---
title: "Yoon Kim — all works — Elamur Research"
description: "All 123 works of Yoon Kim in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/yoon-kim/works/"
---
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# Yoon Kim — all works

123 works · page 1 of 2 · 1–100 · [← Yoon Kim](https://md.research.elamur.ai/free/en/authors/yoon-kim/)

**1** [2](https://md.research.elamur.ai/free/en/authors/yoon-kim/works/page/2/) [next →](https://md.research.elamur.ai/free/en/authors/yoon-kim/works/page/2/)

1. **[Convolutional Neural Networks for Sentence Classification](https://md.research.elamur.ai/free/en/papers/kim-2014-convolutional-neural-networks-sentence-classification/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yoon Kim*2014 · 16,299 citations*
2. **[OpenNMT: Open-Source Toolkit for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/klein-2017-opennmt-open-source-toolkit-neural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guillaume Klein, Yoon Kim, Yuntian Deng, et al.*2017 · 2,475 citations*
3. **[Character-Aware Neural Language Models](https://md.research.elamur.ai/free/en/papers/kim-2015-character-aware-neural-language-models/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Yoon Kim, Yacine Jernite, David Sontag, et al.*2015 · 1,874 citations*
4. **[Sequence-Level Knowledge Distillation](https://md.research.elamur.ai/free/en/papers/kim-2016-sequence-level-knowledge-distillation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yoon Kim, Alexander M. Rush*2016 · 1,464 citations*
5. **[Large language models are few-shot clinical information extractors](https://md.research.elamur.ai/free/en/papers/agrawal-2022-large-language-models-are-few/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Monica Agrawal, Stefan Hegselmann, Hunter Lang, et al.*2022 · 454 citations*
6. **[Temporal Analysis of Language through Neural Language Models](https://md.research.elamur.ai/free/en/papers/kim-2014-temporal-analysis-language-through-neural/) [ACL Workshop on Language Technologies and Computational Social Science](https://md.research.elamur.ai/free/en/venues/acl-workshop-on-language-technologies-and-computational-social-science/)**Yoon Kim, Yi-I Chiu, Kentaro Hanaki, et al.*2014 · 441 citations*
7. **[Large Language Models are Few-Shot Clinical Information Extractors](https://md.research.elamur.ai/free/en/papers/agrawal-2022-large-language-models-few-shot/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Monica Agrawal, Stefan Hegselmann, Hunter Lang, et al.*2022 · 384 citations*
8. **[Parameter-Efficient Transfer Learning with Diff Pruning](https://md.research.elamur.ai/free/en/papers/guo-2021-parameter-efficient-transfer-learning-diff/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Demi Guo, Alexander Rush, Yoon Kim*2021 · 367 citations*
9. [**DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models arXiv:2309.03883**Yung-Sung Chuang, Yujia Xie, Hongyin Luo, et al.*2023 · 269 citations*](https://md.research.elamur.ai/free/en/papers/chuang-2023-dola-decoding-contrasting-layers-improves/)
10. **[DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings](https://md.research.elamur.ai/free/en/papers/chuang-2022-diffcse-difference-based-contrastive-learning/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Yung-Sung Chuang, Rumen Dangovski, Hongyin Luo, et al.*2022 · 269 citations*
11. **[Compound Probabilistic Context-Free Grammars for Grammar Induction](https://md.research.elamur.ai/free/en/papers/kim-2019-compound-probabilistic-context-free-grammars/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yoon Kim, Chris Dyer, Alexander Rush*2019 · 201 citations*
12. **[Structured Attention Networks ↗](https://arxiv.org/abs/1702.00887) arXiv (Cornell University) · no summary yet**Yoon Kim et al.*2017 · 188 citations*
