
Hwang, Seung-won (황승원)
Professor
Department of Computer Science and Engineering
Research Interests
- Data(-driven) intelligence, knowledge graph
- Search engines, query optimization
- Language understanding
Education
- Ph.D. in Computer Science, University of Illinois Urbana-Champaign, 2005
- M.S. in Computer Science, University of Illinois Urbana-Champaign, 2000
- B.S. in Computer Science, Korea Advanced Institute of Science and Technology, 1998
Publications
- Counterfactual-Consistency Prompting for Relative Temporal Understanding in Large Language Models, ACL 2025 (short)
Jongho Kim, Seung-won Hwang. - RoToR: Towards More Reliable Responses for Order-Invariant Inputs, ACL 2025
Soyoung Yoon, Dongha Ahn, Youngwon Lee, Minkyu Jung, HyungJoo Jang, Seung-won Hwang. - STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruning, ACL 2025
Jaeseong Lee, Seung-won Hwang, Aurick Qiao, Daniel Campos, Zhewei Yao, Yuxiong He. - ECoRAG: Evidentiality-guided Compression for Long Context RAG, Findings of ACL 2025
Yeonseok Jeong, Jinsu Kim, Dohyeon Lee, Seung-won Hwang. - Tree-of-Prompts: Abstracting Control-Flow for Prompt Optimization, Findings of ACL 2025
Jihyuk Kim, Shubham Garg, Lahari Poddar, Seung-won Hwang, Christopher Hench. - FaVe: Factored and Verified Search Rationale for Long-form Answer, Findings of ACL 2025
Jihyuk Kim, Sungjin Lee, Seung-won Hwang, Yang Liu. - Smarter, Not Harder: Training-Free Adaptive Computation for Transformers, Findings of ACL 2025
{Romain Storaï, Jaeseong Lee}, Seung-won Hwang. - ConvCodeWorld: Benchmarking Conversational Code Generation in Reproducible Feedback Environments, ICLR 2025
Hojae Han, Seung-won Hwang, Rajhans Samdani, Yuxiong He. - Query-focused Referentiability Learning for Zero-shot Retrieval, NAACL 2025
Jaeyoung Kim, Dohyeon Lee, Seung-won Hwang. - PROM: Pivoted and Regulated Optimization for Multilingual Instruction Learning, NAACL 2025
Jaeseong Lee, Seung-won Hwang, Hojin Lee, Yunju Bak, Changmin Lee. - tRAG: Term-level Retrieval-Augmented Generation for Zero-shot Retrieval, NAACL 2025
Dohyeon Lee, Jongyoon Kim, Jihyuk Kim, Seung-won Hwang, Joonsuk Park. - HARP: Hesitation-Aware Reframing in Transformer Inference Pass, NAACL 2025
Romain Storaï, Seung-won Hwang. - CORD: Balancing COnsistency and Rank Distillation for Robust Retrieval-Augmented Generation, NAACL 2025 (short)
Youngwon Lee, Seung-won Hwang, Daniel Campos, Filip Graliński, Zhewei Yao, Yuxiong He. - Inference Scaling for Bridging Retrieval and Augmented Generation, Findings of NAACL 2025
Youngwon Lee, Seung-won Hwang, Daniel Campos, Filip Graliński, Zhewei Yao, Yuxiong He. - Query Variant Detection Using Retriever as Environment, NAACL 2025 (Industry Track)
{Minji Seo, Youngwon Lee}, Seung-won Hwang, Seoho Song, Hee-Cheol Seo, Young-In Song. - PLEX: Adaptive Parameter-Efficient Fine-Tuning for Code LLMs using Lottery-Tickets, NAACL 2025 (Industry Track)
{Jaeseong Lee, Hojae Han}, Jongyoon Kim, Seung-won Hwang, Naun Kang, KyungJun An, Sungho Jang. - PERC: Plan-As-Query Example Retrieval for Underrepresented Code Generation, COLING 2025 (short)
Jaeseok Yoo, Hojae Han, Youngwon Lee, Jaejin Kim, Seung-won Hwang. - Piano performance evaluation dataset with multilevel perceptual features, Scientific Reports 14 (2024)
