Jiaming Shen

13 papers at tracked venues · 10 at CORE A* · active 2024–2025

DBLP profile ↗ORCID search ↗

Venues

ACL ×3 ICLR ×2 NAACL ×2 AAAI ×1 ACM MM ×1 EMNLP ×1 SIGKDD ×1 SOSP ×1 WWW ×1

Frequent coauthors

Tianqi Liu

×9

Zhen Qin

×8

Jialu Liu

×7

Michael Bendersky

×6

Rishabh Joshi

×3

Mohammad Saleh

×3

Junru Wu

×3

Simon Baumgartner

×3

Chao Zhang

×3

Wei Xiong

×2

Misha Khalman

×2

Bilal Piot

×2

Papers

Building Math Agents with Multi-Turn Iterative Preference Learning
ICLR 2025 ·
Wei Xiong
,
Chengshuai Shi
, Jiaming Shen,
Aviv Rosenberg
,
Zhen Qin
,
Daniele Calandriello
,
Misha Khalman
,
Rishabh Joshi
,
Bilal Piot
,
Mohammad Saleh
,
Chi Jin
,
Tong Zhang
,
Tianqi Liu
HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multi-task Learning
AAAI 2025 ·
Rong Han
,
Wenbing Huang
,
Lingxiao Luo
,
Xinyan Han
, Jiaming Shen,
Zhiqiang Zhang
,
Jun Zhou
,
Ting Chen
IC-Cache: Efficient Large Language Model Serving via In-context Caching
SOSP 2025 ·
Yifan Yu
,
Yu Gan
,
Nikhil Sarda
,
Lillian Tsai
, Jiaming Shen,
Yanqi Zhou
,
Arvind Krishnamurthy
,
Fan Lai
,
Hank Levy
,
David E. Culler
LiPO: Listwise Preference Optimization through Learning-to-Rank
NAACL 2025 ·
Tianqi Liu
,
Zhen Qin
,
Junru Wu
, Jiaming Shen,
Misha Khalman
,
Rishabh Joshi
,
Yao Zhao
,
Mohammad Saleh
,
Simon Baumgartner
,
Jialu Liu
,
Peter J. Liu
,
Xuanhui Wang
RRM: Robust Reward Model Training Mitigates Reward Hacking
ICLR 2025 ·
Tianqi Liu
,
Wei Xiong
,
Jie Ren
,
Lichang Chen
,
Junru Wu
,
Rishabh Joshi
,
Yang Gao
, Jiaming Shen,
Zhen Qin
,
Tianhe Yu
,
Daniel Sohn
,
Anastasia Makarova
,
Jeremiah Zhe Liu
,
Yuan Liu
,
Bilal Piot
,
Abe Ittycheriah
,
Aviral Kumar
,
Mohammad Saleh
TELEClass: Taxonomy Enrichment and LLM-Enhanced Hierarchical Text Classification with Minimal Supervision
WWW 2025 ·
Yunyi Zhang
,
Ruozhen Yang
,
Xueqiang Xu
,
Rui Li
,
Jinfeng Xiao
, Jiaming Shen,
Jiawei Han
Bridging the Gap: Sketch-Aware Interpolation Network for High-Quality Animation Sketch Inbetweening
ACM MM 2024 · Jiaming Shen,
Kun Hu
,
Wei Bao
,
Chang Wen Chen
,
Zhiyong Wang
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning
ACL 2024 ·
Yue Yu
, Jiaming Shen,
Tianqi Liu
,
Zhen Qin
,
Jing Nathan Yan
,
Jialu Liu
,
Chao Zhang
,
Michael Bendersky
Knowledge Distillation with Perturbed Loss: From a Vanilla Teacher to a Proxy Teacher
SIGKDD 2024 ·
Rongzhi Zhang
, Jiaming Shen,
Tianqi Liu
,
Jialu Liu
,
Michael Bendersky
,
Marc Najork
,
Chao Zhang
Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting
NAACL 2024 ·
Zhen Qin
,
Rolf Jagerman
,
Kai Hui
,
Honglei Zhuang
,
Junru Wu
,
Le Yan
, Jiaming Shen,
Tianqi Liu
,
Jialu Liu
,
Donald Metzler
,
Xuanhui Wang
,
Michael Bendersky
Multilingual Fine-Grained News Headline Hallucination Detection
EMNLP 2024 · Jiaming Shen,
Tianqi Liu
,
Jialu Liu
,
Zhen Qin
,
Jay Pavagadhi
,
Simon Baumgartner
,
Michael Bendersky
PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs
ACL 2024 ·
Rongzhi Zhang
, Jiaming Shen,
Tianqi Liu
,
Haorui Wang
,
Zhen Qin
,
Feng Han
,
Jialu Liu
,
Simon Baumgartner
,
Michael Bendersky
,
Chao Zhang
Predicting Text Preference Via Structured Comparative Reasoning
ACL 2024 ·
Jing Nathan Yan
,
Tianqi Liu
,
Justin T. Chiu
, Jiaming Shen,
Zhen Qin
,
Yue Yu
,
Charumathi Lakshmanan
,
Yair Kurzion
,
Alexander M. Rush
,
Jialu Liu
,
Michael Bendersky