13. **[Automatic pronunciation scoring for language instruction ↗](https://doi.org/10.1109/icassp.1997.596227) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Horacio Franco et al.*1997 · 181 citations*
14. **[Unsupervised Recurrent Neural Network Grammars ↗](https://aclanthology.org/N19-1114/) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yet**Yoon Kim et al.*2019 · 168 citations*
15. **[Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks ↗](https://arxiv.org/abs/2307.02477) arXiv:2307.02477 · no summary yet**Zhaofeng Wu et al.*2023 · 139 citations*
16. **[Gated Linear Attention Transformers with Hardware-Efficient Training ↗](https://arxiv.org/abs/2312.06635) arXiv:2312.06635 · no summary yet**Songlin Yang et al.*2023 · 138 citations*
17. **[OpenNMT: Neural Machine Translation Toolkit ↗](https://aclanthology.org/W18-1817/) Proceedings of the 13th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track) · no summary yet**Guillaume Klein et al.*2018 · 131 citations*
18. **[Sequence-Level Mixed Sample Data Augmentation ↗](https://aclanthology.org/2020.emnlp-main.447/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Demi Guo, Yoon Kim, Alexander Rush*2020 · 114 citations*
19. [**Data Engineering for Scaling Language Models to 128K Context arXiv:2402.10171**Yao Fu, Rameswar Panda, Xinyao Niu, et al.*2024 · 109 citations*](https://md.research.elamur.ai/free/en/papers/fu-2024-data-engineering-scaling-language-models/)
20. **[Automatic pronunciation scoring of specific phone segments for language instruction ↗](https://doi.org/10.21437/eurospeech.1997-230) European Conference on Speech Communication and Technology (Eurospeech) · no summary yet**Yoon Kim, Horacio Franco, Leonardo Neumeyer*1997 · 109 citations*
21. **[Latent Alignment and Variational Attention ↗](https://arxiv.org/abs/1807.03756) arXiv (Cornell University) · no summary yet**Yuntian Deng et al.*2018 · 98 citations*
22. **[Parallelizing Linear Transformers with the Delta Rule over Sequence Length ↗](https://arxiv.org/abs/2406.06484) arXiv:2406.06484 · no summary yet**Songlin Yang et al.*2024 · 87 citations*
23. **[Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps](https://md.research.elamur.ai/free/en/papers/chuang-2024-lookback-lens-detecting-mitigating-contextual/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yung-Sung Chuang, Linlu Qiu, Cheng-Yu Hsieh, et al.*2024 · 78 citations*
24. **[Semi-Amortized Variational Autoencoders ↗](https://arxiv.org/abs/1802.02550) arXiv (Cornell University) · no summary yet**Yoon Kim et al.*2018 · 78 citations*
25. **[Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning ↗](https://arxiv.org/abs/2303.02861) arXiv (Cornell University) · no summary yet**Zhen Wang et al.*2023 · 77 citations*
26. **[Adapting Sequence Models for Sentence Correction](https://md.research.elamur.ai/free/en/papers/schmaltz-2017-adapting-sequence-models-sentence-correction/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Allen Schmaltz, Yoon Kim, Alexander Rush, et al.*2017 · 77 citations*
27. **[Kori: Interactive Synthesis of Text and Charts in Data Documents ↗](https://doi.org/10.1109/tvcg.2021.3114802) IEEE Transactions on Visualization and Computer Graphics · no summary yet**Shahid Latif et al.*2021 · 71 citations*
28. **[Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement ↗](https://arxiv.org/abs/2310.08559) arXiv (Cornell University) · no summary yet**Linlu Qiu et al.*2023 · 64 citations*
29. **[Avoiding Latent Variable Collapse With Generative Skip Models ↗](https://arxiv.org/abs/1807.04863) arXiv (Cornell University) · no summary yet**Adji Bousso Dieng et al.*2018 · 61 citations*
30. **[VALHALLA: Visual Hallucination for Machine Translation ↗](https://doi.org/10.1109/cvpr52688.2022.00515) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Yi Li et al.*2022 · 58 citations*