{Jisoo Park, Jongho Kim}, Jeong Mi Park, Ahyeon Choi, Wen-Syan Li, Jonghwa Park, Seung-won Hwang. - Breaking ReLU Barrier: Generalized MoEfication for Dense Pretrained Models, EMNLP 2024
Jaeseong Lee, Seung-won Hwang, Wonpyo Park, Mingi Ji. - Interventional Speech Noise Injection for ASR Generalizable Spoken Language Understanding, EMNLP 2024
YeonJoon Jung, Jaeseong Lee, Seungtaek Choi, Dohyeon Lee, Minsoo Kim, Seung-won Hwang. - QuBE: Question-based Belief Enhancement for Agentic LLM, EMNLP 2024
Minsoo Kim, Jongyoon Kim, Jihyuk Kim, Seung-won Hwang. - Meta-Prompting Efficient Task-Adaptive Query Generator for Retrieval, Findings of EMNLP 2024
Yoonsang Lee, Minsoo Kim, Seung-won Hwang. - Intended Target Identification for Anomia Patients with Gradient-based Selective Augmentation, Findings of EMNLP 2024
Jongho Kim, Romain Storaï, Seung-won Hwang. - Analyzing the Effectiveness of Listwise Reranking with Positional Invariance on Temporal Generalizability, CLEF 2024, LongEval
{Soyoung Yoon, Jongyoon Kim}, Seung-won Hwang. - ListT5: Listwise Reranking with Fusion-in-Decoder Improves Zero-shot Retrieval, ACL 2024
Soyoung Yoon, Eunbi Choi, Jiyeon Kim, Yireun Kim, Hyeongu Yun, Seung-won Hwang. - ArchCode: Incorporating Software Requirements in Code Generation with Large Language Models, ACL 2024
Hojae Han, Jaejin Kim, Jaeseok Yoo, Youngwon Lee, Seung-won Hwang. - DADA: Distribution-Aware Domain Adaptation of PLMs for Information Retrieval, Findings of ACL 2024
{Dohyeon Lee, Jongyoon Kim}, Seung-won Hwang, Joonsuk Park. - RaDA: Retrieval-augmented Web Agent Planning with LLMs, Findings of ACL 2024
Minsoo Kim, Victor S. Bursztyn, Eunyee Koh, Shunan Guo, Seung-won Hwang. - HIL: Hybrid Isotropy Learning for Zero-shot Performance in Dense retrieval, NAACL 2024
Jaeyoung Kim, Dohyeon Lee, Seung-won Hwang. - Script-mix: Mixing Scripts for Low-resource Language Parsing, NAACL 2024
Jaeseong Lee, Dohyeon Lee, Seung-won Hwang. - ContrastiveMix: Overcoming Code-Mixing Dilemma in Cross-Lingual Transfer for Information Retrieval, NAACL 2024 (short)
Junggeun Do, Jaeseong Lee, Seung-won Hwang. - COMMIT: Code-Mixing English-Centric Large Language Model for Multilingual Instruction Tuning, Findings of NAACL 2024 (short)
Jaeseong Lee, YeonJoon Jung, Seung-won Hwang. - Chaining Event Spans for Temporal Relation Grounding, EACL 2024
Jongho Kim, Dohyeon Lee, Minsoo Kim, Seung-won Hwang. - Learning to Rank Generation with Pairwise Partial Rewards, EMNLP 2023
{Youngwon Lee, Jinu Lee}, Seung-won Hwang. - On Sample-Efficient Code Generation, EMNLP 2023 (Industry Track)
Hojae Han, Yu Jin Kim, Byoungjip Kim, Youngwon Lee, Kyungjae Lee, Kyungmin Lee, Moontae Lee, Kyunghoon Bae, Seung-won Hwang. - Relevance-assisted Generation for Robust Zero-shot Retrieval, EMNLP 2023 (Industry Track)
Jihyuk Kim, Minsoo Kim, Joonsuk Park, Seung-won Hwang. - Multilingual Lottery Tickets to Pretrain Language Models, Findings of EMNLP 2023
Jaeseong Lee, Seung-won Hwang. - Intervention-Based Alignment of Code Search with Execution Feedback, Findings of EMNLP 2023
Hojae Han, Minsoo Kim, Seung-won Hwang, Nan Duan, Shuai Lu. - On Monotonic Aggregation for Open-domain QA, INTERSPEECH 2023
