Yoon Kim
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
84
Venues
18
Active years
1997–2026
Best venue rank
A*
Where they publish
Papers
84 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | LLM as a Risk Manager: LLM Semantic Filtering for Lead-Lag Trading in Prediction Markets. | Sumin Kim, Minjae Kim, Jihoon Kwon, Yoon Kim, Oscar Levy, Alejandro Lopez-Lira, Yongjae Lee, Chanyeol Choi |
| 2026 | ACL | Implicit Representations of Grammaticality in Language Models. | Yingshan Susan Wang, Linlu Qiu, Zhaofeng Wu, Roger P. Levy, Yoon Kim |
| 2026 | ACL | Parallel-SFT: Improving Zero-Shot Cross-Programming-Language Transfer for Code RL. | Zhaofeng Wu, Shiqi Wang, Boya Peng, Anuj Kumar Goyal, Melanie Kambadur, Sebastian Ruder, Yoon Kim, Chloe Bi |
| 2026 | SIGIR | CoCo: Conformal Confidence Suppression to Optimize Search Results. | Zhou Qin, Shuang Wu, Yoon Kim, Yi Liu, Wenyang Liu |
| 2025 | CIKM | Advances in Financial AI: Innovations, Risk, and Responsibility in the Era of LLMs. | Yongjae Lee, Nazanin Mehrasa, Chanyeol Choi, Chung-Chi Chen, Dhagash Mehta, Stefan Zohren, Yoon Kim, Chulheum Lee, Yeonhee Lee, Eunsook Oh |
| 2025 | CVPR | Vision-Language Models Do Not Understand Negation. | Kumail Alhamoud, Shaden Alshammari, Yonglong Tian, Guohao Li, Philip H. S. Torr, Yoon Kim, Marzyeh Ghassemi |
| 2025 | EMNLP | On the Same Wavelength? Evaluating Pragmatic Reasoning in Language Models across Broad Concepts. | Linlu Qiu, Cedegao E. Zhang, Joshua B. Tenenbaum, Yoon Kim, Roger P. Levy |
| 2025 | EMNLP | reWordBench: Benchmarking and Improving the Robustness of Reward Models with Transformed Inputs. | Zhaofeng Wu, Michihiro Yasunaga, Andrew Cohen, Yoon Kim, Asli Celikyilmaz, Marjan Ghazvininejad |
| 2025 | ICLR | Training-Free Activation Sparsity in Large Language Models. | James Liu, Pragaash Ponnusamy, Tianle Cai, Han Guo, Yoon Kim, Ben Athiwaratkun |
| 2025 | ICLR | The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities. | Zhaofeng Wu, Xinyan Velocity Yu, Dani Yogatama, Jiasen Lu, Yoon Kim |
| 2025 | ICML | The Surprising Effectiveness of Test-Time Training for Few-Shot Learning. | Ekin Akyrek, Mehul Damani, Adam Zweiger, Linlu Qiu, Han Guo, Jyothish Pari, Yoon Kim, Jacob Andreas |
| 2025 | ICML | On the Duality between Gradient Transformations and Adapters. | Lucas Torroba Hennigen, Hunter Lang, Han Guo, Yoon Kim |
| 2025 | ICML | Position: Retrieval-augmented systems can be dangerous medical communicators. | Lionel Wong, Ayman Ali, Raymond M. Xiong, Zejiang Shen, Yoon Kim, Monica Agrawal |
| 2025 | ICML | Ladder-Residual: Parallelism-Aware Architecture for Accelerating Large Model Inference with Communication Overlapping. | Muru Zhang, Mayank Mishra, Zhongzhu Zhou, William Brandon, Jue Wang, Yoon Kim, Jonathan Ragan-Kelley, Shuaiwen Leon Song, Ben Athiwaratkun, Tri Dao |
| 2025 | MICCAI | TUBA: AI-Assisted Nasogastric Tube Placement Assessment System. | Gwiseong Moon, Kyoung Min Moon, Inseo Park, Kanghee Lee, Doohee Lee, Woojin Kim, Yoon Kim, Hyun-Soo Choi |
| 2024 | ACL | Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling. | Hang Jiang, Xiajie Zhang, Robert Mahari, Daniel T. Kessler, Eric Ma, Tal August, Irene Li, Alex Pentland, Yoon Kim, Deb K. Roy, Jad Kabbara |
| 2024 | ACL | CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMs' Mathematical Reasoning Capabilities. | Yujun Mao, Yoon Kim, Yilun Zhou |
| 2024 | ACL | Can You Learn Semantics Through Next-Word Prediction? The Case of Entailment. | William Merrill, Zhaofeng Wu, Norihito Naka, Yoon Kim, Tal Linzen |