31. **[Sentence-Level Grammatical Error Identification as Sequence-to-Sequence Correction ↗](https://aclanthology.org/W16-0528/) Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications · no summary yet**Allen Schmaltz et al.*2016 · 57 citations*
32. **[Spatio-temporal edge-based median filtering for deinterlacing ↗](https://doi.org/10.1109/icce.2000.854493) International Conference on Consumer Electronics · no summary yet**Hyo-Sub Oh et al.*2000 · 56 citations*
33. **[Adversarially Regularized Autoencoders for Generating Discrete Structures. ↗](https://arxiv.org/abs/1706.04223) arXiv (Cornell University) · no summary yet**Junbo Zhao et al.*2017 · 52 citations*
34. **[A video camera system with enhanced zoom tracking and auto white balance ↗](https://doi.org/10.1109/tce.2002.1037024) IEEE Transactions on Consumer Electronics · no summary yet**Yoon Kim et al.*2002 · 44 citations*
35. **[SAIL: Search-Augmented Instruction Learning ↗](https://arxiv.org/abs/2305.15225) arXiv:2305.15225 · no summary yet**Hongyin Luo et al.*2023 · 43 citations*
36. **[A Tutorial on Deep Latent Variable Models of Natural Language ↗](https://arxiv.org/abs/1812.06834) arXiv (Cornell University) · no summary yet**Yoon Kim, Sam Wiseman, Alexander M. Rush*2018 · 42 citations*
37. **[Co-training Improves Prompt-based Learning for Large Language Models ↗](https://arxiv.org/abs/2202.00828) arXiv (Cornell University) · no summary yet**Hunter Lang et al.*2022 · 41 citations*
38. **[The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities ↗](https://arxiv.org/abs/2411.04986) arXiv (Cornell University) · no summary yet**Zhaofeng Wu et al.*2024 · 40 citations*
39. **[LQ-LoRA: Low-rank Plus Quantized Matrix Decomposition for Efficient Language Model Finetuning ↗](https://arxiv.org/abs/2311.12023) arXiv:2311.12023 · no summary yet**Han Guo et al.*2023 · 39 citations*
40. **[In-Context Language Learning: Architectures and Algorithms ↗](https://arxiv.org/abs/2401.12973) arXiv (Cornell University) · no summary yet**Ekin Akyürek et al.*2024 · 37 citations*
41. **[Vision-Language Models Do Not Understand Negation ↗](https://doi.org/10.1109/cvpr52734.2025.02757) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Kumail Alhamoud et al.*2025 · 36 citations*
42. **[The Surprising Effectiveness of Test-Time Training for Few-Shot Learning ↗](https://arxiv.org/abs/2411.07279) arXiv:2411.07279 · no summary yet**Ekin Akyürek et al.*2024 · 36 citations*
43. **[Training-Free Activation Sparsity in Large Language Models ↗](https://arxiv.org/abs/2408.14690) arXiv (Cornell University) · no summary yet**James Liu et al.*2024 · 35 citations*
44. **[Learning to Decode Collaboratively with Multiple Language Models ↗](https://aclanthology.org/2024.acl-long.701/) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Zejiang Shen et al.*2024 · 35 citations*
45. **[CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMs' Mathematical Reasoning Capabilities ↗](https://aclanthology.org/2024.findings-acl.785/) Findings of the Association for Computational Linguistics: ACL 2024 · no summary yet**Yujun Mao, Yoon Kim, Yilun Zhou*2024 · 34 citations*
46. **[LangNav: Language as a Perceptual Representation for Navigation ↗](https://aclanthology.org/2024.findings-naacl.60/) Findings of the Association for Computational Linguistics: NAACL 2024 · no summary yet**Bowen Pan et al.*2024 · 32 citations*
47. **[Search Augmented Instruction Learning ↗](https://aclanthology.org/2023.findings-emnlp.242/) Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yet**Hongyin Luo et al.*2023 · 30 citations*
48. **[Sequence-to-Sequence Learning with Latent Neural Grammars ↗](https://arxiv.org/abs/2109.01135) arXiv (Cornell University) · no summary yet**Yoon Kim*2021 · 30 citations*
49. **[Learning to Grow Pretrained Models for Efficient Transformer Training ↗](https://arxiv.org/abs/2303.00980) arXiv (Cornell University) · no summary yet**Peihao Wang et al.*2023 · 28 citations*