{Sang-eun Han, Yeonseok Jeong}, Seung-won Hwang, Kyungjae Lee. - On Complementarity Objectives for Hybrid Retrieval, ACL 2023
Dohyeon Lee, Seung-won Hwang, Kyungjae Lee, Seungtaek Choi, Sunghyun Park. - Retrieval-augmented Video Encoding for Instructional Captioning, Findings of ACL 2023
Yeonjoon Jung, Minsoo Kim, Seungtaek Choi, Jihyuk Kim, Minji Seo, Seung-won Hwang. - When to Read Documents or QA History: On Unified, Selective Open-domain QA, Findings of ACL 2023
{Kyungjae Lee, Sang-eun Han}, Seung-won Hwang, Moontae Lee. - C2LIR: Continual Cross-lingual Transfer for Low-Resource Information Retrieval, ECIR 2023 (short)
{Jaeseong Lee, Dohyeon Lee}, Jongho Kim, Seung-won Hwang. - Script, Language, Labels: Overcoming Three Discrepancies for Low-Resource Language Specialization, AAAI 2023
Jaeseong Lee, Dohyeon Lee, Seung-won Hwang. - PLM-based World Models for Text-based Games, EMNLP 2022
Minsoo Kim, Yeonjoon Jung, Dohyeon Lee, Seung-won Hwang. - Towards Compositional Generalization in Code Search, EMNLP 2022 (short)
Hojae Han, Seung-won Hwang, Shuai Lu, Nan Duan, Seungtaek Choi. - Pseudo-Relevance for Enhancing Document Representation, EMNLP 2022
Jihyuk Kim, Seung-won Hwang, Seoho Song, Hyeseon Ko, Young-In Song. - Normalizing Mutual Information for Robust Adaptive Training for Translation, EMNLP 2022 (short)
Youngwon Lee, Changmin Lee, Hojin Lee, Seung-won Hwang. - FAD-X: Fusing Adapters for Cross-lingual Transfer to Low-Resource Languages, AACL/IJCNLP 2022 (short)
Jaeseong Lee, Seung-won Hwang, Taesup Kim. - Collective Relevance Labeling for Passage Retrieval, NAACL 2022 (short)
Jihyuk Kim, Minsoo Kim, Seung-won Hwang. - Privacy-Preserving Text Classification on BERT Embeddings with Homomorphic Encryption, NAACL 2022 (short)
{Garam Lee, Minsoo Kim, Jai Hyun Park}, Seung-won Hwang, Jung Hee Cheon. - ReACC: A Retrieval-Augmented Code Completion Framework, ACL 2022
Shuai Lu, Nan Duan, Hojae Han, Daya Guo, Seung-won Hwang, Alexey Svyatkovskiy. - Debiasing Event Understanding for Visual Commonsense Tasks, Findings of ACL 2022 (short)
{Minji Seo, YeonJoon Jung}, Seungtaek Choi, Seung-won Hwang, Bei Liu. - Plug-and-Play Adaptation for Continuously-updated QA, Findings of ACL 2022
Kyungjae Lee, Wookje Han, Seung-Won Hwang, Hwaran Lee, Joonsuk Park, Sang-Woo Lee. - C2L: Causally Contrastive Learning for Robust Text Classification, AAAI 2022
{Seungtaek Choi, Myeongho Jeong}, Hojae Han, Seung-won Hwang. - Bridging Code-Text Representation Gap using Explanation, ACML 2021
Hojae Han, Youngwon Lee, Minsoo Kim, Seung-won Hwang. - Structure-Augmented Keyphrase Generation, EMNLP 2021
Jihyuk Kim, Myeongho Jeong, Seungtaek Choi, Seung-won Hwang. - Robustifying Multi-hop QA through Pseudo-Evidentiality Training, ACL/IJCNLP 2021
Kyungjae Lee, Seung-won Hwang, Sang-eun Han, Dohyeon Lee. - Web Document Encoding for Structure-Aware Keyphrase Extraction, SIGIR 2021 (short)
Jihyuk Kim, Young-In Song, Seung-won Hwang. - SCOPA: Soft Code-Switching, Pairwise Alignment for Zero-Shot Cross-lingual Transfer, CIKM 2021 (short)
{Dohyeon Lee, Jaeseong Lee}, Gyewon Lee, Byung-Gon Chun, Seung-won Hwang. - Counterfactual Generative Smoothing for Imbalanced Natural Language Classification, CIKM 2021 (short)
