Model Inference with Communication Overlapping ICML 2025 Training-Free Activation Sparsity in Large Language Models ICLR 2025 Can You Learn Semantics Through Next-Word Prediction? The Case of Entailment ACL 2024 CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMs’ Mathematical Reasoning Capabilities ACL 2024 In-Context Language Learning: Architectures and Algorithms ICML 2024 LQ-LoRA: Low-rank plus Quantized Matrix Decomposition for Efficient Language Model Finetuning ICLR 2024 DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models ICLR 2024 Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement ICLR 2024 Natural Language Embedded Programs for Hybrid Language Symbolic Reasoning NAACL 2024 LangNav: Language as a Perceptual Representation for Navigation NAACL 2024 Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models NAACL 2024 Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks NAACL 2024 What Do Language Models Hear? Probing for Auditory Representations in Language Models ACL 2024 Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling ACL 2024 Learning to Decode Collaboratively with Multiple Language Models ACL 2024 Gated Linear Attention Transformers with Hardware-Efficient Training ICML 2024 Data Engineering for Scaling Language Models to 128K Context ICML 2024 Parallelizing Linear Transformers with the Delta Rule over Sequence Length NIPS 2024 Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment EMNLP 2024 Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps EMNLP 2024 Global Reward to Local Rewards: Multimodal-Guided Decomposition for Improving Dialogue Agents EMNLP 2024 MDCR: A Dataset for Multi-Document Conditional Reasoning EMNLP 2024 Fast Matrix Multiplications for Lookup Table-Quantized LLMs EMNLP 2024 Explain-then-translate: an analysis on improving program translation with self-generated explanations EMNLP 2023 Search Augmented Instruction Learning EMNLP 2023 Alignment via Mutual Information EMNLP 2023 Entailment as Robust Self-Learner ACL 2023 Unsupervised Discontinuous Constituency Parsing with Mildly Context-Sensitive Grammars ACL 2023 Alignment via Mutual Information CONLL 2023 Deriving Language Models from Masked Language Models ACL 2023 Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach ICLR 2023 Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning ICLR 2023 Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors NIPS 2023 Grammar Prompting for Domain-Specific Language Generation with Large Language Models NIPS 2023 Learning to Grow Pretrained Models for Efficient Transformer Training ICLR 2023 Simple Hardware-Efficient PCFGs with Independent Left and Right Productions EMNLP 2023 Co-training Improves Prompt-based Learning for Large Language Models ICML 2022 Controlling the Focus of Pretrained Language Generation Models ACL 2022 VALHALLA: Visual Hallucination for Machine Translation CVPR 2022 Large language models are few-shot clinical information extractors EMNLP 2022 Hierarchical Phrase-Based Sequence-to-Sequence Learning EMNLP 2022 Probing for Incremental Parse States in Autoregressive Language Models EMNLP 2022 Inducing and Using Alignments for Transition-based AMR Parsing NAACL 2022 DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings NAACL 2022 Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models IJCNLP 2021 Parameter-Efficient Transfer Learning with Diff Pruning IJCNLP 2021 Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models ACL 2021 Parameter-Efficient Transfer Learning with Diff Pruning ACL 2021 Sequence-to-Sequence Learning with Latent Neural Grammars NIPS 2021 Empirical Study of the Benefits of Overparameterization in Learning Latent Variable Models ICML 2020 Sequence-Level Mixed Sample Data Augmentation EMNLP 2020 Emergence of Separable Manifolds in Deep Language Representations ICML 2020 Compound Probabilistic Context-Free Grammars for Grammar Induction ACL 2019 Amortized Bethe Free Energy Minimization for Learning MRFs NIPS 2019 Avoiding Latent Variable Collapse with Generative Skip Models AISTATS 2019 Unsupervised Recurrent Neural Network Grammars NAACL 2019 Semi-Amortized Variational Autoencoders ICML 2018 Deep Latent Variable Models of Natural Language EMNLP 2018 Latent Alignment and Variational Attention NIPS 2018 Adversarially Regularized Autoencoders ICML 2018 OpenNMT: Open-Source Toolkit for Neural Machine Translation ACL 2017 Adapting Sequence Models for Sentence Correction EMNLP 2017 Sequence-Level Knowledge Distillation EMNLP 2016 Convolutional Neural Networks for Sentence Classification EMNLP 2014