| 2024 | ACL | What Do Language Models Hear? Probing for Auditory Representations in Language Models. | Jerry Ngo, Yoon Kim |
| 2024 | ACL | Learning to Decode Collaboratively with Multiple Language Models. | Zejiang Shen, Hunter Lang, Bailin Wang, Yoon Kim, David A. Sontag |
| 2024 | EMNLP | Global Reward to Local Rewards: Multimodal-Guided Decomposition for Improving Dialogue Agents. | Dong Won Lee, Hae Park, Yoon Kim, Cynthia Breazeal, Louis-Philippe Morency |
| 2024 | EMNLP | MDCR: A Dataset for Multi-Document Conditional Reasoning. | Peter Baile Chen, Yi Zhang, Chunwei Liu, Sejal Gupta, Yoon Kim, Mike Cafarella |
| 2024 | EMNLP | Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps. | Yung-Sung Chuang, Linlu Qiu, Cheng-Yu Hsieh, Ranjay Krishna, Yoon Kim, James R. Glass |
| 2024 | EMNLP | Fast Matrix Multiplications for Lookup Table-Quantized LLMs. | Han Guo, William Brandon, Radostin Cholakov, Jonathan Ragan-Kelley, Eric P. Xing, Yoon Kim |
| 2024 | EMNLP | Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment. | Zhaofeng Wu, Ananth Balashankar, Yoon Kim, Jacob Eisenstein, Ahmad Beirami |
| 2024 | ICLR | DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models. | Yung-Sung Chuang, Yujia Xie, Hongyin Luo, Yoon Kim, James R. Glass, Pengcheng He |
| 2024 | ICLR | LQ-LoRA: Low-rank plus Quantized Matrix Decomposition for Efficient Language Model Finetuning. | Han Guo, Philip Greengard, Eric P. Xing, Yoon Kim |
| 2024 | ICLR | Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement. | Linlu Qiu, Liwei Jiang, Ximing Lu, Melanie Sclar, Valentina Pyatkin, Chandra Bhagavatula, Bailin Wang, Yoon Kim, Yejin Choi, Nouha Dziri, Xiang Ren |
| 2024 | ICML | In-Context Language Learning: Architectures and Algorithms. | Ekin Akyrek, Bailin Wang, Yoon Kim, Jacob Andreas |
| 2024 | ICML | Data Engineering for Scaling Language Models to 128K Context. | Yao Fu, Rameswar Panda, Xinyao Niu, Xiang Yue, Hannaneh Hajishirzi, Yoon Kim, Hao Peng |
| 2024 | ICML | Gated Linear Attention Transformers with Hardware-Efficient Training. | Songlin Yang, Bailin Wang, Yikang Shen, Rameswar Panda, Yoon Kim |
| 2024 | NAACL | LangNav: Language as a Perceptual Representation for Navigation. | Bowen Pan, Rameswar Panda, SouYoung Jin, Rogrio Feris, Aude Oliva, Phillip Isola, Yoon Kim |
| 2024 | NAACL | Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks. | Zhaofeng Wu, Linlu Qiu, Alexis Ross, Ekin Akyrek, Boyuan Chen, Bailin Wang, Najoung Kim, Jacob Andreas, Yoon Kim |
| 2024 | NAACL | Natural Language Embedded Programs for Hybrid Language Symbolic Reasoning. | Tianhua Zhang, Jiaxin Ge, Hongyin Luo, Yung-Sung Chuang, Mingye Gao, Yuan Gong, Yoon Kim, Xixin Wu, Helen Meng, Jim Glass |
| 2024 | NAACL | Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models. | Yue Zhou, Yada Zhu, Diego Antognini, Yoon Kim, Yang Zhang |
| 2024 | UIST | VizAbility: Enhancing Chart Accessibility with LLM-based Conversational Interaction. | Joshua Gorniak, Yoon Kim, Donglai Wei, Nam Wook Kim |
| 2023 | ACL | Entailment as Robust Self-Learner. | Jiaxin Ge, Hongyin Luo, Yoon Kim, James R. Glass |
| 2023 | ACL | Deriving Language Models from Masked Language Models. | Lucas Torroba Hennigen, Yoon Kim |
| 2023 | ACL | Unsupervised Discontinuous Constituency Parsing with Mildly Context-Sensitive Grammars. | Songlin Yang, Roger Levy, Yoon Kim |
| 2023 | ASRU | Audio-Visual Neural Syntax Acquisition. | Cheng-I Jeff Lai, Freda Shi, Puyuan Peng, Yoon Kim, Kevin Gimpel, Shiyu Chang, Yung-Sung Chuang, Saurabhchand Bhati, David D. Cox, David Harwath, Yang Zhang, Karen Livescu, James R. Glass |
