Yafu Li

67 papers A* 3A 1B 1Journal 45Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Characterizing, Evaluating, and Optimizing Complex Reasoning.
CoRR
Haoran Zhang, Yafu Li, Zhi Wang, Zhilin Wang, Shunkai Zhang, Xiaoye Qu, Yu Cheng
2026 J jnl
FaithRL: Learning to Reason Faithfully through Step-Level Faithfulness Maximization.
CoRR
Runquan Gui, Yafu Li, Xiaoye Qu, Ziyan Liu, Yeqiu Cheng, Yu Cheng
2026 J jnl
From Conflict to Consensus: Boosting Medical Reasoning via Multi-Round Agentic RAG.
CoRR
Wenhao Wu, Zhentao Tang, Yafu Li, Shixiong Kai, Mingxuan Yuan, Chunlin Chen, Zhi Wang
2026 J jnl
GEMS: Agent-Native Multimodal Generation with Memory and Skills.
CoRR
Zefeng He, Siyuan Huang, Xiaoye Qu, Yafu Li, Tong Zhu, Yu Cheng, Yang Yang
2026 J jnl
LatentMem: Customizing Latent Memory for Multi-Agent Systems.
CoRR
Muxin Fu, Guibin Zhang, Xiangyuan Xue, Yafu Li, Zefeng He, Siyuan Huang, Xiaoye Qu, Yu Cheng, Yang Yang
2026 J jnl
New Skills or Sharper Primitives? A Probabilistic Perspective on the Emergence of Reasoning in RLVR.
CoRR
Zhilin Wang, Yafu Li, Shunkai Zhang, Zhi Wang, Haoran Zhang, Xiaoye Qu, Yu Cheng
2025 J jnl
A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond.
CoRR
Xiaoye Qu, Yafu Li, Zhaochen Su, Weigao Sun, Jianhao Yan, Dongrui Liu, Ganqu Cui, Daizong Liu, Shuxian Liang, Junxian He, Peng Li, Wei Wei, Jing Shao, Chaochao Lu, Yue Zhang, Xian-Sheng Hua, Bowen Zhou, Yu Cheng
2025 J jnl
A Survey of Reinforcement Learning for Large Reasoning Models.
CoRR
Kaiyan Zhang, Yuxin Zuo, Bingxiang He, Youbang Sun, Runze Liu, Che Jiang, Yuchen Fan, Kai Tian, Guoli Jia, Pengfei Li, Yu Fu, Xingtai Lv, Yuchen Zhang, Sihang Zeng, Shang Qu, Haozhan Li, Shijie Wang, Yuru wang, Xinwei Long, Fangfu Liu, Xiang Xu, Jiaze Ma, Xuekai Zhu, Ermo Hua, Yihao Liu, Zonglin Li, Huayu Chen, Xiaoye Qu, Yafu Li, Weize Chen, Zhenzhao Yuan, Junqi Gao, Dong Li, Zhiyuan Ma, Ganqu Cui, Zhiyuan Liu, Biqing Qi, Ning Ding, Bowen Zhou
2025 J jnl
Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning.
CoRR
Shuang Chen, Yue Guo, Zhaochen Su, Yafu Li, Yulun Wu, Jiacheng Chen, Jiayu Chen, Weijie Wang, Xiaoye Qu, Yu Cheng
2025 J jnl
Conditional Advantage Estimation for Reinforcement Learning in Large Reasoning Models.
CoRR
Guanxu Chen, Yafu Li, Yuxian Jiang, Chen Qian, Qihan Ren, Jingyi Yang, Yu Cheng, Dongrui Liu, Jing Shao
2025 J jnl
DiffThinker: Towards Generative Multimodal Reasoning with Diffusion Models.
CoRR
Zefeng He, Xiaoye Qu, Yafu Li, Tong Zhu, Siyuan Huang, Yu Cheng
2025 J jnl
Diversity-Incentivized Exploration for Versatile Reasoning.
CoRR
Zican Hu, Shilin Zhang, Yafu Li, Jianhao Yan, Xuyang Hu, Leyang Cui, Xiaoye Qu, Chunlin Chen, Yu Cheng, Zhi Wang
2025 J jnl
ExGRPO: Learning to Reason from Experience.