Hojae Han, Seungtaek Choi, Myeongho Jeong, Jin-Woo Park, Seung-won Hwang. - Label, Context Augmentation for Response Selection at DSTC8, IEEE Transactions on Audio, Speech, Language Processing (TASLP), 2021
{Myeongho Jeong, Seungtaek Choi}, Jinyoung Yeo, Seung-won Hwang. - Query Generation for Multimodal Documents, EACL 2021
Kyungho Kim, Kyungjae Lee, Seung-won Hwang, Young-In Song, Seungwook Lee. - Retrieval-Augmented Controllable Review Generation, COLING 2020
Jihyeok Kim, Seungtaek Choi, Reinald Kim Amplayo, Seung-won Hwang. - Less is More - Attention Supervision with Counterfactuals for Text Classification, EMNLP 2020
Seungtaek Choi, Haeju Park, Jinyoung Yeo, Seung-won Hwang. - Conditional Response Augmentation for Dialogue Using Knowledge Distillation, INTERSPEECH 2020
{Myeongho Jeong, Seungtaek Choi}, Hojae Han, Kyungho Kim, Seung-won Hwang. - Training Data Optimization for Pairwise Learning to Rank, ICTIR 2020
Hojae Han, Seung-won Hwang, Young-In Song, Siyeon Kim. - Instructional Video Summarization Using Attentive Knowledge Grounding, ECML/PKDD 2020
{Kyungho Kim, Kyungjae Lee}, Seung-won Hwang. - Bert is Not All You Need for Commonsense Inference, ICASSP 2020
{Sunghyun Park, Junsung Son}, Seung-won Hwang, KyungLang Park. - Segment-Then-Rank - Non-Factoid Question Answering on Instructional Videos, AAAI 2020
Kyungjae Lee, Nan Duan, Lei Ji, Jason Li, Seung-won Hwang. - Meta-supervision for Attention Using Counterfactual Estimation, Data Sci. Eng. 5(2): 193-204 (2020)
Seungtaek Choi, Haeju Park, Seung-won Hwang. - Conversion Prediction from Clickstream - Modeling Market Prediction, Customer Predictability, IEEE TKDE 2020
Jinyoung Yeo, Seung-won Hwang, Sungchul Kim, Eunyee Koh, Nedim Lipka. - XINA - Explainable Instance Alignment Using Dominance Relationship, IEEE TKDE 2020
Jinyoung Yeo, Haeju Park, Sanghoon Lee, Eric Wonhee Lee, Seung-won Hwang. - SQuAD2-CR - Semi-supervised Annotation for Cause, Rationales for Unanswerability in SQuAD 2.0, LREC 2020
Gyeongbok Lee, Seung-won Hwang, Hyunsouk Cho. - Learning with Limited Data for Multilingual Reading Comprehension, EMNLP-IJCNLP 2019
Kyungjae Lee, Sunghyun Park, Hojae Han, Jinyoung Yeo, Seung-won Hwang, Juho Lee. - MICRON: Multigranular Interaction for Contextualizing RepresentatiON in Non-factoid Question Answering, EMNLP-IJCNLP 2019 (short)
Hojae Han, Seungtaek Choi, Haeju Park, Seung-won Hwang. - Categorical Metadata Representation for Customized Text Classification, TACL 2019
Jihyeok Kim, Reinald Kim Amplayo, Kyungjae Lee, Sua Sung, Minji Seo, Seung-won Hwang. - Text Length Adaptation in Sentiment Classification, ACML 2019
Reinald Kim Amplayo, Seonjae Lim, Seung-won Hwang. - Soft Representation Learning for Sparse Transfer, ACL 2019
Haeju Park, Jinyoung Yeo, Gengyu Wang, Seung-won Hwang. - Explanatory and Actionable Debugging for Machine Learning: A TableQA Demonstration, SIGIR 2019 (demo)
Minseok Cho, Gyeongbok Lee, Seung-won Hwang. - Paraphrase Diversification Using Counterfactual Debiasing, AAAI 2019
Sunghyun Park, Seung-won Hwang, Fuxiang Chen, Jaegul Choo, Jung-Woo Ha, Sunghun Kim, Jinyeong Yim. - AutoSense Model forWord Sense Induction, AAAI 2019
Reinald Kim Amplayo, Seung-won Hwang, Min Song. - QADiver: Interactive Framework for Diagnosing QA Models, AAAI 2019 (demo)
