Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification. - Linxin Song; Jieyu Zhang; Tianxiang Yang; Masayuki Goto (EMNLP (Findings), 2022)

Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision. - Jieyu Zhang 001; Linxin Song; Alex Ratner (AISTATS, 2023)

Taming Small-sample Bias in Low-budget Active Learning. - Linxin Song; Jieyu Zhang 001; Xiaotian Lu; Tianyi Zhou 001 (CoRR, 2023)

NLPBench: Evaluating Large Language Models on Solving NLP Problems. - Linxin Song; Jieyu Zhang 001; Lechao Cheng; Pengyuan Zhou; Tianyi Zhou 001; Irene Li (CoRR, 2023)

SCP: Spherical-Coordinate-Based Learned Point Cloud Compression. - Ao Luo; Linxin Song; Keisuke Nonaka; Kyohei Unno; Heming Sun; Masayuki Goto; Jiro Katto (AAAI, 2024)

Better Explain Transformers by Illuminating Important Information. - Linxin Song; Yan Cui; Ao Luo; Freddy Lécué; Irene Li (EACL (Findings), 2024)

Offline Training of Language Model Agents with Functions as Learnable Weights. - Shaokun Zhang; Jieyu Zhang 001; Jiale Liu; Linxin Song; Chi Wang 001; Ranjay Krishna; Qingyun Wu (ICML, 2024)

Training Language Model Agents without Modifying Language Models. - Shaokun Zhang; Jieyu Zhang 001; Jiale Liu; Linxin Song; Chi Wang 001; Ranjay Krishna; Qingyun Wu (CoRR, 2024)

Adaptive In-conversation Team Building for Language Model Agents. - Linxin Song; Jiale Liu; Jieyu Zhang 001; Shaokun Zhang; Ao Luo; Shijian Wang; Qingyun Wu; Chi Wang 001 (CoRR, 2024)

Rethinking LLM-based Preference Evaluation. - Zhengyu Hu; Linxin Song; Jieyu Zhang 001; Zheyuan Xiao; Jingang Wang; Zhenyu Chen; Jieyu Zhao 001; Hui Xiong 001 (CoRR, 2024)

LARE: Latent Augmentation using Regional Embedding with Vision-Language Model. - Kosuke Sakurai; Tatsuya Ishii; Ryotaro Shimizu; Linxin Song; Masayuki Goto (CoRR, 2024)

ProVision: Programmatically Scaling Vision-centric Instruction Data for Multimodal Language Models. - Jieyu Zhang 001; Le Xue; Linxin Song; Jun Wang 090; Weikai Huang; Manli Shu; An Yan; Zixian Ma; Juan Carlos Niebles; Silvio Savarese; Caiming Xiong; Zeyuan Chen 001; et al. (CoRR, 2024)

Template Matters: Understanding the Role of Instruction Templates in Multimodal Language Model Evaluation and Training. - Shijian Wang; Linxin Song; Jieyu Zhang; Ryotaro Shimizu; Ao Luo; Li Yao; Cunjian Chen; Julian J. McAuley; Hanqian Wu (CoRR, 2024)

Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation. - Ryotaro Shimizu; Takashi Wada 001; Yu Wang 170; Johannes Kruse 002; Sean O'Brien; Sai Htaung Kham; Linxin Song; Yuya Yoshikawa; Yuki Saito 002; Fugee Tsung; Masayuki Goto; Julian J. McAuley (WWW, 2025)

MDLPCC: Misalignment-aware dynamic LiDAR point cloud compression. - Ao Luo; Linxin Song; Keisuke Nonaka; Jinming Liu 001; Kyohei Unno; Kohei Matsuzaki; Heming Sun; Jiro Katto (J. Vis. Commun. Image Represent., 2025)

Discovering Knowledge Deficiencies of Language Models on Massive Knowledge Base. - Linxin Song; Xuwei Ding; Jieyu Zhang 001; Taiwei Shi; Ryotaro Shimizu; Rahul Gupta; Yang Liu 084; Jian Kang; Jieyu Zhao 001 (CoRR, 2025)

Attributed Synthetic Data Generation for Zero-shot Domain-specific Image Classification. - Shijian Wang; Linxin Song; Ryotaro Shimizu; Masayuki Goto; Hanqian Wu (CoRR, 2025)

Efficient Reinforcement Finetuning via Adaptive Curriculum Learning. - Taiwei Shi; Yiyang Wu; Linxin Song; Tianyi Zhou 001; Jieyu Zhao 001 (CoRR, 2025)

The Hallucination Tax of Reinforcement Finetuning. - Linxin Song; Taiwei Shi; Jieyu Zhao (CoRR, 2025)

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations. - Li Li 006; Peilin Cai; Ryan A. Rossi; Franck Dernoncourt; Branislav Kveton; Junda Wu; Tong Yu 001; Linxin Song; Tiankai Yang 001; Yuehan Qin; Nesreen K. Ahmed; Samyadeep Basu; et al. (CoRR, 2025)

CoAct-1: Computer-using Agents with Coding as Actions. - Linxin Song; Yutong Dai 002; Viraj Prabhu; Jieyu Zhang 001; Taiwei Shi; Li Li; Junnan Li 001; Silvio Savarese; Zeyuan Chen 001; Jieyu Zhao 001; Ran Xu 001; Caiming Xiong (CoRR, 2025)