Sen Zhang
16 papers · 2021–2026 · 9 venues · across top CS/AI venues
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Research topics
Machine Learning
(11)
Artificial Intelligence
(8)
Core AI
(8)
Deep Learning
(6)
Learning Types Β· Machine Learning
(6)
Natural Language Processing
(4)
Application Areas
(4)
Models
(4)
Reinforcement Learning
(3)
Methods
(3)
Optimization & Theory
(3)
Generation
(2)
Learning Types Β· Deep Learning
(2)
Resources & Methods
(2)
Core Methods
(1)
Keywords
diffusion model
(2)
reward hacking
(2)
large language model
(2)
policy gradient
(2)
reward overoptimization
(2)
knowledge distillation
(2)
information bottleneck
(1)
ensemble learning
(1)
sample efficiency
(1)
machine translation
(1)
factual accuracy
(1)
natural language inference
(1)
data augmentation
(1)
multimodal learning
(1)
deepfake detection
(1)
offline reinforcement learning
(1)
sign language translation
(1)
policy learning
(1)
preference learning
(1)
3d vision
(1)
Papers
Large Sign Language Models: Toward 3D American Sign Language Translation
WACV 2026
Cardiverse: Harnessing LLMs for Novel Card Game Prototyping
EMNLP 2025
FreDF: Learning to Forecast in the Frequency Domain
ICLR 2025
NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language Models
ICLR 2025
SimAI: Unifying Architecture Design and Performance Tuning for Large-Scale Large Language Model Training with Scalability and Precision
NSDI 2025
The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking
ICML 2025
βYes, My LoRD.β Guiding Language Model Extraction with Locality Reinforced Distillation
ACL 2025
Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases
ICML 2024
InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling
NeurIPS 2024
Offline Behavior Distillation
NeurIPS 2024
Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages
ICLR 2024
Towards Theoretical Understandings of Self-Consuming Generative Models
ICML 2024
Robust Audio Anti-Spoofing with Fusion-Reconstruction Learning on Multi-Order Spectrograms
Interspeech 2023
"JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes"
ECCV 2022
"Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics"
ECCV 2022
Fine-grained Factual Consistency Assessment for Abstractive Summarization Models
EMNLP 2021