CoRR
Runzhe Zhan, Yafu Li, Zhi Wang, Xiaoye Qu, Dongrui Liu, Jing Shao, Derek F. Wong, Yu Cheng
2025 J jnl
FrameThinker: Learning to Think with Long Videos via Multi-Turn Frame Spotlighting.
CoRR
Zefeng He, Xiaoye Qu, Yafu Li, Siyuan Huang, Daizong Liu, Yu Cheng
2025 J jnl
From Drafts to Answers: Unlocking LLM Potential via Aggregation Fine-Tuning.
CoRR
Yafu Li, Zhilin Wang, Tingchen Fu, Ganqu Cui, Sen Yang, Yu Cheng
2025 — conf
Keyphrase Generation Based on the Fusion of Sequence and Word Graph Features.
ICIC (21)
Heng Yu, Yafu Li, Wu Zhuang
2025 — conf
Keys to Robust Edits: From Theoretical Insights to Practical Advances.
ACL (1)
Jianhao Yan, Futing Wang, Yun Luo, Yafu Li, Yue Zhang
2025 J jnl
Learning to Reason under Off-Policy Guidance.
CoRR
Jianhao Yan, Yafu Li, Zican Hu, Zhi Wang, Ganqu Cui, Xiaoye Qu, Yu Cheng, Yue Zhang
2025 — conf
Lost in Literalism: How Supervised Training Shapes Translationese in LLMs.
ACL (1)
Yafu Li, Ronghao Zhang, Zhilin Wang, Huajian Zhang, Leyang Cui, Yongjing Yin, Tong Xiao, Yue Zhang
2025 J jnl
Lost in Literalism: How Supervised Training Shapes Translationese in LLMs.
CoRR
Yafu Li, Ronghao Zhang, Zhilin Wang, Huajian Zhang, Leyang Cui, Yongjing Yin, Tong Xiao, Yue Zhang
2025 A conf
MCRanker: Generating Diverse Criteria On-the-Fly to Improve Pointwise LLM Rankers.
WSDM
Fang Guo, Wenyu Li, Honglei Zhuang, Yun Luo, Yafu Li, Le Yan, Qi Zhu, Yue Zhang
2025 J jnl
Multi-LLM Collaborative Search for Complex Problem Solving.
CoRR
Sen Yang, Yafu Li, Wai Lam, Yu Cheng
2025 J jnl
Reasoning over Boundaries: Enhancing Specification Alignment via Test-time Delibration.
CoRR
Haoran Zhang, Yafu Li, Xuyang Hu, Dongrui Liu, Zhilin Wang, Bo Li, Yu Cheng
2025 J jnl
Rethinking Entropy Regularization in Large Reasoning Models.
CoRR
Yuxian Jiang, Yafu Li, Guanxu Chen, Dongrui Liu, Yu Cheng, Jing Shao
2025 — conf
SEE: Continual Fine-tuning with Sequential Ensemble of Experts.
ACL (Findings)
Zhilin Wang, Yafu Li, Xiaoye Qu, Yu Cheng
2025 J jnl
SEE: Continual Fine-tuning with Sequential Ensemble of Experts.
CoRR
Zhilin Wang, Yafu Li, Xiaoye Qu, Yu Cheng
2025 J jnl
Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models.
CoRR
Tingchen Fu, Jiawei Gu, Yafu Li, Xiaoye Qu, Yu Cheng
2025 J jnl
Spotlight on Token Perception for Multimodal Reinforcement Learning.
CoRR
Siyuan Huang, Xiaoye Qu, Yafu Li, Yun Luo, Zefeng He, Daizong Liu, Yu Cheng
2025 A* conf
Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback.
ICML
Yafu Li, Xuyang Hu, Xiaoye Qu, Linjie Li, Yu Cheng
2025 J jnl
Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback.
CoRR
Yafu Li, Xuyang Hu, Xiaoye Qu, Linjie Li, Yu Cheng
2025 J jnl
Towards an AI Musician: Synthesizing Sheet Music Problems for Musical Reasoning.
