Linxin Song - RankMe

35 papers A* 3A 2Journal 25Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Experiential Reinforcement Learning. CoRR Taiwei Shi, Sihao Chen, Bowen Jiang, Linxin Song, Longqi Yang, Jieyu Zhao
2026	J	`jnl`	Optimizing pre-training for multi-label classification via generalized target-aware source data selection. Neurocomputing Kanyu Miyoshi, Ryotaro Shimizu, Linxin Song, Masayuki Goto
2026	J	`jnl`	Video-Based Reward Modeling for Computer-Use Agents. CoRR Linxin Song, Jieyu Zhang, Huanxin Sheng, Taiwei Shi, Gupta Rahul, Yang Liu, Ranjay Krishna, Jian Kang, Jieyu Zhao
2025	J	`jnl`	A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations. CoRR 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
2025	A	`conf`	Attributed Synthetic Data Generation for Zero-shot Domain-specific Image Classification. ICME Shijian Wang, Linxin Song, Ryotaro Shimizu, Masayuki Goto, Hanqian Wu
2025	J	`jnl`	Attributed Synthetic Data Generation for Zero-shot Domain-specific Image Classification. CoRR Shijian Wang, Linxin Song, Ryotaro Shimizu, Masayuki Goto, Hanqian Wu
2025	J	`jnl`	CoAct-1: Computer-using Agents with Coding as Actions. CoRR Linxin Song, Yutong Dai, Viraj Prabhu, Jieyu Zhang, Taiwei Shi, Li Li, Junnan Li, Silvio Savarese, Zeyuan Chen, Jieyu Zhao, Ran Xu, Caiming Xiong
2025	J	`jnl`	Discovering Knowledge Deficiencies of Language Models on Massive Knowledge Base. CoRR Linxin Song, Xuwei Ding, Jieyu Zhang, Taiwei Shi, Ryotaro Shimizu, Rahul Gupta, Yang Liu, Jian Kang, Jieyu Zhao
2025	A*	`conf`	Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation. WWW 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
2025	J	`jnl`	Efficient Reinforcement Finetuning via Adaptive Curriculum Learning. CoRR Taiwei Shi, Yiyang Wu, Linxin Song, Tianyi Zhou, Jieyu Zhao
2025	—	`conf`	Explaining Length Bias in LLM-Based Preference Evaluations. EMNLP (Findings) Zhengyu Hu, Linxin Song, Jieyu Zhang, Zheyuan Xiao, Tianfu Wang, Zhengyu Chen, Nicholas Jing Yuan, Jianxun Lian, Kaize Ding, Hui Xiong
2025	J	`jnl`	MDLPCC: Misalignment-aware dynamic LiDAR point cloud compression. J. Vis. Commun. Image Represent. Ao Luo, Linxin Song, Keisuke Nonaka, Jinming Liu, Kyohei Unno, Kohei Matsuzaki, Heming Sun, Jiro Katto
2025	J	`jnl`	Optimizing pre-training via target-aware source data selection. Knowl. Based Syst. Kanyu Miyoshi, Ryotaro Shimizu, Linxin Song, Masayuki Goto
2025	—	`conf`	The Hallucination Tax of Reinforcement Finetuning. EMNLP (Findings) Linxin Song, Taiwei Shi, Jieyu Zhao
2025	J	`jnl`	The Hallucination Tax of Reinforcement Finetuning. CoRR Linxin Song, Taiwei Shi, Jieyu Zhao
2025	—	`conf`	Treble Counterfactual VLMs: A Causal Approach to Hallucination. EMNLP (Findings) Li Li, Jiashu Qu, Linxin Song, Yuxiao Zhou, Yuehan Qin, Tiankai Yang, Yue Zhao
2025	J	`jnl`	Video-Thinker: Sparking "Thinking with Videos" via Reinforcement Learning. CoRR Shijian Wang, Jiarui Jin, Xingjian Wang, Linxin Song, Runhao Fu, Hecheng Wang, Zongyuan Ge, Yuan Lu, Xuelian Cheng
2024	J	`jnl`	Adaptive In-conversation Team Building for Language Model Agents. CoRR Linxin Song, Jiale Liu, Jieyu Zhang, Shaokun Zhang, Ao Luo, Shijian Wang, Qingyun Wu, Chi Wang
2024	—	`conf`	Better Explain Transformers by Illuminating Important Information. EACL (Findings) Linxin Song, Yan Cui, Ao Luo, Freddy Lécué, Irene Li
2024	J	`jnl`	Better Explain Transformers by Illuminating Important Information. CoRR Linxin Song, Yan Cui, Ao Luo, Freddy Lécué, Irene Li
2024	J	`jnl`	Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation. CoRR 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
2024	J	`jnl`	LARE: Latent Augmentation using Regional Embedding with Vision-Language Model. CoRR Kosuke Sakurai, Tatsuya Ishii, Ryotaro Shimizu, Linxin Song, Masayuki Goto
2024	A*	`conf`	Offline Training of Language Model Agents with Functions as Learnable Weights. ICML Shaokun Zhang, Jieyu Zhang, Jiale Liu, Linxin Song, Chi Wang, Ranjay Krishna, Qingyun Wu
2024	J	`jnl`	ProVision: Programmatically Scaling Vision-centric Instruction Data for Multimodal Language Models. CoRR 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
2024	J	`jnl`	Rethinking LLM-based Preference Evaluation. CoRR Zhengyu Hu, Linxin Song, Jieyu Zhang, Zheyuan Xiao, Jingang Wang, Zhenyu Chen, Jieyu Zhao, Hui Xiong
2024	A*	`conf`	SCP: Spherical-Coordinate-Based Learned Point Cloud Compression. AAAI Ao Luo, Linxin Song, Keisuke Nonaka, Kyohei Unno, Heming Sun, Masayuki Goto, Jiro Katto
2024	J	`jnl`	Template Matters: Understanding the Role of Instruction Templates in Multimodal Language Model Evaluation and Training. CoRR Shijian Wang, Linxin Song, Jieyu Zhang, Ryotaro Shimizu, Ao Luo, Li Yao, Cunjian Chen, Julian J. McAuley, Hanqian Wu
2024	J	`jnl`	Training Language Model Agents without Modifying Language Models. CoRR Shaokun Zhang, Jieyu Zhang, Jiale Liu, Linxin Song, Chi Wang, Ranjay Krishna, Qingyun Wu
2023	A	`conf`	Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision. AISTATS Jieyu Zhang, Linxin Song, Alex Ratner
2023	J	`jnl`	NLPBench: Evaluating Large Language Models on Solving NLP Problems. CoRR Linxin Song, Jieyu Zhang, Lechao Cheng, Pengyuan Zhou, Tianyi Zhou, Irene Li
2023	J	`jnl`	SCP: Spherical-Coordinate-based Learned Point Cloud Compression. CoRR Ao Luo, Linxin Song, Keisuke Nonaka, Kyohei Unno, Heming Sun, Masayuki Goto, Jiro Katto
2023	J	`jnl`	Taming Small-sample Bias in Low-budget Active Learning. CoRR Linxin Song, Jieyu Zhang, Xiaotian Lu, Tianyi Zhou
2022	—	`conf`	Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification. EMNLP (Findings) Linxin Song, Jieyu Zhang, Tianxiang Yang, Masayuki Goto
2022	J	`jnl`	Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification. CoRR Linxin Song, Jieyu Zhang, Tianxiang Yang, Masayuki Goto
2022	J	`jnl`	Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision. CoRR Jieyu Zhang, Linxin Song, Alexander Ratner