Joo-Kyung Kim - RankMe

34 papers A* 6A 2B 2C 1Misc 1Journal 15Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Align to Structure: Aligning Large Language Models with Structural Information. AAAI Zae Myung Kim, Anand Ramachandran, Farideh Tavazoee, Joo-Kyung Kim, Oleg Rokhlenko, Dongyeop Kang
2026	J	`jnl`	ProGraph-R1: Progress-aware Reinforcement Learning for Graph Retrieval Augmented Generation. CoRR Jinyoung Park, Sanghyeok Lee, Omar Zia Khan, Hyunwoo J. Kim, Joo-Kyung Kim
2026	—	`conf`	SafeSearch: Do Not Trade Safety for Utility in LLM Search Agents. EACL (Findings) Qiusi Zhan, Angeline Budiman-Chan, Abdelrahman Zayed, Xingzhi Guo, Daniel Kang, Joo-Kyung Kim
2025	J	`jnl`	Align to Structure: Aligning Large Language Models with Structural Information. CoRR Zae Myung Kim, Anand Ramachandran, Farideh Tavazoee, Joo-Kyung Kim, Oleg Rokhlenko, Dongyeop Kang
2025	A*	`conf`	Chain-of-Instructions: Compositional Instruction Tuning on Large Language Models. AAAI Shirley Anugrah Hayati, Taehee Jung, Tristan Bodding-Long, Sudipta Kar, Abhinav Sethy, Joo-Kyung Kim, Dongyeop Kang
2025	—	`conf`	MAPoRL: Multi-Agent Post-Co-Training for Collaborative Large Language Models with Reinforcement Learning. ACL (1) Chanwoo Park, Seungju Han, Xingzhi Guo, Asuman E. Ozdaglar, Kaiqing Zhang, Joo-Kyung Kim
2025	J	`jnl`	MAPoRL: Multi-Agent Post-Co-Training for Collaborative Large Language Models with Reinforcement Learning. CoRR Chanwoo Park, Seungju Han, Xingzhi Guo, Asuman E. Ozdaglar, Kaiqing Zhang, Joo-Kyung Kim
2025	J	`jnl`	SafeSearch: Do Not Trade Safety for Utility in LLM Search Agents. CoRR Qiusi Zhan, Angeline Budiman-Chan, Abdelrahman Zayed, Xingzhi Guo, Daniel Kang, Joo-Kyung Kim
2025	J	`jnl`	When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs. CoRR Soyeong Jeong, Taehee Jung, Sung Ju Hwang, Joo-Kyung Kim, Dongyeop Kang
2024	J	`jnl`	Chain-of-Instructions: Compositional Instruction Tuning on Large Language Models. CoRR Shirley Anugrah Hayati, Taehee Jung, Tristan Bodding-Long, Sudipta Kar, Abhinav Sethy, Joo-Kyung Kim, Dongyeop Kang
2024	A*	`conf`	Generative Subgraph Retrieval for Knowledge Graph-Grounded Dialog Generation. EMNLP Jinyoung Park, Minseok Joo, Joo-Kyung Kim, Hyunwoo J. Kim
2024	J	`jnl`	Generative Subgraph Retrieval for Knowledge Graph-Grounded Dialog Generation. CoRR Jinyoung Park, Minseok Joo, Joo-Kyung Kim, Hyunwoo J. Kim
2024	—	`conf`	II-MMR: Identifying and Improving Multi-modal Multi-hop Reasoning in Visual Question Answering. ACL (Findings) Jihyung Kil, Farideh Tavazoee, Dongyeop Kang, Joo-Kyung Kim
2024	J	`jnl`	II-MMR: Identifying and Improving Multi-modal Multi-hop Reasoning in Visual Question Answering. CoRR Jihyung Kil, Farideh Tavazoee, Dongyeop Kang, Joo-Kyung Kim
2023	A	`conf`	Cluster-Guided Label Generation in Extreme Multi-Label Classification. EACL Taehee Jung, Joo-Kyung Kim, Sungjin Lee, Dongyeop Kang