CoRR
Zhilin Wang, Zhe Yang, Yun Luo, Yafu Li, Xiaoye Qu, Ziqian Qiao, Haoran Zhang, Runzhe Zhan, Derek F. Wong, Jizhe Zhou, Yu Cheng
2025 — conf
Unveiling Attractor Cycles in Large Language Models: A Dynamical Systems View of Successive Paraphrasing.
ACL (1)
Zhilin Wang, Yafu Li, Jianhao Yan, Yu Cheng, Yue Zhang
2025 J jnl
Unveiling Attractor Cycles in Large Language Models: A Dynamical Systems View of Successive Paraphrasing.
CoRR
Zhilin Wang, Yafu Li, Jianhao Yan, Yu Cheng, Yue Zhang
2025 J jnl
VideoSSR: Video Self-Supervised Reinforcement Learning.
CoRR
Zefeng He, Xiaoye Qu, Yafu Li, Siyuan Huang, Daizong Liu, Yu Cheng
2024 J jnl
Generating Diverse Criteria On-the-Fly to Improve Point-wise LLM Rankers.
CoRR
Fang Guo, Wenyu Li, Honglei Zhuang, Yun Luo, Yafu Li, Le Yan, Yue Zhang
2024 J jnl
Keys to Robust Edits: from Theoretical Insights to Practical Advances.
CoRR
Jianhao Yan, Futing Wang, Yun Luo, Yafu Li, Yue Zhang
2024 J jnl
LexMatcher: Dictionary-centric Data Collection for LLM-based Machine Translation.
CoRR
Yongjing Yin, Jiali Zeng, Yafu Li, Fandong Meng, Yue Zhang
2024 — conf
LexMatcher: Dictionary-centric Data Curation for LLM-based Machine Translation.
EMNLP (Findings)
Yongjing Yin, Jiali Zeng, Yafu Li, Fandong Meng, Yue Zhang
2024 — conf
MAGE: Machine-generated Text Detection in the Wild.
ACL (1)
Yafu Li, Qintong Li, Leyang Cui, Wei Bi, Zhilin Wang, Longyue Wang, Linyi Yang, Shuming Shi, Yue Zhang
2024 — conf
Multi-level Contrastive Learning for Keyphrase Generation.
ICIC (LNAI 3)
Yafu Li, Shinian Li, Heng Yu, Wu Zhuang
2024 J jnl
On compositional generalization of transformer-based neural machine translation.
Inf. Fusion
Yongjing Yin, Lian Fu, Yafu Li, Yue Zhang
2024 J jnl
Potential and Challenges of Model Editing for Social Debiasing.
CoRR
Jianhao Yan, Futing Wang, Yafu Li, Yue Zhang
2024 — conf
Spotting AI's Touch: Identifying LLM-Paraphrased Spans in Text.
ACL (Findings)
Yafu Li, Zhilin Wang, Leyang Cui, Wei Bi, Shuming Shi, Yue Zhang
2024 J jnl
Spotting AI's Touch: Identifying LLM-Paraphrased Spans in Text.
CoRR
Yafu Li, Zhilin Wang, Leyang Cui, Wei Bi, Shuming Shi, Yue Zhang
2024 A* conf
Understanding In-Context Learning from Repetitions.
ICLR
Jianhao Yan, Jin Xu, Chiyu Song, Chenming Wu, Yafu Li, Yue Zhang
2024 — conf
What Have We Achieved on Non-autoregressive Translation?
ACL (Findings)
Yafu Li, Huajian Zhang, Jianhao Yan, Yongjing Yin, Yue Zhang
2024 J jnl
What Have We Achieved on Non-autoregressive Translation?
CoRR
Yafu Li, Huajian Zhang, Jianhao Yan, Yongjing Yin, Yue Zhang
2023 J jnl
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning.
CoRR
Yun Luo, Zhen Yang, Fandong Meng, Yafu Li, Jie Zhou, Yue Zhang
2023 — conf
Consistency Regularization Training for Compositional Generalization.
