Linxin Song

According to our database, Linxin Song authored at least 21 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

CoAct-1: Computer-using Agents with Coding as Actions.

Linxin Song, Yutong Dai, Viraj Prabhu, Jieyu Zhang, Taiwei Shi, Li Li, Junnan Li, Silvio Savarese, Zeyuan Chen, Jieyu Zhao, Ran Xu, Caiming Xiong

CoRR, August, 2025

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations.

Li Li, Peilin Cai, Ryan A. Rossi, Franck Dernoncourt, Branislav Kveton, Junda Wu, Tong Yu, Linxin Song, Tiankai Yang, Yuehan Qin, Nesreen K. Ahmed, Samyadeep Basu, Subhojyoti Mukherjee, Ruiyi Zhang, Zhengmian Hu, Bo Ni, Yuxiao Zhou, Zichao Wang, Yue Huang, Yu Wang, Xiangliang Zhang, Philip S. Yu, Xiyang Hu, Yue Zhao

CoRR, May, 2025

The Hallucination Tax of Reinforcement Finetuning.

Linxin Song, Taiwei Shi, Jieyu Zhao

CoRR, May, 2025

Efficient Reinforcement Finetuning via Adaptive Curriculum Learning.

Taiwei Shi, Yiyang Wu, Linxin Song, Tianyi Zhou, Jieyu Zhao

CoRR, April, 2025

Attributed Synthetic Data Generation for Zero-shot Domain-specific Image Classification.

Shijian Wang, Linxin Song, Ryotaro Shimizu, Masayuki Goto, Hanqian Wu

CoRR, April, 2025

Discovering Knowledge Deficiencies of Language Models on Massive Knowledge Base.

Linxin Song, Xuwei Ding, Jieyu Zhang, Taiwei Shi, Ryotaro Shimizu, Rahul Gupta, Yang Liu, Jian Kang, Jieyu Zhao

CoRR, March, 2025

MDLPCC: Misalignment-aware dynamic LiDAR point cloud compression.

Ao Luo, Linxin Song, Keisuke Nonaka, Jinming Liu, Kyohei Unno, Kohei Matsuzaki, Heming Sun, Jiro Katto

J. Vis. Commun. Image Represent., 2025

Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation.

Ryotaro Shimizu, Takashi Wada, Yu Wang, Johannes Kruse, Sean O'Brien, Sai Htaung Kham, Linxin Song, Yuya Yoshikawa, Yuki Saito, Fugee Tsung, Masayuki Goto, Julian J. McAuley

Proceedings of the ACM on Web Conference 2025, 2025

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

ProVision: Programmatically Scaling Vision-centric Instruction Data for Multimodal Language Models.

Jieyu Zhang, Le Xue, Linxin Song, Jun Wang, Weikai Huang, Manli Shu, An Yan, Zixian Ma, Juan Carlos Niebles, Silvio Savarese, Caiming Xiong, Zeyuan Chen, Ranjay Krishna, Ran Xu

CoRR, 2024

LARE: Latent Augmentation using Regional Embedding with Vision-Language Model.

Kosuke Sakurai, Tatsuya Ishii, Ryotaro Shimizu, Linxin Song, Masayuki Goto

CoRR, 2024

Rethinking LLM-based Preference Evaluation.

Zhengyu Hu, Linxin Song, Jieyu Zhang, Zheyuan Xiao, Jingang Wang, Zhenyu Chen, Jieyu Zhao, Hui Xiong

CoRR, 2024

Adaptive In-conversation Team Building for Language Model Agents.

Linxin Song, Jiale Liu, Jieyu Zhang, Shaokun Zhang, Ao Luo, Shijian Wang, Qingyun Wu, Chi Wang

CoRR, 2024

Training Language Model Agents without Modifying Language Models.

Shaokun Zhang, Jieyu Zhang, Jiale Liu, Linxin Song, Chi Wang, Ranjay Krishna, Qingyun Wu

CoRR, 2024

Offline Training of Language Model Agents with Functions as Learnable Weights.

Shaokun Zhang, Jieyu Zhang, Jiale Liu, Linxin Song, Chi Wang, Ranjay Krishna, Qingyun Wu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Better Explain Transformers by Illuminating Important Information.

Linxin Song, Yan Cui, Ao Luo, Freddy Lécué, Irene Li

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

SCP: Spherical-Coordinate-Based Learned Point Cloud Compression.

Ao Luo, Linxin Song, Keisuke Nonaka, Kyohei Unno, Heming Sun, Masayuki Goto, Jiro Katto

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

NLPBench: Evaluating Large Language Models on Solving NLP Problems.

Linxin Song, Jieyu Zhang, Lechao Cheng, Pengyuan Zhou, Tianyi Zhou, Irene Li

CoRR, 2023

Taming Small-sample Bias in Low-budget Active Learning.

Linxin Song, Jieyu Zhang, Xiaotian Lu, Tianyi Zhou

CoRR, 2023

Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision.

Jieyu Zhang, Linxin Song, Alex Ratner

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification.

Linxin Song, Jieyu Zhang, Tianxiang Yang, Masayuki Goto

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022