50. **[Inducing and Using Alignments for Transition-based AMR Parsing ↗](https://aclanthology.org/2022.naacl-main.80/) Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Andrew Drozdov et al.*2022 · 26 citations*
51. **[Beyond Binary Rewards: Training LMs to Reason About Their Uncertainty ↗](https://arxiv.org/abs/2507.16806) arXiv (Cornell University) · no summary yet**Mehul Damani et al.*2025 · 24 citations*
52. **[Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models ↗](https://aclanthology.org/2024.naacl-long.153/) Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yet**Yue Zhou et al.*2024 · 23 citations*
53. **[Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models ↗](https://aclanthology.org/2021.repl4nlp-1.27/) Proceedings of the 6th Workshop on Representation Learning for NLP (RepL4NLP-2021) · no summary yet**Matteo Alleman et al.*2021 · 22 citations*
54. **[Probing for Incremental Parse States in Autoregressive Language Models ↗](https://aclanthology.org/2022.findings-emnlp.203/) Findings of the Association for Computational Linguistics: EMNLP 2022 · no summary yet**Tiwalayo Eisape et al.*2022 · 21 citations*
55. **[Emergence of Separable Manifolds in Deep Language Representations ↗](https://arxiv.org/abs/2006.01095) arXiv (Cornell University) · no summary yet**Mamou, Jonathan et al.*2020 · 21 citations*
56. **[Credibility Adjusted Term Frequency: A Supervised Term Weighting Scheme for Sentiment Analysis and Text Classification ↗](https://aclanthology.org/W14-2614/) Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis · no summary yet**Yoon Kim, Owen Zhang*2014 · 19 citations*
57. **[Wireless measurement based resource allocation for QoS provisioning over IEEE 802.11 wireless LAN ↗](https://doi.org/10.1109/tce.2003.1233784) IEEE Transactions on Consumer Electronics · no summary yet**Jae-Young Pyun et al.*2003 · 19 citations*
58. **[Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment ↗](https://aclanthology.org/2024.emnlp-main.79/) Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yet**Zhaofeng Wu et al.*2024 · 17 citations*
59. **[Natural Language Embedded Programs for Hybrid Language Symbolic Reasoning ↗](https://aclanthology.org/2024.findings-naacl.259/) Findings of the Association for Computational Linguistics: NAACL 2024 · no summary yet**Tianhua Zhang et al.*2024 · 16 citations*
60. **[Explain-then-translate: an analysis on improving program translation with self-generated explanations ↗](https://aclanthology.org/2023.findings-emnlp.119/) Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yet**Zilu Tang et al.*2023 · 16 citations*
61. **[Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field ↗](https://doi.org/10.1007/978-3-030-87237-3_35) Lecture notes in computer science · no summary yet**Stanislav Lukyanenko et al.*2021 · 15 citations*
62. **[Can You Learn Semantics Through Next-Word Prediction? The Case of Entailment ↗](https://aclanthology.org/2024.findings-acl.161/) Findings of the Association for Computational Linguistics: ACL 2024 · no summary yet**William Merrill et al.*2024 · 13 citations*
63. **[Empirical Study of the Benefits of Overparameterization in Learning Latent Variable Models ↗](https://arxiv.org/abs/1907.00030) arXiv (Cornell University) · no summary yet**Rares-Darius Buhai et al.*2019 · 12 citations*
64. **[Variable Speed Limit to Improve Safety near Traffic Congestion on Urban Freeways ↗](https://doi.org/10.30000/ijfs.201206.0012) International Journal of Fuzzy Systems · no summary yet**Youngtae Jo, Yoon Kim, Inbum Jung*2012 · 11 citations*
65. **[What Do Language Models Hear? Probing for Auditory Representations in Language Models ↗](https://aclanthology.org/2024.acl-long.297/) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Jerry Ngo, Yoon Kim*2024 · 10 citations*
