| 2025 | Exploration-Driven Reinforcement Learning for Expert Routing Improvement in Mixture-of-Experts Language Models. | Gyunyeop Kim, Sangwoo Kang |
| 2025 | Challenging the Evaluator: LLM Sycophancy Under User Rebuttal. | Sung Won Kim, Daniel Khashabi |
| 2025 | KoACD: The First Korean Adolescent Dataset for Cognitive Distortion Analysis via Role-Switching Multi-LLM Negotiation. | Jun Seo Kim, Hye Hyeon Kim |
| 2025 | MT-Mol: Multi Agent System with Tool-based Reasoning for Molecular Optimization. | Hyomin Kim, Yunhui Jang, Sungsoo Ahn |
| 2025 | LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models. | Yungi Kim, Hyunsoo Ha, Seonghoon Yang, Sukyung Lee, Jihoo Kim, Chanjun Park |
| 2025 | ReGraphRAG: Reorganizing Fragmented Knowledge Graphs for Multi-Perspective Retrieval-Augmented Generation. | Soohyeong Kim, Seok Jun Hwang, JungHyoun Kim, Jeonghyeon Park, Yong Suk Choi |
| 2025 | BehaviorSFT: Behavioral Token Conditioning for Health Agents Across the Proactivity Spectrum. | Yubin Kim, Zhiyuan Hu, Hyewon Jeong, Eugene Park, Shuyue Stella Li, Chanwoo Park, Shiyun Xiong, Mingyu Lu, Hyeonhoon Lee, Xin Liu, Daniel McDuff, Cynthia Breazeal, Samir Tulebaev, Hae Won Park |
| 2025 | CoEx - Co-evolving World-model and Exploration. | Minsoo Kim, Seung-won Hwang |
| 2025 | Not All Options Are Created Equal: Textual Option Weighting for Token-Efficient LLM-Based Knowledge Tracing. | Jongwoo Kim, SeongYeub Chu, Bryan Wong, Mun Yong Yi |
| 2025 | FillerSpeech: Towards Human-Like Text-to-Speech Synthesis with Filler Insertion and Filler Style Control. | Seung-Bin Kim, Junhyeok Cha, Hyung-Seok Oh, Heejin Choi, Seong-Whan Lee |
| 2025 | ChronoBias: A Benchmark for Evaluating Temporal Group Bias in the Time-sensitive Knowledge of Large Language Models. | Kyungmin Kim, Youngbin Choi, Hyounghun Kim, Dongwoo Kim, Sangdon Park |
| 2025 | Connecting the Knowledge Dots: Retrieval-augmented Knowledge Connection for Commonsense Reasoning. | Junho Kim, Soyeon Bak, Mingyu Lee, Minju Hong, Songha Kim, Tae-Eui Kam, SangKeun Lee |
| 2025 | Data Descriptions from Large Language Models with Influence Estimation. | Chaeri Kim, Jaeyeon Bae, Taehwan Kim |
| 2025 | Decoding the Rule Book: Extracting Hidden Moderation Criteria from Reddit Communities. | Youngwoo Kim, Himanshu Beniwal, Steven L. Johnson, Thomas Hartvigsen |
| 2025 | Should I Share this Translation? Evaluating Quality Feedback for User Reliance on Machine Translation. | Dayeon Ki, Kevin Duh, Marine Carpuat |
| 2025 | NurseLLM: The First Specialized Language Model for Nursing. | Md. Tawkat Islam Khondaker, Julia Harrington, Shady Shehata |
| 2025 | Weaver: Interweaving SQL and LLM for Table Reasoning. | Rohit Khoja, Devanshu Gupta, Yanjie Fu, Dan Roth, Vivek Gupta |
| 2025 | AgentDrug: Utilizing Large Language Models in an Agentic Workflow for Zero-Shot Molecular Optimization. | Le Huy Khiem, Ting Hua, Nitesh V. Chawla |
| 2025 | Program of Thoughts for Financial Reasoning: Leveraging Dynamic In-Context Examples and Generative Retrieval. | Subhendu Khatuya, Shashwat Naidu, Pawan Goyal, Niloy Ganguly |
| 2025 | DACIP-RC: Domain Adaptive Continual Instruction Pre-Training via Reading Comprehension on Business Conversations. | Elena Khasanova, Harsh Saini, Md. Tahmid Rahman Laskar, Xue-Yong Fu, Cheng Chen, Shashi Bhushan TN |
| 2025 | ACING: Actor-Critic for Instruction Learning in Black-Box LLMs. | Salma Kharrat, Fares Fourati, Marco Canini |
| 2025 | BRIT: Bidirectional Retrieval over Unified Image-Text Graph. | Ainulla Khan, Moyuru Yamada, Akella Srinidhi |
| 2025 | Calibrating LLM Confidence by Probing Perturbed Representation Stability. | Reza Khanmohammadi, Erfan Miahi, Mehrsa Mardikoraem, Simerjot Kaur, Ivan Brugere, Charese Smiley, Kundan Thind, Mohammad M. Ghassemi |
| 2025 | TokenSmith: Streamlining Data Editing, Search, and Inspection for Large-Scale Language Model Training and Interpretability. | Mohammad Aflah Khan, Ameya Godbole, Johnny Tian-Zheng Wei, Ryan Yixiang Wang, James Flemings, Krishna P. Gummadi, Willie Neiswanger, Robin Jia |
| 2025 | CoCoA: Confidence- and Context-Aware Adaptive Decoding for Resolving Knowledge Conflicts in Large Language Models. | Anant Khandelwal, Manish Gupta, Puneet Agrawal |