| 2026 | K-MetBench: A Multi-Dimensional Benchmark for Fine-Grained Evaluation of Expert Reasoning, Locality, and Multimodality in Meteorology. | Soyeon Kim, Cheongwoong Kang, Myeongjin Lee, Eun-Chul Chang, Lee Jaedeok, Jaesik Choi |
| 2026 | How Training Data Shapes the Use of Parametric and In-Context Knowledge in Language Models. | Minsung Kim, Dong-Kyum Kim, Jea Kwon, Nakyeong Yang, Kyomin Jung, Meeyoung Cha |
| 2026 | 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 | Adaptive Retrieval for Reasoning. | Jongho Kim, Jaeyoung Kim, Jihyuk Kim, Yu Jin Kim, Seung-won Hwang, Moontae Lee |
| 2026 | AG-GRPO: Answer-Guided GRPO for Masked Diffusion Language Models. | Juhyeong Kim, Gyunyeop Kim, Sangwoo Kang |
| 2026 | Diagnosing Spatial Consistency across Perspectives and Viewpoints in Large Vision-Language Models. | Yoonji Kim, Jieun Kim, Yujin Jeong, Sung-Bae Cho |
| 2026 | Relevance to Utility: Process-Supervised Rewrite for RAG. | Jaeyoung Kim, Jongho Kim, Seung-won Hwang, Seoho Song, Young-In Song |
| 2026 | TH-RAG : Topic-Based Hierarchical Knowledge Graphs for Robust Multi-hop Reasoning in Graph-based RAG Systems. | JungHyoun Kim, Soohyeong Kim, Seok Jun Hwang, Jeonghyeon Park, Yong Suk Choi |
| 2026 | Exploring Coding Spot: Understanding Parametric Contributions to LLM Coding Performance. | Dongjun Kim, Minhyuk Kim, Yongchan Chun, Chanjun Park, Heuiseok Lim |
| 2026 | Refining and Reusing Annotation Guidelines for LLM Annotation. | Kon Woo Kim, Jin-Dong Kim, Akiko Aizawa |
| 2026 | Leveraging External Knowledge for Historical Document Restoration via Retrieval-Augmented Large Language Models. | Gabeen Kim, Kyeongpil Kang |
| 2026 | CPC-GRPO: Answer-Free Reinforcement Learning with Cross-Prompt Consensus Rewards. | Gyunyeop Kim, Sangwoo Kang |
| 2026 | TA-GRPO-d: Trajectory-Aware GRPO for Optimizing Denoising Trajectories in Diffusion LLMs. | Gyunyeop Kim, Sangwoo Kang |
| 2026 | Multi-Drafter Speculative Decoding with Alignment Feedback. | Taehyeon Kim, Hojung Jung, Se-Young Yun |
| 2026 | CTRL: Control-Based Time Series Forecasting with LLM-Guided Residual Learning. | Minkyoung Kim, Daeun Ji, Yohan Lee, Beomsoo Kim, Beakcheol Jang |
| 2026 | PhaseMI: A Motivational Interviewing Dataset for Enhancing Phase Progression in LLM-based Counseling. | Jina Kim, Myeongho Jeon, Soohyun Cho, Chae-Gyun Lim, Jongmin Lim, Haewon Min, Eunho Yang |
| 2026 | Two Heads Are Better Than One: Audio-Visual Speech Error Correction with Dual Hypotheses. | Sungnyun Kim, Kangwook Jang, Sungwoo Cho, Joon Son Chung, Hoirin Kim, Se-Young Yun |
| 2026 | Interpreting Style Representations via Style-Eliciting Prompts. | Junghwan Kim, David Jurgens |
| 2026 | CODESTRUCT: Code Agents over Structured Action Spaces. | Myeongsoo Kim, Chao-Chun Hsu, Dingmin Wang, Shweta Garg, Varun Kumar, Murali Krishna Ramanathan |
| 2026 | Interpretability from the Ground Up: Stakeholder-Centric Design of Automated Scoring in Educational Assessments. | Yunsung Kim, Michael Hardy, Joseph Tey, Candace Thille, Christopher Piech |
| 2026 | Do Morals Guide How LLMs Think? The Role of Ethical Perspectives in General Problem Solving. | Iseo Kim, Eunjin Hong, Juae Kim |
| 2026 | CARES: Context-Aware Resolution Selector for VLMs. | Moshe Kimhi, Nimrod Shabtay, Raja Giryes, Chaim Baskin, Eli Schwartz |
| 2026 | Benchmarking Testing in Automated Theorem Proving. | Jongyoon Kim, Hojae Han, Seung-Won Hwang |
| 2026 | UnIte: Uncertainty-based Iterative Document Sampling for Domain Adaptation in Information Retrieval. | Jongyoon Kim, Minseong Hwang, Seung-won Hwang |
| 2026 | HarDBench: A Benchmark for Draft-Based Co-Authoring Jailbreak Attacks for Safe Human-LLM Collaborative Writing. | Euntae Kim, Soomin Han, Buru Chang |