Bo Zeng
10 papers · 2018–2026 · 6 venues · across top CS/AI venues
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Achievements
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Research topics
Machine Learning
(7)
Artificial Intelligence
(5)
Core AI
(5)
Natural Language Processing
(4)
Applications
(4)
Optimization & Theory
(4)
Deep Learning
(3)
Application Areas
(3)
Mathematics & Optimization
(2)
Learning Types Β· Deep Learning
(2)
Learning Types Β· Machine Learning
(2)
Optimization
(2)
Resources & Methods
(2)
Reinforcement Learning
(1)
Security & Privacy
(1)
Keywords
inverse optimization
(3)
supervised fine-tuning
(2)
large language model
(2)
reinforcement learning
(2)
multi-objective optimization
(2)
machine translation
(2)
direct preference optimization
(1)
preference learning
(1)
online learning
(1)
preference alignment
(1)
cross-lingual transfer
(1)
chain-of-thought reasoning
(1)
preference optimization
(1)
language model evaluation
(1)
computational efficiency
(1)
parameter estimation
(1)
quality estimation
(1)
instruction following
(1)
knowledge distillation
(1)
reading comprehension
(1)
Papers
M2PO: Multi-Perspective Multi-Pair Preference Optimization for Machine Translation
ACL 2026
PCFormer: Accelerating Privacy-preserving Transformer Inference by Partition and Combination
AAAI 2026
Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language
ACL 2025
Marco Large Translation Model at WMT2025: Transforming Translation Capability in LLMs via Quality-Aware Training and Decoding
EMNLP 2025
Marco-o1 v2: Towards Widening The Distillation Bottleneck for Reasoning Models
ACL 2025
Chronic Poisoning: Backdoor Attack against Split Learning
AAAI 2024
PINGAN Omini-Sinitic at SemEval-2021 Task 4:Reading Comprehension of Abstract Meaning
SemEval 2021
Wasserstein Distributionally Robust Inverse Multiobjective Optimization
AAAI 2021
Expert Learning through Generalized Inverse Multiobjective Optimization: Models, Insights, and Algorithms
ICML 2020
Generalized Inverse Optimization through Online Learning
NeurIPS 2018