66. **[Diversity Measurement and Subset Selection for Instruction Tuning Datasets ↗](https://arxiv.org/abs/2402.02318) arXiv (Cornell University) · no summary yet**Peiqi Wang et al.*2024 · 10 citations*
67. **[Towards Verifiable Text Generation with Symbolic References ↗](https://arxiv.org/abs/2311.09188) arXiv (Cornell University) · no summary yet**Lucas Torroba Hennigen et al.*2023 · 10 citations*
68. **[Hierarchical Phrase-Based Sequence-to-Sequence Learning ↗](https://aclanthology.org/2022.emnlp-main.563/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Bailin Wang et al.*2022 · 9 citations*
69. **[Amortized Bethe Free Energy Minimization for Learning MRFs ↗](https://arxiv.org/abs/1906.06399) arXiv (Cornell University) · no summary yet**Sam Wiseman, Yoon Kim*2019 · 8 citations*
70. **[Mitigating the Impact of Outlier Channels for Language Model Quantization with Activation Regularization ↗](https://arxiv.org/abs/2404.03605) arXiv:2404.03605 · no summary yet**Aniruddha Nrusimha et al.*2024 · 6 citations*
71. **[Entailment as Robust Self-Learner ↗](https://aclanthology.org/2023.acl-long.772/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Jiaxin Ge et al.*2023 · 6 citations*
72. **[Unsupervised Discontinuous Constituency Parsing with Mildly Context-Sensitive Grammars ↗](https://aclanthology.org/2023.acl-long.316/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Songlin Yang, Roger Levy, Yoon Kim*2023 · 6 citations*
73. **[Deep Latent Variable Models of Natural Language ↗](https://openalex.org/W3088495471) Empirical Methods in Natural Language Processing · no summary yet**Alexander M. Rush, Yoon Kim, Sam Wiseman*2018 · 6 citations*
74. **[A video camera system with adaptive zoom tracking ↗](https://doi.org/10.1109/icce.2002.1013925) International Conference on Consumer Electronics · no summary yet**June-Sok Lee et al.*2002 · 6 citations*
75. **[Deriving Language Models from Masked Language Models ↗](https://aclanthology.org/2023.acl-short.99/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yet**Lucas Torroba Hennigen, Yoon Kim*2023 · 5 citations*
76. **[Audio-Visual Neural Syntax Acquisition ↗](https://doi.org/10.1109/asru57964.2023.10389619) IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) · no summary yet**Cheng-I Lai et al.*2023 · 5 citations*
77. **[Resource consumption-aware QoS in cluster-based VOD servers ↗](https://doi.org/10.1016/j.sysarc.2006.07.003) Journal of Systems Architecture · no summary yet**Dongmahn Seo et al.*2006 · 5 citations*
78. **[Simple Hardware-Efficient PCFGs with Independent Left and Right Productions ↗](https://aclanthology.org/2023.findings-emnlp.113/) Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yet**Wei Liu et al.*2023 · 4 citations*
79. **[A Novel De-interlacing Technique Using Bi-directional Motion Estimation ↗](https://doi.org/10.1007/3-540-44839-x_101) Lecture notes in computer science · no summary yet**Yoon Kim et al.*2003 · 4 citations*
80. **[FlashFormer: Whole-Model Kernels for Efficient Low-Batch Inference ↗](https://arxiv.org/abs/2505.22758) arXiv (Cornell University) · no summary yet**Aniruddha Nrusimha et al.*2025 · 3 citations*
81. **[On the Same Wavelength? Evaluating Pragmatic Reasoning in Language Models across Broad Concepts ↗](https://aclanthology.org/2025.emnlp-main.1008/) Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yet**Linlu Qiu et al.*2025 · 3 citations*
82. **[reWordBench: Benchmarking and Improving the Robustness of Reward Models with Transformed Inputs ↗](https://aclanthology.org/2025.emnlp-main.167/) Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yet**Zhaofeng Wu et al.*2025 · 3 citations*
83. **[Improving Black-box Robustness with In-Context Rewriting ↗](https://arxiv.org/abs/2402.08225) arXiv (Cornell University) · no summary yet**Kyle O'Brien et al.*2024 · 3 citations*