| 2023 | CoNLL | Alignment via Mutual Information. | Shinjini Ghosh, Yoon Kim, Ramn Fernandez Astudillo, Tahira Naseem, Jacob Andreas |
| 2023 | EMNLP | Simple Hardware-Efficient PCFGs with Independent Left and Right Productions. | Wei Liu, Songlin Yang, Yoon Kim, Kewei Tu |
| 2023 | EMNLP | Search Augmented Instruction Learning. | Hongyin Luo, Tianhua Zhang, Yung-Sung Chuang, Yuan Gong, Yoon Kim, Xixin Wu, Helen Meng, James R. Glass |
| 2023 | EMNLP | Explain-then-translate: an analysis on improving program translation with self-generated explanations. | Zilu Tang, Mayank Agarwal, Alexander Shypula, Bailin Wang, Derry Wijaya, Jie Chen, Yoon Kim |
| 2023 | ICLR | Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach. | Han Guo, Philip Greengard, Hongyi Wang, Andrew Gelman, Yoon Kim, Eric P. Xing |
| 2023 | ICLR | Learning to Grow Pretrained Models for Efficient Transformer Training. | Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogrio Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim |
| 2023 | ICLR | Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning. | Zhen Wang, Rameswar Panda, Leonid Karlinsky, Rogrio Feris, Huan Sun, Yoon Kim |
| 2022 | ACL | Controlling the Focus of Pretrained Language Generation Models. | Jiabao Ji, Yoon Kim, James R. Glass, Tianxing He |
| 2022 | CVPR | VALHALLA: Visual Hallucination for Machine Translation. | Yi Li, Rameswar Panda, Yoon Kim, Chun-Fu Richard Chen, Rogrio Feris, David D. Cox, Nuno Vasconcelos |
| 2022 | EMNLP | Large language models are few-shot clinical information extractors. | Monica Agrawal, Stefan Hegselmann, Hunter Lang, Yoon Kim, David A. Sontag |
| 2022 | EMNLP | Probing for Incremental Parse States in Autoregressive Language Models. | Tiwalayo Eisape, Vineet Gangireddy, Roger Levy, Yoon Kim |
| 2022 | EMNLP | Hierarchical Phrase-Based Sequence-to-Sequence Learning. | Bailin Wang, Ivan Titov, Jacob Andreas, Yoon Kim |
| 2022 | ICML | Co-training Improves Prompt-based Learning for Large Language Models. | Hunter Lang, Monica N. Agrawal, Yoon Kim, David A. Sontag |
| 2022 | NAACL | DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings. | Yung-Sung Chuang, Rumen Dangovski, Hongyin Luo, Yang Zhang, Shiyu Chang, Marin Soljacic, Shang-Wen Li, Scott Yih, Yoon Kim, James R. Glass |
| 2022 | NAACL | Inducing and Using Alignments for Transition-based AMR Parsing. | Andrew Drozdov, Jiawei Zhou, Radu Florian, Andrew McCallum, Tahira Naseem, Yoon Kim, Ramn Fernandez Astudillo |
| 2021 | ACL | Parameter-Efficient Transfer Learning with Diff Pruning. | Demi Guo, Alexander M. Rush, Yoon Kim |
| 2021 | MICCAI | Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field. | Stanislav Lukyanenko, Won-Dong Jang, Donglai Wei, Robbert Struyven, Yoon Kim, Brian D. Leahy, Helen Y. Yang, Alexander M. Rush, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister |
| 2020 | EMNLP | Sequence-Level Mixed Sample Data Augmentation. | Demi Guo, Yoon Kim, Alexander M. Rush |
| 2020 | ICML | Empirical Study of the Benefits of Overparameterization in Learning Latent Variable Models. | Rares-Darius Buhai, Yoni Halpern, Yoon Kim, Andrej Risteski, David A. Sontag |
| 2020 | ICML | Emergence of Separable Manifolds in Deep Language Representations. | Jonathan Mamou, Hang Le, Miguel Del Rio, Cory Stephenson, Hanlin Tang, Yoon Kim, SueYeon Chung |
| 2019 | ACL | Compound Probabilistic Context-Free Grammars for Grammar Induction. | Yoon Kim, Chris Dyer, Alexander M. Rush |