Gyeongbok Lee, Sungdong Kim, Seung-won Hwang. - List Intersection for Web Search: Algorithms, Cost Models, and Optimization, VLDB 2019
Sunghwan Kim, Taesung Lee, Seung-won Hwang, Sameh Elnikety. - List Intersection for Web Search - Algorithms, Cost Models, and Optimizations, VLDB 2018
Sunghwan Kim, Taesung Lee, Seung-won Hwang, Sameh Elnikety. - Machine-Translated Knowledge Transfer for Commonsense Causal Reasoning, AAAI 2018
Jinyoung Yeo, Geungyu Wang, Hyunsouk Cho, Seungtaek Choi, Seung-won Hwang. - Cold-Start Aware User and Product Attention for Sentiment Classification, ACL 2018
Reinald Kim Amplayo, Jihyeok Kim, Sua Sung, Seung-won Hwang. - Adversarial TableQA - Attention Supervision for Question Answering on Tables, ACML 2018
Minseok Cho, Reinald Kim Amplayo, Seung-won Hwang, Jonghyuck Park. - Translations as Additional Contexts for Sentence Classification, IJCAI 2018
Reinald Kim Amplayo, Kyungjae Lee, Jinyeong Yeo, Seung-won Hwang. - Semi-supervised Training Data Generation for Multilingual Question Answering, LREC 2018
Kyungjae Lee, Kyoungho Yoon, Sunghyun Park, Seung-won Hwang. - Visual Choice of Plausible Alternatives - An Evaluation of Image-based Commonsense Causal Reasoning, LREC 2018
Jinyoung Yeo, Gyeongbok Lee, Gengyu Wang, Seungtaek Choi, Hyunsouk Cho, Reinald Kim Amplayo, Seung-won Hwang. - Entity Commonsense Representation for Neural Abstractive Summarization, NAACL-HLT 2018
Reinald Kim Amplayo, Seonjae Lim, Seung-won Hwang. - Efficient Keyword-Aware Representative Travel Route Recommendation, IEEE Trans. Knowl. Data Eng.
Yu Ting Wen, Jinyoung Yeo, Wen-Chih Peng, Seung-won Hwang. - Multimodal KB Harvesting for Emerging Spatial Entities, IEEE Trans. Knowl. Data Eng.
Jinyoung Yeo, Hyunsouk Cho, Jin-Woo Park, Seung-won Hwang. - Aspect Sentiment Model for Micro Reviews, ICDM 2017
Reinald Kim Amplayo, Seung-won Hwang. - Gradable Adjective Embedding for Commonsense Knowledge, PAKDD 2017
Kyungjae Lee, Hyunsouk Cho, Seung-won Hwang. - Understanding Relations using Concepts and Semantics, DSMM@SIGMOD 2017
Jouyon Park, Hyunsouk Cho, Seung-won Hwang. - Predicting Online Purchase Conversion for Retargeting, WSDM 2017
Jinyoung Yeo, Sungchul Kim, Eunyee Koh, Seung-won Hwang, Nedim Lipka. - Cost-aware triage ranking algorithms for bug reporting systems, Knowl. Inf. Syst.
Jin-Woo Park, Mu-Woong Lee, Jinhan Kim, Seung-won Hwang, Sunghun Kim. - Fine-Grained Semantic Conceptualization of FrameNet, AAAI 2016
Jin-Woo Park, Seung-won Hwang, Haixun Wang. - Understanding Emerging Spatial Entities, AAAI 2016
Jinyoung Yeo, Jin-Woo Park, Seung-won Hwang. - ECO - Entity-level captioning in context, ASONAM 2016
Hyunsouk Cho, Seung-won Hwang. - Trivia quiz mining using probabilistic knowledge, ASONAM 2016
Taesung Lee, Seung-won Hwang, Zhongyuan Wang. - Probabilistic Prototype Model for Serendipitous Property Mining, COLING 2016
Taesung Lee, Seung-won Hwang, Zhongyuan Wang. - Event Grounding from Multimodal Social Network Fusion, ICDM 2016
{Hyunsouk Cho, Jinyoung Yeo}, Seung-won Hwang. - Linking, integrating, and translating entities via iterative graph matching, TAAI 2016
Taesung Lee, Seung-won Hwang. - Browsing2purchase - Online Customer Model for Sales Forecasting in an E-Commerce Site, WWW 2016
Jinyoung Yeo, Sungchul Kim, Eunyee Koh, Seung-won Hwang, Nedim Lipka.