84. **[Controlling the Focus of Pretrained Language Generation Models ↗](https://aclanthology.org/2022.findings-acl.260/) Findings of the Association for Computational Linguistics: ACL 2022 · no summary yet**Jiabao Ji et al.*2022 · 3 citations*
85. **[Learning to Interpret Weight Differences in Language Models ↗](https://arxiv.org/abs/2510.05092) arXiv (Cornell University) · no summary yet**Avichal Goel et al.*2025 · 2 citations*
86. **[Structured Code Representations Enable Data-Efficient Adaptation of Code Language Models ↗](https://arxiv.org/abs/2401.10716) arXiv (Cornell University) · no summary yet**Mayank Agarwal et al.*2024 · 2 citations*
87. **[Global Reward to Local Rewards: Multimodal-Guided Decomposition for Improving Dialogue Agents ↗](https://aclanthology.org/2024.emnlp-main.881/) Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yet**Dong Won Lee et al.*2024 · 2 citations*
88. **[FTTX Worldwide Deployment ↗](https://doi.org/10.1016/b978-0-12-396960-6.00029-8) Elsevier eBooks · no summary yet**Vincent A. O'Byrne et al.*2013 · 2 citations*
89. **[Load Distribution Method and Admission control for Streaming Media QoS in Distributed Transcoding Servers ↗](https://doi.org/10.1109/iccsa.2007.21) International Conference on Computational Science and Its Applications · no summary yet**Nan-Sook Heo et al.*2007 · 2 citations*
90. **[Rate Control for Low Bit Rate Video via Enhanced Frame Skipping ↗](https://doi.org/10.1007/3-540-44839-x_33) Lecture notes in computer science · no summary yet**Jae-Young Pyun, Yoon Kim, Sung-Jea Ko*2003 · 2 citations*
91. **[MDCR: A Dataset for Multi-Document Conditional Reasoning ↗](https://aclanthology.org/2024.findings-emnlp.667/) Findings of the Association for Computational Linguistics: EMNLP 2024 · no summary yet**Peter Baile Chen et al.*2024 · 1 citation*
92. **[Improving Dialogue Agents by Decomposing One Global Explicit Annotation with Local Implicit Multimodal Feedback ↗](https://arxiv.org/abs/2403.11330) arXiv (Cornell University) · no summary yet**Dong Won Lee et al.*2024 · 1 citation*
93. **[Alignment via Mutual Information ↗](https://aclanthology.org/2023.conll-1.32/) Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL) · no summary yet**Shinjini Ghosh et al.*2023 · 1 citation*
94. **[Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach ↗](https://arxiv.org/abs/2302.04228) arXiv (Cornell University) · no summary yet**Han Wen Guo et al.*2023 · 1 citation*
95. **[A Combined Model of Outline Feature Map and CNN for Detection of People at the Beach ↗](https://doi.org/10.5626/jok.2019.46.1.31) Journal of KIISE · no summary yet**Gwi-Seong Moon, Yoon Kim*2019 · 1 citation*
96. **[Quorum Based Mutual Exclusion in Asynchronous Systems with Unreliable Failure Detectors ↗](https://doi.org/10.1109/itng.2010.236) International Conference on Information Technology: New Generations · no summary yet**Sung Hoon Park et al.*2010 · 1 citation*
97. **[An Image Magnification Using Adaptive Interpolation Based Sub-pixel ↗](https://openalex.org/W2398993386) Journal of the Institute of Electronics Engineers of Korea · no summary yet**Dae-Hyun Park, Jea-Wook Yoo, Yoon Kim*2008 · 1 citation*
98. **[An Image Interpolation by Adaptive Parametric Cubic Convolution ↗](https://openalex.org/W207270896) Journal of the Korea Society of Computer and Information · no summary yet**Jea-Wook Yoo, 박대현, Yoon Kim*2008 · 1 citation*
99. **[Improved POCS-Based Deblocking Technique Using Wavelet Transform in Block Coded Image ↗](https://doi.org/10.1007/11922162_78) Lecture notes in computer science · no summary yet**Goo‐Rak Kwon et al.*2006 · 1 citation*
100. **[Thin-Client Computing for Supporting the QoS of Streaming Media in Mobile Devices ↗](https://doi.org/10.1007/11751588_59) Lecture notes in computer science · no summary yet**Joa-Hyoung Lee et al.*2006 · 1 citation*

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