Sen Zhang
16 papers · 2021–2026 · 9 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
π Renaissance Researcher (5) π Interdisciplinary Bridge π Academic Marathon (5) π Conference Polyglot (9) πΊοΈ Taxonomy Completionist (25)
π
Academic Marathon
(5)
π§
Keyword Pioneer
π
Renaissance Researcher
(5)
π€
Dynamic Duo
(10)
π
Triple Crown
π₯
Unstoppable
(6)
π
Century Club
(16)
β‘
Prolific Year
(5)
Conferences
ICLR (3)
ICML (3)
ECCV (2)
EMNLP (2)
NIPS (2)
ACL (1)
INTERSPEECH (1)
NSDI (1)
WACV (1)
Top co-authors
Keywords
large language model
(2)
knowledge distillation
(2)
offline reinforcement learning
(1)
information bottleneck
(1)
policy gradient
(1)
preference learning
(1)
machine translation
(1)
language model alignment
(1)
natural language inference
(1)
multimodal learning
(1)
summarization evaluation
(1)
3d vision
(1)
policy learning
(1)
sign language translation
(1)
deepfake detection
(1)
ensemble learning
(1)
procedural generation
(1)
model parallelism
(1)
reinforcement learning from human feedback
(1)
reward modeling
(1)
Papers
Large Sign Language Models: Toward 3D American Sign Language Translation
WACV 2026
βYes, My LoRD.β Guiding Language Model Extraction with Locality Reinforced Distillation
ACL 2025
FreDF: Learning to Forecast in the Frequency Domain
ICLR 2025
Cardiverse: Harnessing LLMs for Novel Card Game Prototyping
EMNLP 2025
NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language Models
ICLR 2025
The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking
ICML 2025
SimAI: Unifying Architecture Design and Performance Tuning for Large-Scale Large Language Model Training with Scalability and Precision
NSDI 2025
InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling
NIPS 2024
Offline Behavior Distillation
NIPS 2024
Towards Theoretical Understandings of Self-Consuming Generative Models
ICML 2024
Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases
ICML 2024
Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages
ICLR 2024
Robust Audio Anti-Spoofing with Fusion-Reconstruction Learning on Multi-Order Spectrograms
INTERSPEECH 2023
"Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics"
ECCV 2022
"JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes"
ECCV 2022
Fine-grained Factual Consistency Assessment for Abstractive Summarization Models
EMNLP 2021