ACL (1)
Yongjing Yin, Jiali Zeng, Yafu Li, Fandong Meng, Jie Zhou, Yue Zhang
2023 J jnl
Deepfake Text Detection in the Wild.
CoRR
Yafu Li, Qintong Li, Leyang Cui, Wei Bi, Longyue Wang, Linyi Yang, Shuming Shi, Yue Zhang
2023 — conf
Explicit Syntactic Guidance for Neural Text Generation.
ACL (1)
Yafu Li, Leyang Cui, Jianhao Yan, Yongjing Yin, Wei Bi, Shuming Shi, Yue Zhang
2023 J jnl
Explicit Syntactic Guidance for Neural Text Generation.
CoRR
Yafu Li, Leyang Cui, Jianhao Yan, Yongjing Yin, Wei Bi, Shuming Shi, Yue Zhang
2023 — conf
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective.
ACL (Findings)
Linyi Yang, Shuibai Zhang, Libo Qin, Yafu Li, Yidong Wang, Hanmeng Liu, Jindong Wang, Xing Xie, Yue Zhang
2023 — conf
Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation.
ACL (1)
Yulong Chen, Huajian Zhang, Yijie Zhou, Xuefeng Bai, Yueguan Wang, Ming Zhong, Jianhao Yan, Yafu Li, Judy Li, Xianchao Zhu, Yue Zhang
2023 J jnl
Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation.
CoRR
Yulong Chen, Huajian Zhang, Yijie Zhou, Xuefeng Bai, Yueguan Wang, Ming Zhong, Jianhao Yan, Yafu Li, Judy Li, Michael Zhu, Yue Zhang
2023 J jnl
Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models.
CoRR
Yue Zhang, Yafu Li, Leyang Cui, Deng Cai, Lemao Liu, Tingchen Fu, Xinting Huang, Enbo Zhao, Yu Zhang, Yulong Chen, Longyue Wang, Anh Tuan Luu, Wei Bi, Freda Shi, Shuming Shi
2023 J jnl
Understanding In-Context Learning from Repetitions.
CoRR
Jianhao Yan, Jin Xu, Chiyu Song, Chenming Wu, Yafu Li, Yue Zhang
2022 B conf
Categorizing Semantic Representations for Neural Machine Translation.
COLING
Yongjing Yin, Yafu Li, Fandong Meng, Jie Zhou, Yue Zhang
2022 J jnl
Categorizing Semantic Representations for Neural Machine Translation.
CoRR
Yongjing Yin, Yafu Li, Fandong Meng, Jie Zhou, Yue Zhang
2022 J jnl
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective.
CoRR
Linyi Yang, Shuibai Zhang, Libo Qin, Yafu Li, Yidong Wang, Hanmeng Liu, Jindong Wang, Xing Xie, Yue Zhang
2022 J jnl
Label Attention Network for Structured Prediction.
IEEE ACM Trans. Audio Speech Lang. Process.
Leyang Cui, Yafu Li, Yue Zhang
2022 A* conf
Multi-Granularity Optimization for Non-Autoregressive Translation.
EMNLP
Yafu Li, Leyang Cui, Yongjing Yin, Yue Zhang
2022 J jnl
Multi-Granularity Optimization for Non-Autoregressive Translation.
CoRR
Yafu Li, Leyang Cui, Yongjing Yin, Yue Zhang
2022 — conf
Prompt-Driven Neural Machine Translation.
ACL (Findings)
Yafu Li, Yongjing Yin, Jing Li, Yue Zhang
2021 — conf
On Compositional Generalization of Neural Machine Translation.
ACL/IJCNLP (1)
Yafu Li, Yongjing Yin, Yulong Chen, Yue Zhang
2021 J jnl
On Compositional Generalization of Neural Machine Translation.
CoRR
Yafu Li, Yongjing Yin, Yulong Chen, Yue Zhang
2021 — conf
Sentence-State LSTMs For Sequence-to-Sequence Learning.
NLPCC (1)
Xuefeng Bai, Yafu Li, Zhirui Zhang, Mingzhou Xu, Boxing Chen, Weihua Luo, Derek F. Wong, Yue Zhang