← Authors

Yoon Kim

71 papers · 2014–2025 · 10 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (11) 🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (9) πŸ“› The Namer 🧬 Topic Evolution πŸ† Keyword Champion (2) 🀝 Dynamic Duo (11) πŸ‘‘ Triple Crown πŸ’Ž Century Club (71) ⚑ Prolific Year (5) πŸ”₯ Unstoppable (10) πŸ—ƒοΈ Keyword Collector (250) ❓ The Questioner (4)

Conferences

EMNLP (19) ACL (13) ICML (12) ICLR (8) NAACL (7) NIPS (6) CVPR (2) IJCNLP (2) AISTATS (1) CONLL (1)

Top co-authors

Alexander Rush (11) bailin wang (9) Rameswar Panda (6) Jacob Andreas (6) Han Guo (6) Yung-Sung Chuang (5) Linlu Qiu (5) James Glass (5) Zhaofeng Wu (5) Hongyin Luo (5)

Research topics

Education (1)

Keywords

large language model (11) language model (8) variational inference (5) zero-shot learning (5) machine translation (5) grammar induction (4) contrastive learning (3) representation learning (3) masked language model (3) language modeling (3) question answering (3) variational autoencoder (3) pretrained language model (3) mutual information (3) neural network (3) latent variable model (3) few-shot learning (2) unsupervised learning (2) constituency parsing (2) transfer learning (2)

Papers

Training-Free Activation Sparsity in Large Language Models ICLR 2025
The Surprising Effectiveness of Test-Time Training for Few-Shot Learning ICML 2025
Vision-Language Models Do Not Understand Negation CVPR 2025
On the Same Wavelength? Evaluating Pragmatic Reasoning in Language Models across Broad Concepts EMNLP 2025
The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities ICLR 2025
Position: Retrieval-augmented systems can be dangerous medical communicators ICML 2025
Ladder-Residual: Parallelism-Aware Architecture for Accelerating Large Model Inference with Communication Overlapping ICML 2025
reWordBench: Benchmarking and Improving the Robustness of Reward Models with Transformed Inputs EMNLP 2025
On the Duality between Gradient Transformations and Adapters ICML 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
Natural Language Embedded Programs for Hybrid Language Symbolic Reasoning NAACL 2024
Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement ICLR 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
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
LangNav: Language as a Perceptual Representation for Navigation NAACL 2024
Gated Linear Attention Transformers with Hardware-Efficient Training ICML 2024
Data Engineering for Scaling Language Models to 128K Context ICML 2024
In-Context Language Learning: Architectures and Algorithms 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
Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning ICLR 2023
Simple Hardware-Efficient PCFGs with Independent Left and Right Productions EMNLP 2023
Explain-then-translate: an analysis on improving program translation with self-generated explanations EMNLP 2023
Alignment via Mutual Information CONLL 2023
Search Augmented Instruction Learning EMNLP 2023
Deriving Language Models from Masked Language Models ACL 2023
Entailment as Robust Self-Learner ACL 2023
Alignment via Mutual Information EMNLP 2023
Learning to Grow Pretrained Models for Efficient Transformer Training ICLR 2023
Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach ICLR 2023
Unsupervised Discontinuous Constituency Parsing with Mildly Context-Sensitive Grammars ACL 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
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
Sequence-to-Sequence Learning with Latent Neural Grammars NIPS 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
Parameter-Efficient Transfer Learning with Diff Pruning IJCNLP 2021
Sequence-Level Mixed Sample Data Augmentation EMNLP 2020
Empirical Study of the Benefits of Overparameterization in Learning Latent Variable Models ICML 2020
Emergence of Separable Manifolds in Deep Language Representations ICML 2020
Avoiding Latent Variable Collapse with Generative Skip Models AISTATS 2019
Unsupervised Recurrent Neural Network Grammars NAACL 2019
Compound Probabilistic Context-Free Grammars for Grammar Induction ACL 2019
Amortized Bethe Free Energy Minimization for Learning MRFs NIPS 2019
Semi-Amortized Variational Autoencoders ICML 2018
Latent Alignment and Variational Attention NIPS 2018
Deep Latent Variable Models of Natural Language EMNLP 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