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Fuli Feng
Observed name:
Feng, Fuli
Institutions:
University of Science and Technology of China,
National University of Singapore
Observed institutions:
University of Science and Technology of China,
National University of Singapore
ORCID:
0000-0002-5828-9842
Observed ORCID:
0000-0002-5828-9842
OpenAlex ID:
A5136072755
AlpsBench: An LLM Personalization Benchmark for Real-Dialogue Memorization and Preference Alignment
2026
·
Jianfei Xiao
, Xiang Yu
, et al.
·
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
·
1
Latent Residual Reasoning for Ranking in Generative Recommendation
2026
·
Shi, Haihan
, Han, Ruidong
, et al.
·
arXiv (Cornell University)
PDF
Select-TTT: Query-Conditioned Selective Fast Weight Updates for In-Place Test-Time Training
2026
·
Wu, Yue
, Zhang, Yang
, et al.
·
arXiv (Cornell University)
PDF
Self-Evolving Memory for Generative Recommendation
2026
·
Lin, Xinyu
, Jiang, Zhuosong
, et al.
·
arXiv (Cornell University)
PDF
Optimizing Visual Generative Models via Distribution-wise Rewards
2026
·
Li, Ruihang
, Xu, Mengde
, et al.
·
arXiv (Cornell University)
PDF
Controllable LLM Reasoning via Sparse Autoencoder‑Based Steering
2026
·
Association for Computational Linguistics 2026
, Deng, Boyi
, et al.
·
Underline Science Inc.
MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation
2026
·
Association for Computational Linguistics 2026
, Bao, Keqin
, et al.
·
Underline Science Inc.
Efficient Multi-Agent System Training with Data Influence-Oriented Tree Search
2026
·
Association for Computational Linguistics 2026
, Feng, Fuli
, et al.
·
Underline Science Inc.
TROJail: Trajectory-Level Optimization for Multi-Turn Large Language Model Jailbreaks with Process Rewards
2026
·
Association for Computational Linguistics 2026
, Feng, Fuli
, et al.
·
Underline Science Inc.
PERM: Psychology-grounded Empathetic Reward Modeling for Large Language Models
2026
·
Association for Computational Linguistics 2026
, Cheng, Junyi
, et al.
·
Underline Science Inc.
ReList: A Multi-objective Reasoning Framework for Diversified Listwise Query Recommendation
2026
·
Association for Computational Linguistics 2026
, Bi, Shuxian
, et al.
·
Underline Science Inc.
AJ-Bench: Benchmarking Agent-as-a-Judge for Environment-Aware Evaluation
2026
·
Association for Computational Linguistics 2026
, Cai, Xunliang
, et al.
·
Underline Science Inc.
Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges
2026
·
Wang, Bohao
, Cui, Yu
, et al.
·
arXiv (Cornell University)
PDF
SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs
2026
·
Li, Xiaoyuan
, Li, Moxin
, et al.
·
arXiv (Cornell University)
PDF
UniCustom: Unified Visual Conditioning for Multi-Reference Image Generation
2026
·
Xu, Yiyan
, Wang, Qiulin
, et al.
·
arXiv (Cornell University)
PDF
On Predicting the Post-training Potential of Pre-trained LLMs
2026
·
Li, Xiaoyuan
, Ma, Yubo
, et al.
·
arXiv (Cornell University)
PDF
SAGE: Scalable Automated Robustness Augmentation for LLM Knowledge Evaluation
2026
·
Li, Xiaoyuan
, Wang, Yuzhe
, et al.
·
arXiv (Cornell University)
PDF
Objective Shaping with Hard Negatives: Windowed Partial AUC Optimization for RL-based LLM Recommenders
2026
·
Shi, Wentao
, Wang, Qifan
, et al.
·
arXiv (Cornell University)
PDF
AJ-Bench: Benchmarking Agent-as-a-Judge for Environment-Aware Evaluation
2026
·
Shi, Wentao
, Wang, Yu
, et al.
·
arXiv (Cornell University)
PDF
Breaking User-Centric Agency: A Tri-Party Framework for Agent-Based Recommendation
2026
·
Gong, Yaxin
, Gao, Chongming
, et al.
·
arXiv (Cornell University)
PDF
Verifiable Reasoning for LLM-based Generative Recommendation
2026
·
Lin, Xinyu
, Zeng, Hanqing
, et al.
·
arXiv (Cornell University)
PDF
NextAds: Towards Next-generation Personalized Video Advertising
2026
·
Xu, Yiyan
, Xia, Ruoxuan
, et al.
·
arXiv (Cornell University)
PDF
Bringing Reasoning to Generative Recommendation Through the Lens of Cascaded Ranking
2026
·
Lin, Xinyu
, Liu, Pengyuan
, et al.
·
arXiv (Cornell University)
PDF
Towards Sample-Efficient and Stable Reinforcement Learning for LLM-based Recommendation
2026
·
Ding, Hongxun
, Bao, Keqin
, et al.
·
arXiv (Cornell University)
PDF
416 - Navigating Through Paper Flood: Advancing LLM-Based Paper Evaluation Through Domain-Aware Retrieval and Latent Reasoning
2026
·
Association for Artificial Intelligence 2026
, Feng, Fuli
, et al.
·
Underline Science Inc.
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Works count:
30
Citation count:
1
H-index:
1
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