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Conference and Workshop Papers
- 2024
[c5]Ao Luo, Linxin Song, Keisuke Nonaka, Kyohei Unno, Heming Sun, Masayuki Goto, Jiro Katto:
SCP: Spherical-Coordinate-Based Learned Point Cloud Compression. AAAI 2024: 3954-3962- [c4]Linxin Song, Yan Cui, Ao Luo, Freddy Lécué, Irene Li:
Better Explain Transformers by Illuminating Important Information. EACL (Findings) 2024: 2048-2062 - [c3]Shaokun Zhang, Jieyu Zhang, Jiale Liu, Linxin Song, Chi Wang, Ranjay Krishna, Qingyun Wu:
Offline Training of Language Model Agents with Functions as Learnable Weights. ICML 2024 - 2023
- [c2]Jieyu Zhang, Linxin Song, Alex Ratner:
Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision. AISTATS 2023: 157-171 - 2022
- [c1]Linxin Song, Jieyu Zhang, Tianxiang Yang, Masayuki Goto:
Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification. EMNLP (Findings) 2022: 1641-1655
Informal and Other Publications
- 2024
- [i11]Linxin Song, Yan Cui, Ao Luo, Freddy Lécué, Irene Li:
Better Explain Transformers by Illuminating Important Information. CoRR abs/2401.09972 (2024) - [i10]Shaokun Zhang, Jieyu Zhang, Jiale Liu, Linxin Song, Chi Wang, Ranjay Krishna, Qingyun Wu:
Training Language Model Agents without Modifying Language Models. CoRR abs/2402.11359 (2024) - [i9]Linxin Song, Jiale Liu, Jieyu Zhang, Shaokun Zhang, Ao Luo, Shijian Wang, Qingyun Wu, Chi Wang:
Adaptive In-conversation Team Building for Language Model Agents. CoRR abs/2405.19425 (2024) - [i8]Zhengyu Hu, Linxin Song, Jieyu Zhang, Zheyuan Xiao, Jingang Wang, Zhenyu Chen, Jieyu Zhao, Hui Xiong:
Rethinking LLM-based Preference Evaluation. CoRR abs/2407.01085 (2024) - [i7]Kosuke Sakurai, Tatsuya Ishii, Ryotaro Shimizu, Linxin Song, Masayuki Goto:
LARE: Latent Augmentation using Regional Embedding with Vision-Language Model. CoRR abs/2409.12597 (2024) - [i6]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:
Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation. CoRR abs/2410.13248 (2024) - 2023
- [i5]Linxin Song, Jieyu Zhang, Xiaotian Lu, Tianyi Zhou:
Taming Small-sample Bias in Low-budget Active Learning. CoRR abs/2306.11056 (2023) - [i4]Ao Luo, Linxin Song, Keisuke Nonaka, Kyohei Unno, Heming Sun, Masayuki Goto
, Jiro Katto:
SCP: Spherical-Coordinate-based Learned Point Cloud Compression. CoRR abs/2308.12535 (2023) - [i3]Linxin Song, Jieyu Zhang, Lechao Cheng, Pengyuan Zhou, Tianyi Zhou, Irene Li:
NLPBench: Evaluating Large Language Models on Solving NLP Problems. CoRR abs/2309.15630 (2023) - 2022
- [i2]Jieyu Zhang, Linxin Song, Alexander Ratner:
Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision. CoRR abs/2210.02724 (2022) - [i1]Linxin Song, Jieyu Zhang, Tianxiang Yang, Masayuki Goto:
Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification. CoRR abs/2210.03092 (2022)
Coauthor Index
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