| 2019 | AISTATS | Avoiding Latent Variable Collapse with Generative Skip Models. | Adji B. Dieng, Yoon Kim, Alexander M. Rush, David M. Blei |
| 2019 | NAACL | Unsupervised Recurrent Neural Network Grammars. | Yoon Kim, Alexander M. Rush, Lei Yu, Adhiguna Kuncoro, Chris Dyer, Gbor Melis |
| 2018 | AMTA | OpenNMT: Neural Machine Translation Toolkit. | Guillaume Klein, Yoon Kim, Yuntian Deng, Vincent Nguyen, Jean Senellart, Alexander M. Rush |
| 2018 | ICASSP | Generalised Discriminative Transform via Curriculum Learning for Speaker Recognition. | Erik Marchi, Stephen Shum, Kvuveon Hwang, Sachin Kajarekar, Siddharth Sigtia, Hywel Richards, Rob Haynes, Yoon Kim, John Bridle |
| 2018 | ICML | Semi-Amortized Variational Autoencoders. | Yoon Kim, Sam Wiseman, Andrew C. Miller, David A. Sontag, Alexander M. Rush |
| 2018 | ICML | Adversarially Regularized Autoencoders. | Junbo Jake Zhao, Yoon Kim, Kelly Zhang, Alexander M. Rush, Yann LeCun |
| 2017 | ACL | OpenNMT: Open-Source Toolkit for Neural Machine Translation. | Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart, Alexander M. Rush |
| 2017 | EMNLP | Adapting Sequence Models for Sentence Correction. | Allen Schmaltz, Yoon Kim, Alexander M. Rush, Stuart M. Shieber |
| 2017 | ICLR | Structured Attention Networks. | Yoon Kim, Carl Denton, Luong Hoang, Alexander M. Rush |
| 2016 | AAAI | Character-Aware Neural Language Models. | Yoon Kim, Yacine Jernite, David A. Sontag, Alexander M. Rush |
| 2016 | EMNLP | Sequence-Level Knowledge Distillation. | Yoon Kim, Alexander M. Rush |
| 2014 | ACL | Temporal Analysis of Language through Neural Language Models. | Yoon Kim, Yi-I Chiu, Kentaro Hanaki, Darshan Hegde, Slav Petrov |
| 2014 | EMNLP | Convolutional Neural Networks for Sentence Classification. | Yoon Kim |
| 2011 | Interspeech | A Multimodal Real-Time MRI Articulatory Corpus for Speech Research. | Shrikanth S. Narayanan, Erik Bresch, Prasanta Kumar Ghosh, Louis Goldstein, Athanasios Katsamanis, Yoon Kim, Adam C. Lammert, Michael I. Proctor, Vikram Ramanarayanan, Yinghua Zhu |
| 2007 | ICCSA | Load Distribution Method and Admission control for Streaming Media QoS in Distributed Transcoding Servers. | Nansook Heo, Dongsun Lim, Dongmahn Seo, Inbum Jung, Yoon Kim |
| 2007 | ICCSA | Experimental Evaluation for Scalability and QoS in a VOD System. | Dongmahn Seo, Hanmin Bang, Nansook Heo, Inbum Jung, Yoon Kim |
| 2006 | ICCSA | Thin-Client Computing for Supporting the QoS of Streaming Media in Mobile Devices. | Joahyoung Lee, Dongmahn Seo, Yoon Kim, Changyeol Choi, Hwang Kyu Choi, Inbum Jung |
| 2006 | ICCSA | Load Distribution Strategies in Cluster-Based Transcoding Servers for Mobile Clients. | Dongmahn Seo, Joahyoung Lee, Yoon Kim, Changyeol Choi, Hwang Kyu Choi, Inbum Jung |
| 2003 | ICCSA | A Novel De-interlacing Technique Using Bi-directional Motion Estimation. | Yoon Kim, Kang-Sun Choi, Jae-Young Pyun, Byung-Tae Choi, Sung-Jea Ko |
| 2003 | ICCSA | Rate Control for Low Bit Rate Video via Enhanced Frame Skipping. | Jae-Young Pyun, Yoon Kim, Sung-Jea Ko |
| 2001 | Interspeech | Maximum-likelihood affine cepstral filtering (MLACF) technique for speaker normalization. | Yoon Kim |
| 1997 | ICASSP | Automatic pronunciation scoring for language instruction. | Horacio Franco, Leonardo Neumeyer, Yoon Kim, Orith Ronen |
| 1997 | Interspeech | Automatic pronunciation scoring of specific phone segments for language instruction. | Yoon Kim, Horacio Franco, Leonardo Neumeyer |