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ORCIDHonglak Lee
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- affiliation: University of Michigan, Ann Arbor, USA
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2020 – today
- 2024
[c184]Sungmin Cha, Sungjun Cho, Dasol Hwang, Honglak Lee, Taesup Moon, Moontae Lee:
Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers. AAAI 2024: 11186-11194- [c183]Jongwook Choi, Sungtae Lee, Xinyu Wang, Sungryull Sohn, Honglak Lee:
Unsupervised Object Interaction Learning with Counterfactual Dynamics Models. AAAI 2024: 11570-11578 - [c182]Nakyeong Yang, Taegwan Kang, Stanley Jungkyu Choi, Honglak Lee, Kyomin Jung:
Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination. ACL (1) 2024: 9061-9073 - [c181]Janghoon Han, Changho Lee, Joongbo Shin, Stanley Jungkyu Choi, Honglak Lee, Kyunghoon Bae:
Deep Exploration of Cross-Lingual Zero-Shot Generalization in Instruction Tuning. ACL (Findings) 2024: 15436-15452 - [c180]Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Jaekyeom Kim, Moontae Lee, Honglak Lee, Lu Wang:
Small Language Models Need Strong Verifiers to Self-Correct Reasoning. ACL (Findings) 2024: 15637-15653 - [c179]Byoungjip Kim, Dasol Hwang, Sungjun Cho, Youngsoo Jang, Honglak Lee, Moontae Lee:
Show, Think, and Tell: Thought-Augmented Fine-Tuning of Large Language Models for Video Captioning. CVPR Workshops 2024: 1808-1817 - [c178]Cheng Jiang, Alexander Gedeon, Yiwei Lyu, Eric Landgraf, Yufeng Zhang, Xinhai Hou, Akhil Kondepudi, Asadur Chowdury, Honglak Lee, Todd C. Hollon:
Super-resolution of biomedical volumes with 2D supervision. CVPR Workshops 2024: 6966-6977 - [c177]Taehoon Kim, Pyunghwan Ahn, Sangyun Kim, Sihaeng Lee, Mark Marsden, Alessandra Sala, Seung Hwan Kim, Bohyung Han, Kyoung Mu Lee, Honglak Lee, Kyounghoon Bae, Xiangyu Wu, Yi Gao, Hailiang Zhang, Yang Yang, Weili Guo, Jianfeng Lu, Youngtaek Oh, Jae-Won Cho, Dong-Jin Kim, In So Kweon, Junmo Kim, Wooyoung Kang, Won Young Jhoo, Byungseok Roh, Jonghwan Mun, Solgil Oh, Kenan Emir Ak, Gwang-Gook Lee, Yan Xu, Mingwei Shen, Kyomin Hwang, Wonsik Shin, Kamin Lee, Wonhark Park, Dongkwan Lee, Nojun Kwak, Yujin Wang, Yimu Wang, Tiancheng Gu, Xingchang Lv, Mingmao Sun:
NICE: CVPR 2023 Challenge on Zero-shot Image Captioning. CVPR Workshops 2024: 7356-7365 - [c176]Tiange Luo, Justin Johnson, Honglak Lee:
View Selection for 3D Captioning via Diffusion Ranking. ECCV (31) 2024: 180-197 - [c175]Byoungjip Kim, Youngsoo Jang, Lajanugen Logeswaran, Geon-Hyeong Kim, Yu Jin Kim, Honglak Lee, Moontae Lee:
Prospector: Improving LLM Agents with Self-Asking and Trajectory Ranking. EMNLP (Findings) 2024: 14958-14976 - [c174]Jaekyeom Kim, Dong-Ki Kim, Lajanugen Logeswaran, Sungryull Sohn, Honglak Lee:
Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents. EMNLP (Findings) 2024: 16531-16541 - [c173]Changho Lee, Janghoon Han, Seonghyeon Ye, Stanley Jungkyu Choi, Honglak Lee, Kyunghoon Bae:
Instruction Matters: A Simple yet Effective Task Selection for Optimized Instruction Tuning of Specific Tasks. EMNLP 2024: 18620-18642 - [c172]Youngsoo Jang, Geon-Hyeong Kim, Byoungjip Kim, Yu Jin Kim, Honglak Lee, Moontae Lee:
Degeneration-free Policy Optimization: RL Fine-Tuning for Language Models without Degeneration. ICML 2024 - [c171]Siqi Shen, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Soujanya Poria, Rada Mihalcea:
Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense. NAACL-HLT 2024: 5668-5680 - [c170]Lajanugen Logeswaran, Sungryull Sohn, Yiwei Lyu, Anthony Z. Liu, Dong-Ki Kim, Dongsub Shim, Moontae Lee, Honglak Lee:
Code Models are Zero-shot Precondition Reasoners. NAACL-HLT 2024: 5681-5697 - [i155]Xinhai Hou, Cheng Jiang, Akhil Kondepudi, Yiwei Lyu, Asadur Zaman Chowdury, Honglak Lee, Todd C. Hollon
:
A self-supervised framework for learning whole slide representations. CoRR abs/2402.06188 (2024) - [i154]Yao Fu, Dong-Ki Kim, Jaekyeom Kim, Sungryull Sohn, Lajanugen Logeswaran, Kyunghoon Bae, Honglak Lee:
AutoGuide: Automated Generation and Selection of State-Aware Guidelines for Large Language Model Agents. CoRR abs/2403.08978 (2024) - [i153]Yiwei Lyu, Sung Jik Cha, Cheng Jiang, Asadur Chowdury, Xinhai Hou, Edward S. Harake, Akhil Kondepudi, Christian W. Freudiger, Honglak Lee, Todd C. Hollon:
Step-Calibrated Diffusion for Biomedical Optical Image Restoration. CoRR abs/2403.13680 (2024) - [i152]Muhammad Khalifa, David Wadden, Emma Strubell, Honglak Lee, Lu Wang, Iz Beltagy, Hao Peng:
Source-Aware Training Enables Knowledge Attribution in Language Models. CoRR abs/2404.01019 (2024) - [i151]Tiange Luo, Justin Johnson, Honglak Lee:
View Selection for 3D Captioning via Diffusion Ranking. CoRR abs/2404.07984 (2024) - [i150]Cheng Jiang, Alexander Gedeon, Yiwei Lyu, Eric Landgraf, Yufeng Zhang, Xinhai Hou, Akhil Kondepudi, Asadur Chowdury, Honglak Lee, Todd C. Hollon:
Super-resolution of biomedical volumes with 2D supervision. CoRR abs/2404.09425 (2024) - [i149]Changho Lee, Janghoon Han, Seonghyeon Ye, Stanley Jungkyu Choi, Honglak Lee, Kyunghoon Bae:
Instruction Matters, a Simple yet Effective Task Selection Approach in Instruction Tuning for Specific Tasks. CoRR abs/2404.16418 (2024) - [i148]Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Jaekyeom Kim, Moontae Lee, Honglak Lee, Lu Wang:
Small Language Models Need Strong Verifiers to Self-Correct Reasoning. CoRR abs/2404.17140 (2024) - [i147]Siqi Shen, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Soujanya Poria, Rada Mihalcea:
Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense. CoRR abs/2405.04655 (2024) - [i146]Xingjian Zhang, Yutong Xie, Jin Huang, Jinge Ma, Zhaoying Pan, Qijia Liu, Ziyang Xiong, Tolga Ergen, Dongsub Shim, Honglak Lee, Qiaozhu Mei:
MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows. CoRR abs/2406.06357 (2024) - [i145]Janghoon Han, Changho Lee, Joongbo Shin, Stanley Jungkyu Choi, Honglak Lee, Kyunghoon Bae:
Deep Exploration of Cross-Lingual Zero-Shot Generalization in Instruction Tuning. CoRR abs/2406.08796 (2024) - [i144]Soyoung An, Kyunghoon Bae, Eunbi Choi, Stanley Jungkyu Choi, Yemuk Choi, Seokhee Hong, Yeonjung Hong, Junwon Hwang, Hyojin Jeon, Gerrard Jeongwon Jo, Hyunjik Jo, Jiyeon Jung, Yountae Jung, Euisoon Kim, Hyosang Kim, Joonkee Kim, Seonghwan Kim, Soyeon Kim, Sunkyoung Kim, Yireun Kim, Youchul Kim, Edward Hwayoung Lee, Haeju Lee, Honglak Lee, Jinsik Lee, Kyungmin Lee, Moontae Lee, Seungjun Lee, Woohyung Lim, Sangha Park, Sooyoun Park, Yongmin Park, Boseong Seo, Sihoon Yang, Heuiyeen Yeen, Kyungjae Yoo, Hyeongu Yun:
EXAONE 3.0 7.8B Instruction Tuned Language Model. CoRR abs/2408.03541 (2024) - [i143]Jaekyeom Kim, Dong-Ki Kim, Lajanugen Logeswaran, Sungryull Sohn, Honglak Lee:
Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents. CoRR abs/2410.22552 (2024) - [i142]Anthony Z. Liu, Xinhe Wang, Jacob Sansom, Yao Fu, Jongwook Choi, Sungryull Sohn, Jaekyeom Kim, Honglak Lee:
Interactive and Expressive Code-Augmented Planning with Large Language Models. CoRR abs/2411.13826 (2024) - [i141]Muhammad Khalifa, Yi Chern Tan, Arash Ahmadian, Tom Hosking, Honglak Lee, Lu Wang, Ahmet Üstün, Tom Sherborne, Matthias Gallé:
If You Can't Use Them, Recycle Them: Optimizing Merging at Scale Mitigates Performance Tradeoffs. CoRR abs/2412.04144 (2024) - [i140]LG AI Research, Soyoung An, Kyunghoon Bae, Eunbi Choi, Kibong Choi, Stanley Jungkyu Choi, Seokhee Hong, Junwon Hwang, Hyojin Jeon, Gerrard Jeongwon Jo, Hyunjik Jo, Jiyeon Jung, Yountae Jung, Hyosang Kim, Joonkee Kim, Seonghwan Kim, Soyeon Kim, Sunkyoung Kim, Yireun Kim, Yongil Kim, Youchul Kim, Edward Hwayoung Lee, Haeju Lee, Honglak Lee, Jinsik Lee, Kyungmin Lee, Woohyung Lim, Sangha Park, Sooyoun Park, Yongmin Park, Sihoon Yang, Heuiyeen Yeen, Hyeongu Yun:
EXAONE 3.5: Series of Large Language Models for Real-world Use Cases. CoRR abs/2412.04862 (2024) - 2023
- [j5]Tiange Luo, Honglak Lee, Justin Johnson:
Neural Shape Compiler: A Unified Framework for Transforming between Text, Point Cloud, and Program. Trans. Mach. Learn. Res. 2023 (2023) - [c169]Jing Yu Koh, Harsh Agrawal, Dhruv Batra, Richard Tucker, Austin Waters, Honglak Lee, Yinfei Yang, Jason Baldridge, Peter Anderson:
Simple and Effective Synthesis of Indoor 3D Scenes. AAAI 2023: 1169-1178 - [c168]Sung Moon Ko, Sungjun Cho, Dae-Woong Jeong, Sehui Han, Moontae Lee, Honglak Lee:
Grouping Matrix Based Graph Pooling with Adaptive Number of Clusters. AAAI 2023: 8334-8342 - [c167]Lajanugen Logeswaran, Wilka Carvalho, Honglak Lee:
Learning Compositional Tasks from Language Instructions. AAAI 2023: 13300-13308 - [c166]Lajanugen Logeswaran, Sungryull Sohn, Yunseok Jang, Moontae Lee, Honglak Lee:
Unsupervised Task Graph Generation from Instructional Video Transcripts. ACL (Findings) 2023: 3392-3406 - [c165]Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang:
Few-shot Reranking for Multi-hop QA via Language Model Prompting. ACL (1) 2023: 15882-15897 - [c164]Cheng Jiang, Xinhai Hou, Akhil Kondepudi, Asadur Chowdury, Christian W. Freudiger, Daniel A. Orringer, Honglak Lee, Todd C. Hollon:
Hierarchical Discriminative Learning Improves Visual Representations of Biomedical Microscopy. CVPR 2023: 19798-19808 - [c163]Sungryull Sohn, Yiwei Lyu, Anthony Z. Liu, Lajanugen Logeswaran, Dong-Ki Kim, Dongsub Shim, Honglak Lee:
TOD-Flow: Modeling the Structure of Task-Oriented Dialogues. EMNLP 2023: 3355-3371 - [c162]Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang:
Merging Generated and Retrieved Knowledge for Open-Domain QA. EMNLP 2023: 4710-4728 - [c161]Zheyuan Zhang, Shane Storks, Fengyuan Hu, Sungryull Sohn, Moontae Lee, Honglak Lee, Joyce Chai:
From Heuristic to Analytic: Cognitively Motivated Strategies for Coherent Physical Commonsense Reasoning. EMNLP 2023: 7354-7379 - [c160]Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang:
GRACE: Discriminator-Guided Chain-of-Thought Reasoning. EMNLP (Findings) 2023: 15299-15328 - [c159]Anthony Z. Liu, Lajanugen Logeswaran, Sungryull Sohn, Honglak Lee:
A Picture is Worth a Thousand Words: Language Models Plan from Pixels. EMNLP 2023: 16450-16459 - [c158]Hyungjun Lim, Younggwan Kim, Kiho Yeom, Eunjoo Seo, Hoodong Lee, Stanley Jungkyu Choi, Honglak Lee:
Lightweight Feature Encoder for Wake-Up Word Detection Based on Self-Supervised Speech Representation. ICASSP 2023: 1-5 - [c157]Daechul Ahn, Daneul Kim, Gwangmo Song, Seung Hwan Kim, Honglak Lee, Dongyeop Kang, Jonghyun Choi:
Story Visualization by Online Text Augmentation with Context Memory. ICCV 2023: 3102-3112 - [c156]Wilka Carvalho, Angelos Filos, Richard L. Lewis, Honglak Lee, Satinder Singh:
Composing Task Knowledge With Modular Successor Feature Approximators. ICLR 2023 - [c155]Changyeon Kim, Jongjin Park, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee:
Preference Transformer: Modeling Human Preferences using Transformers for RL. ICLR 2023 - [c154]Yao Fu, Run Peng, Honglak Lee:
Go Beyond Imagination: Maximizing Episodic Reachability with World Models. ICML 2023: 10405-10420 - [c153]Younggwan Kim, Hyungjun Lim, Kiho Yeom, Eunjoo Seo, Hoodong Lee, Stanley Jungkyu Choi, Honglak Lee:
Investigation of Training Mute-Expressive End-to-End Speech Separation Networks for an Unknown Number of Speakers. INTERSPEECH 2023: 3764-3768 - [c152]Wilka Carvalho, Andre Saraiva, Angelos Filos, Andrew K. Lampinen, Loic Matthey, Richard L. Lewis, Honglak Lee, Satinder Singh, Danilo Jimenez Rezende, Daniel Zoran:
Combining Behaviors with the Successor Features Keyboard. NeurIPS 2023 - [c151]Sungik Choi, Hankook Lee, Honglak Lee, Moontae Lee:
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models. NeurIPS 2023 - [c150]Youngsoo Jang, Geon-Hyeong Kim, Jongmin Lee, Sungryull Sohn, Byoungjip Kim, Honglak Lee, Moontae Lee:
SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations. NeurIPS 2023 - [c149]Changyeon Kim, Younggyo Seo, Hao Liu, Lisa Lee, Jinwoo Shin, Honglak Lee, Kimin Lee:
Guide Your Agent with Adaptive Multimodal Rewards. NeurIPS 2023 - [c148]Tiange Luo, Chris Rockwell, Honglak Lee, Justin Johnson:
Scalable 3D Captioning with Pretrained Models. NeurIPS 2023 - [c147]Sihan Xu, Ziqiao Ma, Yidong Huang, Honglak Lee, Joyce Chai:
CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation. NeurIPS 2023 - [c146]Yiwei Lyu, Tiange Luo, Jiacheng Shi, Todd C. Hollon, Honglak Lee:
Fine-grained Text Style Transfer with Diffusion-Based Language Models. RepL4NLP@ACL 2023: 65-74 - [c145]Jinsu Yoo, Taehoon Kim, Sihaeng Lee, Seung Hwan Kim, Honglak Lee, Tae Hyun Kim:
Enriched CNN-Transformer Feature Aggregation Networks for Super-Resolution. WACV 2023: 4945-4954 - [i139]Byoungjip Kim, Sungik Choi, Dasol Hwang, Moontae Lee, Honglak Lee:
Transferring Pre-trained Multimodal Representations with Cross-modal Similarity Matching. CoRR abs/2301.02903 (2023) - [i138]Sungmin Cha, Sungjun Cho, Dasol Hwang, Honglak Lee, Taesup Moon, Moontae Lee:
Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers. CoRR abs/2301.11578 (2023) - [i137]Wilka Carvalho, Angelos Filos, Richard L. Lewis, Honglak Lee, Satinder Singh:
Composing Task Knowledge with Modular Successor Feature Approximators. CoRR abs/2301.12305 (2023) - [i136]Yunseok Jang, Sungryull Sohn, Lajanugen Logeswaran, Tiange Luo, Moontae Lee, Honglak Lee:
Multimodal Subtask Graph Generation from Instructional Videos. CoRR abs/2302.08672 (2023) - [i135]Lajanugen Logeswaran, Sungryull Sohn, Yunseok Jang, Moontae Lee, Honglak Lee:
Unsupervised Task Graph Generation from Instructional Video Transcripts. CoRR abs/2302.09173 (2023) - [i134]Changyeon Kim, Jongjin Park, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee:
Preference Transformer: Modeling Human Preferences using Transformers for RL. CoRR abs/2303.00957 (2023) - [i133]Cheng Jiang, Xinhai Hou, Akhil Kondepudi, Asadur Chowdury, Christian W. Freudiger, Daniel A. Orringer, Honglak Lee, Todd C. Hollon:
Hierarchical discriminative learning improves visual representations of biomedical microscopy. CoRR abs/2303.01605 (2023) - [i132]Hyungjun Lim, Younggwan Kim, Kiho Yeom, Eunjoo Seo, Hoodong Lee, Stanley Jungkyu Choi, Honglak Lee:
Lightweight feature encoder for wake-up word detection based on self-supervised speech representation. CoRR abs/2303.07592 (2023) - [i131]Anthony Z. Liu, Lajanugen Logeswaran, Sungryull Sohn, Honglak Lee:
A Picture is Worth a Thousand Words: Language Models Plan from Pixels. CoRR abs/2303.09031 (2023) - [i130]Todd C. Hollon, Cheng Jiang, Asadur Chowdury, Mustafa Nasir-Moin, Akhil Kondepudi, Alexander Aabedi, Arjun Adapa, Wajd Al-Holou, Jason Heth, Oren Sagher, Pedro Lowenstein, Maria Castro, Lisa Irina Wadiura, Georg Widhalm, Volker Neuschmelting, David Reinecke, Niklas von Spreckelsen, Mitchel S. Berger, Shawn Hervey-Jumper, John G. Golfinos, Matija Snuderl, Sandra Camelo-Piragua, Christian W. Freudiger, Honglak Lee, Daniel A. Orringer:
Artificial-intelligence-based molecular classification of diffuse gliomas using rapid, label-free optical imaging. CoRR abs/2303.13610 (2023) - [i129]Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang:
Discriminator-Guided Multi-step Reasoning with Language Models. CoRR abs/2305.14934 (2023) - [i128]Yiwei Lyu, Tiange Luo, Jiacheng Shi, Todd C. Hollon, Honglak Lee:
Fine-grained Text Style Transfer with Diffusion-Based Language Models. CoRR abs/2305.19512 (2023) - [i127]Tiange Luo, Chris Rockwell, Honglak Lee, Justin Johnson:
Scalable 3D Captioning with Pretrained Models. CoRR abs/2306.07279 (2023) - [i126]Daechul Ahn, Daneul Kim, Gwangmo Song, Seung Hwan Kim, Honglak Lee, Dongyeop Kang, Jonghyun Choi:
Story Visualization by Online Text Augmentation with Context Memory. CoRR abs/2308.07575 (2023) - [i125]Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang:
Exploring Demonstration Ensembling for In-context Learning. CoRR abs/2308.08780 (2023) - [i124]Yao Fu, Run Peng, Honglak Lee:
Go Beyond Imagination: Maximizing Episodic Reachability with World Models. CoRR abs/2308.13661 (2023) - [i123]Taehoon Kim, Pyunghwan Ahn, Sangyun Kim, Sihaeng Lee, Mark Marsden, Alessandra Sala, Seung Hwan Kim, Bohyung Han, Kyoung Mu Lee, Honglak Lee, Kyounghoon Bae, Xiangyu Wu, Yi Gao, Hailiang Zhang, Yang Yang, Weili Guo, Jianfeng Lu, Youngtaek Oh, Jae-Won Cho, Dong-Jin Kim, In So Kweon, Junmo Kim, Woo-Young Kang, Won Young Jhoo, Byungseok Roh, Jonghwan Mun, Solgil Oh, Kenan Emir Ak, Gwang-Gook Lee, Yan Xu, Mingwei Shen, Kyomin Hwang, Wonsik Shin, Kamin Lee, Wonhark Park, Dongkwan Lee, Nojun Kwak, Yujin Wang, Yimu Wang, Tiancheng Gu, Xingchang Lv, Mingmao Sun:
NICE: CVPR 2023 Challenge on Zero-shot Image Captioning. CoRR abs/2309.01961 (2023) - [i122]Sungjun Cho, Dae-Woong Jeong, Sung Moon Ko, Jinwoo Kim, Sehui Han, Seunghoon Hong, Honglak Lee, Moontae Lee:
3D Denoisers are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation. CoRR abs/2309.04062 (2023) - [i121]Sungjun Cho, Seunghyuk Cho, Sungwoo Park, Hankook Lee, Honglak Lee, Moontae Lee:
Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning. CoRR abs/2309.04082 (2023) - [i120]Changyeon Kim, Younggyo Seo, Hao Liu, Lisa Lee, Jinwoo Shin, Honglak Lee, Kimin Lee:
Guide Your Agent with Adaptive Multimodal Rewards. CoRR abs/2309.10790 (2023) - [i119]Sihan Xu, Ziqiao Ma, Yidong Huang, Honglak Lee, Joyce Chai:
CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation. CoRR abs/2310.13165 (2023) - [i118]Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang:
Merging Generated and Retrieved Knowledge for Open-Domain QA. CoRR abs/2310.14393 (2023) - [i117]Wilka Carvalho, Andre Saraiva, Angelos Filos, Andrew Kyle Lampinen, Loic Matthey, Richard L. Lewis, Honglak Lee, Satinder Singh, Danilo J. Rezende, Daniel Zoran:
Combining Behaviors with the Successor Features Keyboard. CoRR abs/2310.15940 (2023) - [i116]Dong-Ki Kim, Sungryull Sohn, Lajanugen Logeswaran, Dongsub Shim, Honglak Lee:
MultiPrompter: Cooperative Prompt Optimization with Multi-Agent Reinforcement Learning. CoRR abs/2310.16730 (2023) - [i115]Zheyuan Zhang, Shane Storks, Fengyuan Hu, Sungryull Sohn, Moontae Lee, Honglak Lee, Joyce Chai:
From Heuristic to Analytic: Cognitively Motivated Strategies for Coherent Physical Commonsense Reasoning. CoRR abs/2310.18364 (2023) - [i114]Lajanugen Logeswaran, Sungryull Sohn, Yiwei Lyu, Anthony Zhe Liu, Dong-Ki Kim, Dongsub Shim, Moontae Lee, Honglak Lee:
Code Models are Zero-shot Precondition Reasoners. CoRR abs/2311.09601 (2023) - [i113]Sungik Choi, Hankook Lee, Honglak Lee, Moontae Lee:
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models. CoRR abs/2312.02615 (2023) - [i112]Sungryull Sohn, Yiwei Lyu, Anthony Z. Liu, Lajanugen Logeswaran, Dong-Ki Kim, Dongsub Shim, Honglak Lee:
TOD-Flow: Modeling the Structure of Task-Oriented Dialogues. CoRR abs/2312.04668 (2023) - 2022
- [c144]Yijie Guo, Qiucheng Wu, Honglak Lee:
Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks. AAAI 2022: 6792-6800 - [c143]Anthony Z. Liu, Sungryull Sohn, Mahdi Qazwini, Honglak Lee:
Learning Parameterized Task Structure for Generalization to Unseen Entities. AAAI 2022: 7534-7541 - [c142]Yuan Li, Biaoyan Fang, Jiayuan He, Hiyori Yoshikawa, Saber A. Akhondi, Christian Druckenbrodt, Camilo Thorne, Zubair Afzal, Zenan Zhai, Kojiro Machi, Masaharu Yoshioka, Youngrok Jang, Hosung Song, Junho Lee, Gyeonghun Kim, Yireun Kim, Stanley Jungkyu Choi, Honglak Lee, Kyunghoon Bae, Darshini Mahendran, Christina Tang, Bridget T. McInnes, Timothy Baldwin, Karin Verspoor:
Extended Overview of ChEMU 2022 Evaluation Campaign: Information Extraction in Chemical Patents. CLEF (Working Notes) 2022: 758-781 - [c141]Youngrok Jang, Hosung Song, Junho Lee, Gyeonghun Kim, Yireun Kim, Stanley Jungkyu Choi, Honglak Lee, Kyunghoon Bae:
Context aware Named Entity Recognition and Relation Extraction with Domain-specific language model. CLEF (Working Notes) 2022: 782-796 - [c140]Taehoon Kim, Gwangmo Song, Sihaeng Lee, Sangyun Kim, Yewon Seo, Soonyoung Lee, Seung Hwan Kim, Honglak Lee, Kyunghoon Bae:
L-Verse: Bidirectional Generation Between Image and Text. CVPR 2022: 16505-16515 - [c139]Seohong Park, Jongwook Choi, Jaekyeom Kim, Honglak Lee, Gunhee Kim:
Lipschitz-constrained Unsupervised Skill Discovery. ICLR 2022 - [c138]Jongjin Park, Younggyo Seo, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee:
SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning. ICLR 2022 - [c137]Juhwan Noh, Dae-Woong Jeong, Kiyoung Kim, Sehui Han, Moontae Lee, Honglak Lee, Yousung Jung:
Path-Aware and Structure-Preserving Generation of Synthetically Accessible Molecules. ICML 2022: 16952-16968 - [c136]Sihaeng Lee, Eojindl Yi, Janghyeon Lee, Jinsu Yoo, Honglak Lee, Seung Hwan Kim:
Fully Convolutional Transformer with Local-Global Attention. IROS 2022: 552-559 - [c135]Lajanugen Logeswaran, Yao Fu, Moontae Lee, Honglak Lee:
Few-shot Subgoal Planning with Language Models. NAACL-HLT 2022: 5493-5506 - [c134]Cheng Jiang, Asadur Chowdury, Xinhai Hou, Akhil Kondepudi, Christian W. Freudiger, Kyle Conway, Sandra Camelo-Piragua, Daniel A. Orringer, Honglak Lee, Todd C. Hollon:
OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology. NeurIPS 2022 - [c133]Sungjun Cho, Seonwoo Min, Jinwoo Kim, Moontae Lee, Honglak Lee, Seunghoon Hong:
Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost. NeurIPS 2022 - [c132]Rodrigo Hormazabal, Changyoung Park, Soonyoung Lee, Sehui Han, Yeonsik Jo, Jaewan Lee, Ahra Jo, Seung Hwan Kim, Jaegul Choo, Moontae Lee, Honglak Lee:
CEDe: A collection of expert-curated datasets with atom-level entity annotations for Optical Chemical Structure Recognition. NeurIPS 2022 - [c131]Byoungjip Kim, Sungik Choi, Dasol Hwang, Moontae Lee, Honglak Lee:
Transferring Pre-trained Multimodal Representations with Cross-modal Similarity Matching. NeurIPS 2022 - [c130]Jinwoo Kim, Dat Nguyen, Seonwoo Min, Sungjun Cho, Moontae Lee, Honglak Lee, Seunghoon Hong:
Pure Transformers are Powerful Graph Learners. NeurIPS 2022 - [c129]Janghyeon Lee, Jongsuk Kim, Hyounguk Shon, Bumsoo Kim, Seung Hwan Kim, Honglak Lee, Junmo Kim:
UniCLIP: Unified Framework for Contrastive Language-Image Pre-training. NeurIPS 2022 - [c128]Sungryull Sohn, Hyunjae Woo, Jongwook Choi, Lyubing Qiang, Izzeddin Gur, Aleksandra Faust, Honglak Lee:
Fast inference and transfer of compositional task structures for few-shot task generalization. UAI 2022: 1857-1865 - [i111]Izzeddin Gur, Natasha Jaques, Yingjie Miao, Jongwook Choi, Manoj Tiwari, Honglak Lee, Aleksandra Faust:
Environment Generation for Zero-Shot Compositional Reinforcement Learning. CoRR abs/2201.08896 (2022) - [i110]Seohong Park, Jongwook Choi, Jaekyeom Kim, Honglak Lee, Gunhee Kim:
Lipschitz-constrained Unsupervised Skill Discovery. CoRR abs/2202.00914 (2022) - [i109]Jinsu Yoo, Taehoon Kim, Sihaeng Lee, Seung Hwan Kim, Honglak Lee, Tae Hyun Kim:
Rich CNN-Transformer Feature Aggregation Networks for Super-Resolution. CoRR abs/2203.07682 (2022) - [i108]Jongjin Park, Younggyo Seo, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee:
SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning. CoRR abs/2203.10050 (2022) - [i107]Anthony Z. Liu, Sungryull Sohn, Mahdi Qazwini, Honglak Lee:
Learning Parameterized Task Structure for Generalization to Unseen Entities. CoRR abs/2203.15034 (2022) - [i106]