2023	J	`jnl`	Cluster-Guided Label Generation in Extreme Multi-Label Classification. CoRR Taehee Jung, Joo-Kyung Kim, Sungjin Lee, Dongyeop Kang
2023	J	`jnl`	Graph-Guided Reasoning for Multi-Hop Question Answering in Large Language Models. CoRR Jinyoung Park, Ameen Patel, Omar Zia Khan, Hyunwoo J. Kim, Joo-Kyung Kim
2021	C	`conf`	Deciding Whether to Ask Clarifying Questions in Large-Scale Spoken Language Understanding. ASRU Joo-Kyung Kim, Guoyin Wang, Sungjin Lee, Young-Bum Kim
2021	J	`jnl`	Deciding Whether to Ask Clarifying Questions in Large-Scale Spoken Language Understanding. CoRR Joo-Kyung Kim, Guoyin Wang, Sungjin Lee, Young-Bum Kim
2020	Misc	`conf`	Pseudo Labeling and Negative Feedback Learning for Large-Scale Multi-Label Domain Classification. ICASSP Joo-Kyung Kim, Young-Bum Kim
2020	J	`jnl`	Pseudo Labeling and Negative Feedback Learning for Large-scale Multi-label Domain Classification. CoRR Joo-Kyung Kim, Young-Bum Kim
2018	—	`conf`	A Scalable Neural Shortlisting-Reranking Approach for Large-Scale Domain Classification in Natural Language Understanding. NAACL-HLT (3) Young-Bum Kim, Dongchan Kim, Joo-Kyung Kim, Ruhi Sarikaya
2018	J	`jnl`	A Scalable Neural Shortlisting-Reranking Approach for Large-Scale Domain Classification in Natural Language Understanding. CoRR Young-Bum Kim, Dongchan Kim, Joo-Kyung Kim, Ruhi Sarikaya
2018	A	`conf`	Joint Learning of Domain Classification and Out-of-Domain Detection with Dynamic Class Weighting for Satisficing False Acceptance Rates. INTERSPEECH Joo-Kyung Kim, Young-Bum Kim
2018	J	`jnl`	Joint Learning of Domain Classification and Out-of-Domain Detection with Dynamic Class Weighting for Satisficing False Acceptance Rates. CoRR Joo-Kyung Kim, Young-Bum Kim
2018	A*	`conf`	Supervised Domain Enablement Attention for Personalized Domain Classification. EMNLP Joo-Kyung Kim, Young-Bum Kim
2018	J	`jnl`	Supervised Domain Enablement Attention for Personalized Domain Classification. CoRR Joo-Kyung Kim, Young-Bum Kim
2017	A*	`conf`	Cross-Lingual Transfer Learning for POS Tagging without Cross-Lingual Resources. EMNLP Joo-Kyung Kim, Young-Bum Kim, Ruhi Sarikaya, Eric Fosler-Lussier
2016	—	`conf`	Adjusting Word Embeddings with Semantic Intensity Orders. Rep4NLP@ACL Joo-Kyung Kim, Marie-Catherine de Marneffe, Eric Fosler-Lussier
2016	—	`conf`	Intent detection using semantically enriched word embeddings. SLT Joo-Kyung Kim, Gökhan Tür, Asli Celikyilmaz, Bin Cao, Ye-Yi Wang
2015	—	`conf`	Neural word embeddings with multiplicative feature interactions for tensor-based compositions. VS@HLT-NAACL Joo-Kyung Kim, Marie-Catherine de Marneffe, Eric Fosler-Lussier
2013	A*	`conf`	Deriving Adjectival Scales from Continuous Space Word Representations. EMNLP Joo-Kyung Kim, Marie-Catherine de Marneffe
2007	B	`conf`	Evolving hypernetworks for pattern classification. IEEE Congress on Evolutionary Computation Joo-Kyung Kim, Byoung-Tak Zhang
2006	B	`conf`	DNA Hypernetworks for Information Storage and Retrieval. DNA Byoung-Tak Zhang, Joo-Kyung Kim